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PwC logo

Cloud Data & Analytics Strategy Senior Associate (Insurance)

PwCPhiladelphia, PA

$77,000 - $202,000 / year

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 30+ days ago

W logo

Mid-Level Software Engineer - Semantic Data Modeling

WEX Inc.San Francisco, CA

$96,100 - $115,500 / year

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA and Seattle/WA. About the Team / Role WEX is on a mission to transform its data into a strategic, enterprise-wide asset. As a Software Engineer on the Semantic Data Modeling team, you will help build the core data foundation that defines how we structure, transform, and understand key business entities across domains-such as customers, fleets, providers, and transactions. You'll contribute to designing and delivering scalable, maintainable, and trusted data models that power analytics, reporting, automation, and AI throughout WEX. This is a great opportunity for an engineer who wants to make an impact at the heart of a data-driven transformation. This is not a reporting role-it's a platform-building role at the heart of WEX's data transformation. You'll help define how data is interpreted, trusted, and reused across products, analytics, and machine learning. If you're excited by the challenge of scaling meaning, not just data, this is the role for you. How you'll make an impact Develop and maintain semantically consistent 360 data models used across WEX products and business functions. Collaborate with senior engineers and architects to build robust, reusable data transformations and derived attributes. Write clean, scalable, and testable code to implement complex logic across wide, entity-based data tables. Help improve data standardization, enrichment, validation, and schema enforcement throughout the modeling layer. Participate in design discussions, code reviews, and backlog grooming for semantic layer initiatives. Work cross-functionally with data acquisition, data products, and business teams to deliver trusted data assets. Gain a good understanding of data and the business/product and user experience logic behind the data. Document technical approaches and ensure traceability of business logic and data derivation. Experience you'll bring 3-6 years of experience as a software or data engineer, preferably in environments working with large-scale datasets and complex transformations. Strong programming skills in SQL and at least one general-purpose language (Python, Scala, or similar). Understanding of data modeling principles-especially entity-centric and wide-table designs. Familiarity with software engineering practices: testing, version control, modularization, documentation. A mindset for scalability, quality, and clarity-you care about getting things right, not just getting them done. Curiosity, ownership, and a collaborative approach to building shared systems and platforms. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $96,100.00 - $115,500.00

Posted 3 weeks ago

LPL Financial Services logo

Capability Data Product Owner - Account Lifecycle Management

LPL Financial ServicesFort Mill, SC

$109,270 - $182,117 / year

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: We are seeking a strategic and detail-oriented Data Product Owner to lead the development and integration of data products that drive business value and enhance customer experience. This role will serve as the bridge between business stakeholders, technical teams, and data integration partners, ensuring that data initiatives are aligned with organizational goals and executed with precision. Responsibilities: Stakeholder Communication & Collaboration Act as the primary liaison between product managers, architects, business stakeholders, and technical teams. Facilitate clear, consistent, and proactive communication across cross-functional teams. Collaborate with Compass integration teams to gather metadata, documentation, and data samples. Champion a customer-centric mindset, ensuring data products meet user needs and deliver measurable value. Jira Ticket Management Define and document data requirements and acceptance criteria for user stories. Maintain traceability between business requirements and technical implementation. Monitor progress of Compass-related features and stories, raising blockers and dependencies proactively. Scrum & Agile Participation Represent the data product team in all scrum ceremonies including sprint planning, refinement, retrospectives, and daily standups. Partner with Compass integration teams to support agile delivery and ensure alignment on data needs. Data Analysis & Profiling Provide actionable insights to stakeholders through data exploration and analysis. Support data-driven decision-making across teams. Lead and guide Data Analysts in validating reported issues and performing production data validation across environments. Data Quality & Governance Ensure data products adhere to quality standards and governance protocols. Support documentation and change management processes, especially regarding impacts to existing Systems of Record (SORs). Promote best practices in data stewardship and compliance. Documentation & Reporting Create and maintain business requirement documents (BRDs), use cases, and user stories. Post and manage relevant artifacts in Confluence for team visibility and alignment. Track and report on project progress, key metrics, and delivery milestones. What are we looking for? We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Requirements: 7+ years' experience in data warehouse design, data management, data governance, business intelligence and analytics, or similar. 7+ years and expert level use of reading and coding in SQL. Proven experience in individual contributor-level data management roles like data analyst, data modeler, data pipeline engineer, BI analyst, or developer 5+ years' experience with JIRA and Confluence Core Competencies: Hands-on data analysis, source-to-target mapping, data lineage tracing, remediation, etc. Experience coding or reading and understanding data transformations in pipelines. Experience designing and implementing a variety of data architecture patterns. Experience using and developing in a variety of RDBMS like AWS, Snowflake, etc. Wealth management and wealth advisory services industry experience. Prior people leadership experience. Prior experience in a data product management role Agile and lean delivery methods and associated tools like Confluence, Jira, etc. Solid understanding of relational, star, snowflake data modeling. Solid knowledge base of data governance including data quality rules coding and implementation, data catalogs, quality scorecard development, data lineage, mastering data, and reference data management. Pay Range: $109,270-$182,117/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

Posted 2 weeks ago

Z logo

*Senior Data Scientist

Zurich Insurance Company Ltd.Schaumburg, IL
Zurich (Schaumburg, IL) seeks a Senior Data Scientist to prepare data sets in various types and from various sources to build predictive models and work closely with business stakeholders to understand their challenges and provide advanced analytical solutions. Specific duties include: design, prototype, and deploy interactive Generative AI applications-such as document chatbots, summarization tools, and retrieval systems-using Retrieval-Augmented Generation (RAG) framework and Streamlit built on Databricks Apps; conduct research and development on document retrieval techniques, including large-document parsing and ingestion using Azure Document Intelligence and Unstructured for complex formats; implement tabular data chunking and metadata preservation using LangChain and Unstructured; optimize vector search index structures and embedding strategies with Azure AI Search and LlamaIndex; and perform large language model (LLM) evaluation and assessment using tools like Ragas and Hugging Face; build, train, and deploy production-grade machine learning and NLP models for tasks such as document classification, entity recognition, and keyword extraction, leveraging Azure Databricks or similar cloud-based infrastructure; develop standardized frameworks and key metrics for predictive model performance monitoring using Databricks Model Serving and Inference Tables; implement monitoring and logging to ensure model accuracy, reliability, and compliance; perform exploratory data analysis (EDA) on insurance datasets using Python libraries (pandas, numpy, seaborn, PySpark) and SQL to uncover insights and support modeling strategies; and collaborate with cross-functional teams to translate business needs into scalable ML solutions, support data ingestion and extraction, and assist in building Power BI dashboards. Option to work remotely from anywhere in the U.S. Position requires a Master's degree, or foreign equivalent, in Computer Science, Data Science, Business Analytics, or a closely related field of study, plus 2 years of experience in the job offered, or as a Data Scientist, or similar position preparing data sets in various types and from various sources build predictive models. Must have 2 years of experience with each of the following: developing predictive models and applying machine learning algorithms including regression, classification, clustering, and decision trees using Python and associated data science libraries including Pandas, Numpy, and Scikit-learn; working with Natural Language Processing (NLP) techniques, including document classification, entity extraction, and summarization; using SQL queries for database management; communicating technical findings through data visualization tools including Power BI; and collaborating with business stakeholders and cross-functional teams. Option to work remotely from anywhere in the U.S. Full time position. Apply by submitting your resumes at Zurichna.com/en/careers, Job ID: 129534 At Zurich, compensation for roles is influenced by a variety of factors, including but not limited to the specific office location, role, skill set, and level of experience. In compliance with local laws, Zurich commits to providing a fair and reasonable compensation range for each role. For more information about our Total Rewards, please click here. Additional rewards may encompass short-term incentive bonuses and merit increases. We encourage candidates with salary expectations beyond the provided range to apply, as they will be considered based on their experience, skills, and education. The salary indicated represents a nationwide market range and has not been adjusted for geographic differentials pertaining to the location where the position may be filled. The proposed salary range for this position is $114,400. Why Zurich? At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment-so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500. Join us for a brighter future-for yourself and our customers. Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets. Zurich complies with 18 U.S. Code § 1033. Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal. Location(s): AM - Schaumburg Remote Working: Yes Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-DNI #NAAIA Nearest Major Market: Chicago

Posted 30+ days ago

Infosys LTD logo

Sr Data Scientist

Infosys LTDDenver, CO

$103,500 - $188,888 / year

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Posted 2 weeks ago

Metropolitan Transit Authority logo

Manager, Police Data Administration

Metropolitan Transit AuthorityHouston, TX

$76,200 - $100,000 / year

Basic Function Manages all parameters of operations within the Data Administration Unit including the management, coordination, and administration of critical programs, systems, and data operations within the METRO Police Department. Provides expertise in Data Management, Data Quality, and Data Governance. Ensures the effective implementation of policies, projects, and procedures to enhance public safety, operational efficiency, and departmental performance. Maintains statistical data to assist with crime analysis efforts and ensure compliance with all reporting requirements. Performs duties in a safe, efficient manner and in compliance with applicable rules and safety procedures. Responsibilities and Specific Duties Provides primary managerial direction and performs personnel administrative functions of direct report staff (e.g., training, supervising, work assignments, timesheets, performance evaluations, etc.) for the purpose of maintaining necessary staffing, enhancing productivity of staff, and ensuring necessary department outcomes are achieved. Monitors departmental operations to ensure effective coordination, information flow, and policy compliance related to data (information), data governance, and provides records management support. Proficient in Records Management System (RMS) to ensure direct reports accurately perform review of incident reports and ensure accuracy of NIBRS coding. Develops, designs, and implements data quality policies and procedures to ensure accurate and appropriate information is communicated in reports and presentations. Sets priorities, determines methodologies, and selects techniques and approaches to be utilized in statistical analysis. Leads team in data-oriented analysis, business analytics, and process improvements that will ensure data integrity and reporting by identifying and resolving problem areas. Leads the creation of data management goals and principles to ensure compliance with required law enforcement standards and reporting. Develop methods for utilizing and tracking information by providing comprehensive reports, informational graphics, and visual aid to inform key policy makers about issues impacting the department. Plans the work of the assigned areas, determining optimal utilization of resources and staffing within allocated operating budgets. Manages departmental functions, establishes goals, and evaluates performance to align with public safety objectives. Oversees departmental budgets, resource allocation, and expenditure monitoring. Develops and enforces policies, procedures, and operational strategies to enhance efficiency and effectiveness regarding data administration, data governance, and records management requirements and implementation. Develops and evaluates law enforcement projects and strategies to improve operational effectiveness. Develops long-term and short-term strategic plans to enhance law enforcement operations and community engagement. Implements crime analysis and data-driven strategies to support policing efforts. Ensures required reports and responsive materials are submitted on or before the due date. Coordinates special projects, research, and performance analysis to provide data-driven decisions. Prepares detailed reports, operational manuals, and policy recommendations for executive leadership. Reviews all reports and correspondence routed from the Data Administration Unit to the departmental Command Staff. Oversees special projects, including Police systems administration (CAD/RMS & Language Line), crime analysis, and intelligence-led policing efforts. Conducts research on crime trends, policing innovations, and best practices to enhance department operations. Facilitates stakeholder meetings to establish and monitor data governance standards. Assesses departmental policies and procedures to improve effectiveness and compliance. Ensures compliance with local, state, and federal laws, as well as departmental policies and best practices. Provides excellent customer service to METRO internal and external customers. Applies SMS (Safety Management System) methods and principles in daily routine and supports all aspects of the agency's Public Transportation Agency Safety Plan (PTASP). Promotes safety awareness and follows safety procedures to reduce or eliminate accidents. Performs other job-related duties as assigned. Salary Range 76,200 - 100,000 Education Requirement Bachelor's degree in data management, analytics, criminal justice or a related field is required. Advanced degree is preferred. Years & Experience Required Minimum eight (8) years progressive experience in a professional environment managing special projects, data administration, data governance, data analytics, and budget management to include (4) years lead/supervisory experience. Experience working within a law enforcement environment preferred. Knowledge & Skills Required Requires expertise in operational planning and data driven analysis. Requires strong decision-making, problem-solving, and leadership skills to support the mission of the METRO Police Department. A solid understanding of crime data collection and reporting using the National Transit Database (NTD) and the Uniform Crime Reporting (UCR) Program's National Incident-Based Reporting System (NIBRS) is preferred. Knowledge of local, state, and federal laws and regulations relevant to criminal justice is preferred. This position requires a background check. Common disqualifiers include, but are not limited to: Class A or Felony conviction or court-ordered supervision or probation regardless of date of conviction. Class B conviction or court-ordered supervision or probation within the past 10 years. Additional Information The Metropolitan Transit Authority of Harris County, Texas has a zero tolerance drug and alcohol policy for all employees. All internal and external applicants will be required to undergo drug testing before employment and will be subject to further drug and/or alcohol testing throughout their employment. Further, employees who perform safety-sensitive functions will submit to drug and/or alcohol testing in accordance to the Department of Transportation (DOT) and the Federal Transit Administration (FTA) regulatory requirements. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, sex, national origin, veteran status, genetic information or disability.

Posted 30+ days ago

Fox Rothschild logo

Lead Analyst, Digital Data Governance & Compliance

Fox RothschildRaleigh, NC

$90,000 - $132,000 / year

As a member of the Information Services department, the Lead Analyst, Digital Data Governance & Compliance will drive and support our firm-wide electronic governance initiatives. This key role will focus on ensuring integrity, security, accessibility, and compliance of data assets across the organization. The Lead Analyst will serve as a subject matter expert in data mapping, eDiscovery, Litigation Hold, internal data collections, and regulatory compliance - acting as both a strategic and tactical partner to business units, legal, compliance, and IT teams. ESSENTIAL FUNCTIONS: Data Governance Work closely with the Senior Manager, Digital Data Governance & Compliance to lead the strategy, implementation and management of comprehensive electronic data governance frameworks, standards, and policies. Develop and execute data lifecycle management processes for unstructured and structured digital content. Litigation Hold & Internal Data Collections Develop and execute Litigation Hold process, ensuring data relevant to ongoing or anticipated litigation is properly identified, preserved, and tracked throughout Litigation Hold lifecycle. Lead internal data collections in response to audits, investigations or internal reviews, ensuring completeness, chain of custody, and evidentiary standards are met. Data Mapping & Discovery Lead process for maintaining enterprise data map, ensuring all data assets, flows, and repositories are documented, regularly reviewed, and updated for accuracy. Partner with IT, legal, privacy, and business units to identify, classify, and document digital data assets across systems and platforms. Cross-functional Collaboration Collaborate with cross-functional teams (Legal, Compliance, Information Security, IT, Business Units) to identify risks, close control gaps, and support continuous improvement of data governance practices. Prepare and deliver training, guidance, and communications to staff regarding electronic data governance, best practices, and compliance obligations. Work with the Office of the General Counsel to support internal and external audits and investigations. Technology Strategy & Tools Evaluate and implement digital tools for litigation hold, data mapping, governance, and eDiscovery processes. Recommend solutions that improve efficiency, defensibility, and transparency of digital data operations. ADDITIONAL FUNCTIONS: Available to provide support after normal business hours, if required. Additional duties as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS, AND ABILITIES): Education: Bachelor's degree in Information Management, Computer Science, Business Administration, or a related field. A combination of education and experience will be considered in lieu of a degree. Experience: 7+ years of experience in digital data governance, compliance, data mapping, litigation hold or eDiscovery roles. Knowledge, Skills, & Abilities: Demonstrated experience with data governance programs, particularly in regulated and/or law firm environments. Working knowledge of SQL, PowerShell, and Power BI technologies. Strong understanding of litigation hold and internal investigation protocols. Familiarity with data governance and data management platforms such as Microsoft Purview, Relativity, or similar platforms. Strategic thinker with strong analytical and critical thinking skills. Excellent written and verbal communication skills. High integrity and sound judgment with sensitive information. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary ranges for this position apply to the respective listed locations. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. Reasonable estimates of the current ranges for this position are: Las Vegas & Minneapolis: $90,000 to $110,000 Chicago & Atlantic City: $105,000 to $120,000 Denver, Los Angeles, Morristown, Princeton, Washington, DC & Seattle: $115,000 to $126,000 New York & San Francisco: $126,000 to $132,000 For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

Posted 30+ days ago

C logo

Data Center Commissioning Senior Project Manager

Commissioning Agents Inc.Atlanta, GA

$128,300 - $150,800 / year

THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a Data Center Cx PM will include: Working with project teams at client sites to inspect, test, and troubleshoot data center/ building commissioning facilities and/ or equipment. This person is responsible for identifying and coordinating activities for commissioning and reporting. The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it. Electrical and/or Mechanical commissioning experience is required. Requirements include: Position Requirements: BS in an electrical, mechanical, engineering field or equivalent experience 12+ years or more of experience in commissioning and qualification in the Data Center industry, Leading large (minimum of 4 megawatts) projects/facilities. Comfort in the Construction industry (managing vendors, clients, subcontractors) is a plus. Experience with commissioning plans/test scripts, schedules, budgets, change orders and summary reports is desired. Experience managing multi-disciplinary teams with full commissioning responsibility is desired. Other Requirements: Excellent oral and written communication skills in English Able to travel domestically and internationally as required Able to work (paid) overtime Able to work in the US without sponsorship now or any time in the future. About CAI CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready? Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there. As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally: We act with integrity We serve each other We serve society We work for our future With employee ownership, one person's success is everyone's success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. Benefits Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company. CAI Operations DCx Managers will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services. #LI-MV1 #MISSIONCRITICAL $128,300 - $150,800 a year Average salary range, not including benefits or compensatory time and possible discretionary bonuses. CAI Benefits: Comprehensive Health Insurance coverage 24 days of Paid Time Off ESOP/401K - 15% Company Contribution (US Only) Company paid Life Insurance Company paid Long Term Disability We are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Posted 2 weeks ago

Everlight Solar logo

Project Data Assistant

Everlight SolarPhiladelphia, PA

$30,000 - $40,000 / year

Everlight Solar is seeking a skilled, data-minded individual to be an assistant to our Solar Project Manager. Our project managers and assistants oversee and coordinate the entire process for company projects, assisting customers, team members, and contractors, ensuring that each project is completed in a timely manner with high-quality results. This is a FULLY REMOTE, full-time, entry level position. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Everlight Solar is a rapidly growing company and the leader of solar energy in the Midwest. We offer a unique experience that fosters individual growth and rewards performance. Our culture at Everlight is extremely important to us. The work environment is fast-paced and dynamic. We value teamwork, quality, innovation, and customer success. Our ideal candidate is self-motivated, detail-oriented, has excellent problem-solving abilities, is passionate about delivering results on-time, exceeding expectations, and ensuring success for our teams. Responsibilities: Validates expectations with customers before, during, and after project completion. Exceeds customer expectations on a regular basis while performing excellent customer service. Successfully manages multiple projects through all phases. Ability to work independently under pressure, to organize and prioritize workloads, and to keep several projects progressing to completion with little or no direction. Ability to weigh options, foresee consequences, and employ good judgment. Serves as a liaison between field technicians, department management, government bodies, and customers. Use independent judgment to handle and troubleshoot all inquiries, questions, and complaints. Proactively completes projects on time. Reviews and oversees completed plans and project documentation for accuracy. Monitors equipment production to ensure product integrity. Consistently meets the overall project deadlines in a timely manner. Builds trust and confidence with contractors and the Project Management Team. Assists with managing multiple subcontractors across multiple states. Recruits and develops business relationships with new subcontractors. Drives sales and profitability through effective and efficient project execution. Understands principles and methods for showing, promoting, and selling products or services. This includes marketing strategy and tactics, product demonstration, sales techniques, and sales control systems. Requirements: Excellent organizational and time management skills. Excellent communication and interpersonal skills; both written and verbal. Extraordinary commitment to the highest level of customer service. Ability to work well with customers in verbal and in written communication. Remains calm when dealing with an upset or angry customer and listens to their concerns/questions. Positive, outgoing, energetic team player that enjoys working in a collaborative team environment. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Proven ability to function in all phases of the project development, from sales proposals and design, through project completion and closeout. Knowledge/Proficiency in Microsoft Office programs. Knowledge /Proficiency in Salesforce. Demonstrated sense of urgency and ownership in all assignments. Ability to collaborate closely with other team members on a wide variety of projects. Prepares timely and accurate paperwork. Participates in marketing activities and business development efforts. Experience with Solar. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Benefits: Health Insurance Dental Insurance Vision Insurance Life Insurance PTO Sick and Safe Time Paid Holidays Off Salary: $30,000-$40,000/ year Everlight Solar is proudly an Equal Opportunity Employer. We value diversity of all types and are excited to work with talented individuals from a wide range of backgrounds. Everlight is committed to inclusion and we invite people of any race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, nationality or sex, age groups (18+), and levels of education to apply. Authorized to work in the US and background check required.

Posted 2 weeks ago

PwC logo

Cloud Data & Analytics Strategy Senior Associate (Insurance)

PwCDes Moines, IA

$77,000 - $202,000 / year

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 30+ days ago

Q logo

Quality Assurance Senior Project Manager (Data Center Construction)

QTS Realty Trust, Inc.Fayetteville, GA
Who we are: It's pretty exciting to find yourself standing in a pivotal moment in time. It's even more exciting to be out front leading it. At QTS, our world-class data centers are supporting our customers' most strategic growth initiatives, positioning us at the forefront of today's dynamic digital transformation. As AI and cloud drive the demand for increased speed, capacity and capability, QTS has emerged as the global digital infrastructure leader, committed to connecting the world for good. Driven by purpose and fueled by a spirit of innovation, QTS designs, builds and operates some of the world's most advanced, forward-thinking data centers. QTS is a portfolio company of Blackstone. QTS is Powered by People. People who play a vital role in our company's culture, innovation and growth. People who are committed to contributing to the communities where we operate and work. People who are knowledgeable, resourceful and mission driven. Together, we do great things. Who You Are & the Impact You Will Have: The Quality Assurance Sr. Project Manager (QAM, Data Center Construction), is primarily responsible for leading the development and implementation of project specific quality programs in alignment with the QTS Quality Assurance Program. The QAM (Data Center Construction) will interact with project teams, including trade partners and vendors, to ensure adequate control measures are performed and produce the expected outcomes, and lead the corrective action when found otherwise. What You Will Do: Manage the quality assurance programs on one or more projects. Train, manage, assist, and hold accountable other project-specific quality personnel, when applicable. Provide training to project teams, including trade partners and vendors, on quality expectations. Monitor and proactively recommend continuous improvement opportunities at the project level. Document and communicate updates for assigned project(s) to the Development Quality Team on a bi-weekly basis. Lead/Participate in project quality meetings to ensure adequacy of topics and participation. Monitor project inspection and testing requirements and results. Perform weekly jobsite walks with the General Contractor. Periodically review project Quality Observation Reports for data integrity and follow up with teams for corrective actions when found to be deficient. Understand and communicate the Key Performance Indicators (KPI's) expectations. Lead/Participate in root cause analyses when a nonconformance issue meets prescribed criteria. Work alongside MEP Team to understand expectations and improvement opportunities during commissioning activities. Participate in vendor/supplier factory tests, inspections, and audits. Establish and maintain relationships serving as liaison with key QTS stakeholders. Represent QTS interests as a leader in OAC Meetings. Encourage vocal and visible recognition for quality successes. Be a leading voice for INTEGRITY within the quality program to promote open and productive communication between all stakeholders. Actively participate in internal QTS Quality improvement opportunities. What You Will Need to be Successful (basic qualifications): 5+ years of construction experience 2+ years of quality related management experience, including plan development, training, implementation, and continuous improvement. Experience in Microsoft Office suite, specifically PowerPoint for presentation development and Excel for data compilation and analysis. Be able to travel up to 50% of the time. US Citizenship for this position is required by law due to federal customer contracts. Other Key Skills: Experience with Procore and PowerBI American Society for Quality (ASQ) certified CMQ/OE, CQIA, CQPA, CQE, and/or CQA Experience with delivery of mission critical data center facilities. Experience working with MEP trades. Strong communication and written skills Able to work effectively in a team environment. Able to identify and communicate trends Demonstrated ability to prioritize, set, and meet targets Self-motivated with a proven ability to achieve results Ability to manage multiple concurrent projects and priorities The Perks (and these are just a few!): Q-Rest Sabbatical Employee Stock Purchase Plan QTS scholarship for dependents Eagle Club Award Trip Eligibility Paid Volunteer and Floating days Tuition Assistance, Parental Leave and Military Leave Assistance We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim. The "Know Your Rights" Poster is included here: Know Your Rights (English) Know Your Rights (Spanish) The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster-Formatted QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

Posted 30+ days ago

GoGuardian logo

Data Engineer II

GoGuardianEl Segundo, CA

$130,000 - $140,000 / year

The Role We're looking for a Data Engineer II to help design, build, and continuously improve the GoGuardian Analytics and AI/ML ecosystem. This position sits on the Data Engineering team, a group responsible for building and maintaining the core data platform that powers analytics, product insights, and machine learning across the company. You'll collaborate closely with Data Science, Business Intelligence, and other teams to enable the next generation of data-driven products and AI capabilities. The ideal candidate combines strong software engineering and data architecture skills with curiosity about machine learning systems and a drive to automate, optimize, and scale data workflows. What You'll Do Design, build, and optimize ETL pipelines that power analytics, data science, and ML workflows using tools such as Databricks, PySpark, and Airflow. Develop and maintain labeling and retraining pipelines for machine learning models, ensuring quality, reproducibility, and observability. Implement and support MLOps practices, including model versioning, CI/CD for ML, and model monitoring in production environments. Collaborate with data scientists to productionize and scale model training, inference, and evaluation pipelines. Contribute to the design and evolution of the data lakehouse, including schema design, partitioning strategies, and performance optimization. Document and communicate data architecture, lineage, and dependencies to ensure transparency and maintainability across teams. Champion data quality and governance, ensuring that datasets are accurate, well-structured, and compliant with organizational standards. Leverage infrastructure-as-code and containerization to build reproducible, maintainable environments. Participate in code reviews and continuous improvement of engineering best practices within the team. Who You Are Bachelor's degree in Computer Science, Engineering, or related field. 2-4 years of experience building and operating large-scale data systems, ideally supporting analytics and ML workloads. Proficiency in Python and SQL, with experience in PySpark, pandas, or similar data processing frameworks. Experience with DBT Experience with modern data warehousing and lakehouse platforms, preferably Databricks. Hands-on experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Strong understanding of data modeling, ETL design, and distributed data systems. Experience with AWS data and compute services (S3, Lambda, ECS, CloudWatch, etc.) or equivalent cloud platforms. Familiarity with MLOps concepts (e.g., feature stores, model registries, CI/CD for ML). Experience using Infrastructure as Code, preferably Terraform. Excellent problem-solving, collaboration, and communication skills; comfortable working in a dynamic, fast-paced environment. What We Offer Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan. Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break. A robust catalog of benefits that support your professional growth and personal wellbeing, including work from home funds, fertility & adoption reimbursement, and more… Plus the intangible: A varied and challenging role in an innovative, global company. Supportive, driven colleagues who have your back and share your passion. The typical base salary range for this position is $130,000 - $140,000 per year. The range displayed on this job posting reflects the minimum and maximum target for new hire base pay for this position and your pay will be determined by a variety of factors, including your primary work location, skills, qualifications and experience. Additional benefits information is listed on our careers page.

Posted 30+ days ago

DPR Construction logo

Sr. Data Scientist

DPR ConstructionTampa, FL
Job Description DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 7+ years of experience in data science roles within AEC, product or technology organizations. At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). Solid understanding of statistical methods, predictive modeling, and optimization techniques. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proven experience designing and interpreting experiments and making statistically sound recommendations. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. Hands-on experience with Generative AI tools and libraries. Background in experimentation infrastructure or human-AI interaction systems. Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Posted 30+ days ago

Equinix, Inc. logo

Customer Support Data Center Technician - Cohort Hiring Q1' 2026 - Military Talent Programs

Equinix, Inc.El Segundo, CA

$53,000 - $96,000 / year

Who are we? Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Joining our operations team means being at the center of everything - maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Position Summary Equinix Emerging Talent, Military Program providing service members with transition assistance to the civilian workforce. This is part of the DoD SkillBridge Program, offering transitioning service members hands-on experience in Equinix's data center operations. Interns will support routine and semi-routine tasks related to customer installations, infrastructure maintenance, and service delivery within the IBX (International Business Exchange) data centers. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. Please note: This program is exclusively for Military Spouse Fellows or Active-duty U.S. military personnel transitioning out of the military to civilian workforce. Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Key Responsibilities Ticketing & Troubleshooting Manage and resolve customer support requests and service tickets Accurately track tasks using the ticketing system Troubleshoot network and equipment issues; escalate when necessary Collaborate with cross-functional teams to resolve technical challenges Hardware Installations Perform "rack and stack" installations of customer equipment Follow detailed installation plans and wiring diagrams Install structured cabling (fiber and copper), cable trays, cages, and cabinets Identify and report infrastructure capacity or cabling concerns Testing & Quality Checks Conduct layer 1-3 connectivity tests (e.g., network cables, fiber optics) Perform quality checks on own and team installations Maintain detailed documentation of all work performed Customer Interaction Provide professional, helpful on-site customer support Communicate clear timelines and progress updates Escort customers and vendors for access and safety compliance Team & Project Support Contribute to team projects and installations Coordinate with vendors and internal teams to ensure timely execution Support dispatching, inventory checks, and alarm escalations as needed Learning Objectives Deepen technical expertise in data center infrastructure and operations Gain experience in structured cabling, network testing, and troubleshooting Enhance customer service and communication skills in a technical environment Understand project coordination and cross-functional collaboration Qualifications Active-duty military member or Military Spouse approved for SkillBridge or MSCAP participation Technical or Non-Technical MOS, NEC, or AFSC High school diploma or equivalent 2-4 years of experience in technical support, IT, telecom, or data center operations Ability to read wiring schematics and installation plans Experience with fiber and coaxial terminations preferred Strong attention to detail and documentation skills Comfortable working in a physical, hands-on environment Training & Evaluation Interns will follow a customized Education/Training Plan Monthly evaluations will be conducted by the supervisor Final evaluation will assess learning outcomes and program effectiveness The targeted pay range for this position in the following location is / locations are: United States- DA11 Dallas : 53,000 - 79,000 USD / Annual United States- AT1 Atlanta : 53,000 - 79,000 USD / Annual United States- MI1 Miami : 53,000 - 79,000 USD / Annual United States- SV12 Silicon Valley : 64,000 - 96,000 USD / Annual United States- LA4 Los Angeles : 58,000 - 88,000 USD / Annual United States- CH4 Chicago : 58,000 - 88,000 USD / Annual United States- NY3 New York City : 58,000 - 88,000 USD / Annual United States- DE2 Denver : 53,000 - 79,000 USD / Annual United States- SE3 Seattle : 58,000 - 88,000 USD / Annual United States- DC12 Washington DC : 58,000 - 88,000 USD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.- Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.- Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Posted 30+ days ago

MasterCard logo

Senior Counsel, Privacy, AI And Data Responsibility

MasterCardBoston, MA

$177,000 - $325,000 / year

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Counsel, Privacy, AI and Data Responsibility Overview The Privacy, AI and Data Responsibility (PAIR) team is looking for a Senior Counsel to support the Consumer Acquisition & Engagement business line within Mastercard Services in North American markets. This Senior Counsel would join a team of other PAIR attorneys supporting the global Mastercard Services organization, advising global product teams through privacy by design, and acting as a PAIR subject matter expert within the broader Law Department. The ideal candidate is passionate about privacy and AI, highly motivated, intellectually curious, analytical, and possesses a collaborative mindset. Role Act as North America (NAM) senior PAIR counsel for all Consumer Acquisition & Engagement (CA&E) products and services, including (1) loyalty, offers and rewards (Loyalty), (2) personalization and (3) B2B marketing services. Act as global PAIR lead supporting business and legal stakeholders for Privacy by Design reviews of new features of Mastercard's Loyalty programs supporting both issuers and merchants. Support synergies between CA&E products and other Mastercard services while: (i) ensuring compliance with corporate standards and privacy and data protection laws including GDPR, GLBA, HIPAA and CCPA, and (ii) coordinating with regional counsel to ensure compliance with other laws. Draft and negotiate data processing terms and agreements with vendors and customers, including in relation to international data transfers, consent and notice representations and other liabilities. Identify business and product requirements resulting from new and evolving privacy laws and regulations and provide guidance and thought leadership on topics relevant to the Services organization, including but not limited to cookie regulations, anonymization standards, consumer protection, and artificial intelligence. Educate the business on legal developments and controls for the further development of products and services within the Services organization and CA&E. Document and update a range of stakeholders including executives on identified privacy compliance gaps and recommended remedial measures. Advise other global PAIR team members on privacy and data-related legal requirements specific to North American jurisdictions as part of our team collaboration to support a global business. All About You JD from an accredited law school and admitted to at least one bar in the United States. Expertise in global privacy and data regulatory laws and frameworks and familiarity with the GDPR, GLBA, HIPAA, CCPA and privacy principles that are common across global laws and regulations. Demonstrated experience in relevant technologies including payments technology, cookies, and artificial intelligence, and familiarity with ethical frameworks, data governance, and accountability. Familiarity with emerging technologies and associated privacy implications. Because of the integral nature of data to CA&E's products and services, demonstrated familiarity with marketing technologies, data flows, and the principles of data analytics is strongly preferred. Strong analytic capabilities and written and oral communication skills. Exceptional interpersonal skills with proven experience in relationship building and partnering with legal, business, and technical colleagues. Ability to motivate and influence highly-skilled professionals to achieve major organizational goals. Familiarity with Privacy by Design methodologies. Strong writing skills and ability to simplify technical material for other audiences, including business teams, legal departments, and regulators. Ability and interest in developing a deep understanding of Mastercard products and services, as well as financial services in general. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Purchase, New York: $204,000 - $325,000 USD Atlanta, Georgia: $177,000 - $283,000 USD Boston, Massachusetts: $204,000 - $325,000 USD Miami, Florida: $177,000 - $283,000 USD

Posted 3 weeks ago

Serko logo

Senior Data Scientist

SerkoSeattle, WA
Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we're hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. Requirements We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers. We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else. What you'll do Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business. Build and implement models within AI-agentic environments that drive product performance - including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer). Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar. Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs. Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes. Identify and tackle opportunities and risks across the business that can be addressed through data. Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms. Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation. What you'll bring Proven record of building and implementing models at velocity to drive tangible business outcomes. Expertise in machine learning, applied statistics, and modern AI/ML techniques. Strong grasp of experimentation frameworks and designing for scalability and maintainability in production. Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences. Deep understanding of product development cycles and how data science integrates into product decisions. Experience mentoring or leading a data science team. Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines. Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity. Benefits At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: A competitive base pay Medical Benefits Discretionary incentive plan based on individual and company performance Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways Flexible work policy

Posted 2 weeks ago

PwC logo

AI & Genai Data Scientist-Senior Associate

PwCSpartanburg, SC

$77,000 - $202,000 / year

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 3 weeks ago

Lyft logo

Senior Data Scientist, Decisions - Central Market Management

LyftNew York, NY

$148,000 - $185,000 / year

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges-from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Senior Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You'll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets Be proactive in pursuing opportunities and have a true ownership mindset to get things done Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable Experience Bachelor's, Master's, or PhD in a quantitative field such as Statistics, Economics, Computer Science, Engineering, Applied Mathematics, or related discipline; or equivalent practical experience. 5+ years of industry experience in decision science, analytics, statistics, or data science, with a track record of influencing strategy and business outcomes through data. Demonstrated ability to independently own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration. Expertise in metric design, diagnostic analysis, forecasting, behavioral analytics, decision frameworks and measurement strategy. Strong proficiency in SQL, Python, and tools for data manipulation, statistical modeling, visualization, and reproducible pipelines. Ability to translate complex analytical insights into clear, actionable recommendations for both technical and executive audiences. Proven success driving alignment and influencing cross-functional teams in fast-paced, ambiguous, high-stakes environments. Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs. Demonstrated impact as a peer mentor, reviewer, and thought partner, elevating the quality of work across teams. Experience working with financial data is a plus. Experience building and scaling monitoring systems and business health dashboards that identify anomalies, trends, and opportunities. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Posted 2 weeks ago

Zynga, Inc. logo

Data Analyst - Words With Friends

Zynga, Inc.Austin, TX

$85,700 - $126,860 / year

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille, Words With Friends, Zynga Poker, Game of Thrones Slots Casino, Wizard of Oz Slots, Hit it Rich! Slots, Wonka Slots, Top Eleven, Toon Blast, Empires & Puzzles, Merge Dragons!, CSR Racing, Harry Potter: Puzzles & Spells, Match Factory, and Color Block Jam-plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position overview The Game Words with Friends is an iconic and beloved multiplayer word game that has captivated millions of players worldwide. As a part of our team, you'll contribute to a game that not only entertains but also educates and connects people across the globe. If you're passionate about creating interactive entertainment that brings people together, Words with Friends offers an unparalleled opportunity to be part of a popular brand in mobile gaming! At Words with Friends, analytics plays a crucial role. We inform decision-making and personalize player experience leveraging data and ML-powered solutions in our game. Whether you are assisting the experiment setup that unlocks features to the right people at the right time, analyzing a new feature's impact in our economy ecosystem, or fine-tuning our intelligent matchmaking system, your work will have a direct impact on the user experience! Join us if you enjoy solving interesting and challenging problems! What You'll Do: Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards. Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence. Design game telemetry to capture meaningful player interaction data to improve the game experience. Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements. Actively play and engage with our games to maintain first-hand understanding of player experience, game mechanics, and potential pain points. Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on the team. Participate in the Analytics Org's AI initiative, which aims to significantly increase each analyst's impact through the power of LLMs Continuously learn about analytics best practices, and actively share and promote these practices across various games and teams. What You Bring: Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Masters or PhD) are a plus. Minimum of 2 years in data science or analytics roles. Proficiency in SQL, and comfortable with Python Demonstrated experience in data analysis, data visualization, statistical analysis, and machine learning. Familiarity with Business Intelligence (BI) tools like Tableau and version control systems such as Git is advantageous. Strong ability in both written and oral communication. Highly self-motivated with a keen interest in problem-solving. Willingness to take ownership of challenges. Proven ability to work collaboratively as part of a team. Familiarity with mobile games What We Offer You: Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site The pay range for this position in California at the start of employment is expected to be between $85,700 and $126,860 per Year. The pay range for this position in Illinois at the start of employment is expected to be between $77,000 and $114,120 per Year. The pay range for this position in Ontario at the start of employment is expected to be between $71,400 and $105,660 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga's in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

Posted 30+ days ago

CACI International Inc. logo

Data Analyst - Federal Operations

CACI International Inc.Washington, DC

$49,900 - $100,000 / year

Job Title: Data Analyst - Federal Operations Job Category: Logistics Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 25% Type of Travel: Continental US The Opportunity: CACI is seeking a Data Analyst to support a high-visibility transformation initiative with our Department of Energy (DOE) client. In this role, you'll contribute directly to reimagining how a major federal agency manages procurement - enhancing operational efficiency, reducing lead times, and equipping field teams with the tools they need to succeed. You won't just analyze numbers - you'll help shape smarter decisions that drive real-world outcomes. As part of this long-term modernization effort, you'll be instrumental in helping the agency adopt standardized processes, deploy cost-effective analytics solutions, and increase overall program effectiveness. This is a unique opportunity to work at the heart of government innovation and bring data-driven insights to life. Responsibilities: Your daily work will focus on turning complex procurement and inventory data into actionable intelligence for key stakeholders. You'll collaborate with a team of mission-driven professionals to: Extract, transform, and cleanse procurement and retail inventory data to prepare it for deep analysis. Apply statistical techniques and forecasting models to uncover trends and patterns in historical data. Build user-friendly dashboards, databases, and reports that guide data-driven decisions across programs. Support the development of scalable data models that enhance reporting and analytical performance. Help bring clarity to complexity - translating data into stories that inform action Qualifications: Required: One (1+) years of experience in data analytics. Active security clearance: DoD Top Secret/Secret or DOE Q or L. Strong Excel skills, including use of pivot tables, data extraction, and the Data Analysis Toolpak. Experience building dashboards that manage large datasets and multiple parameters. Experience developing data-driven performance reporting tools by integrating multiple sources into a comprehensive output. Excellent attention to detail and accuracy in working with data Desired: Bachelor's degree or higher in a related field such as Business Analytics, Statistics, Operations Research, or Mathematics. Familiarity with federal procurement, acquisition, or inventory management. Ability to communicate complex data concepts clearly to non-technical audiences. Experience with SQL, Python, R, JSON, DAX, or other data programming tools. Proficiency with data visualization platforms such as Tableau or Power BI #LI-TF1 _ ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. _ ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $49,900 - $100,000 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Posted 30+ days ago

PwC logo

Cloud Data & Analytics Strategy Senior Associate (Insurance)

PwCPhiladelphia, PA

$77,000 - $202,000 / year

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Job Description

Industry/Sector

Insurance

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:

4 year(s)

Preferred Qualifications:

Certification(s) Preferred:

Certification in one of the following cloud platforms- AWS/Azure/GCP

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or success in one or many of the following areas:

  • Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;
  • Defining data management and data/analytics governance strategy and align data initiatives with organizational goals;
  • Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;
  • Delivering strategy and transformation projects;
  • Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP;
  • Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
  • Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
  • Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse;
  • Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
  • Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
  • Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
  • Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;
  • Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
  • Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.);
  • Understanding of insurance data, underlying KPIs and how they are used; and,
  • Demonstrating prior P&C/L&A Insurance industry experience.

Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
  • Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
  • Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;
  • Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
  • Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
  • Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance.

Travel Requirements

Up to 80%

Job Posting End Date

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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