Auto-apply to these data science jobs

Description Summary: The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington’s journey to being a data driven organization. The Data Risk Lead will help develop current team members while serving as a technical leader with expertise in the development, implementation, and management of our Data Governance framework. Data Risk Lead support enterprise data government capabilities and partner across the bank assisting in the team’s work on data sharing agreements (drafting, reviewing and processing, monitoring, and close-out), developing documentation of policies and processes related to data sharing and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, and leading and documenting meetings with stakeholders across the agency involved in the process.​ Responsibilities Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Gather requirements and stakeholder input to draft, update, and manage data management policies, standards, and procedures. Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Support federated teams on the work necessary to meet policy requirements. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Take a lead role in capturing requirements and document processes, including the ability to act as a trusted advisor to our stakeholders. Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Track and monitor the implementation of data controls across the organization Provide leadership, coaching, and mentoring to team members while serving as a role model. Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs. Anticipate and analyze trends in technology while assessing emerging technology and risk impact to the Data Governance Perform other duties as assigned Basic Qualifications Bachelor's Degree or equivalent relevant work experience below. 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications In-depth knowledge of governance policy, standards, and controls processes Experience tracking data policies, standards, and controls throughout the lifecycle (including monitoring, enforcement, and close-out), and facilitating and documenting meetings with internal and external stakeholders at all levels Strong critical thinking and creative problem-solving skills Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Experience within Data Governance with influencing the overall direction of data policies, standards, and controls, and data lifecycle management Ability to translate business and functional needs into policy, standards, and controls requirements, and estimate their impact across the data lifecycle Ability to build strong relationships throughout the organization Ability to constructively challenge requirements and current state to increase overall value to the organization Ability to effectively drive requirements and gain consensus Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Excellent written and verbal communication skills Experience leading project teams, with or without formal direct reporting relationships Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change High level of organization and attention to detail Risk management, regulatory, compliance, and/or audit experience is a plus Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

We are a forward-thinking financial services organization, committed to delivering innovative digital solutions. Our data-driven approach powers our digital products, and we are establishing a shared data products organization to enhance our data platform capabilities and provide actionable insights into digital behaviors and performance. We are seeking an experienced Associate Director of Data Products to lead our shared data products organization within the digital product division. In this leadership role, you will oversee a team of data analysts and managers, driving the vision and execution of a scalable data platform and building digital data products that provide key insights into product performance and user behavior. You will collaborate closely with engineering and product teams to ensure that data products align with business objectives and contribute to the company’s overall digital strategy. This role is Hybrid. You should be located within a commutable distance to one of our offices located in Baltimore MD, Charlotte NC, Wilmington DE, or Dallas/Fort Worth TX. Target base salary range is $140k - $170k which is based on various factors including skills, work experience, and location. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance Key Responsibilities: Lead and Manage the Team : Oversee a team of data analysts and data product managers, ensuring they are empowered to deliver on the organization’s data vision. Provide leadership, mentorship, and development opportunities. Define and Execute Data Strategy : Set the vision and roadmap for the shared data platform, ensuring it supports the needs of the business and digital product teams. Align data product initiatives with broader digital strategies. Collaborate with Data Engineering Teams : Partner with data engineering teams to translate business needs into technical requirements for a scalable, secure data platform. Oversee platform enhancements and ensure alignment with best practices in data management, governance, and security. Develop Data Analytics Products: Lead the development of analytics products that provide visibility into user behaviors, product performance, and key business metrics. Drive the adoption of these products across the digital organization. Promote Data-Driven Decision Making : Partner with cross-functional teams to identify opportunities for using data insights to enhance digital product performance, improve customer experiences, and drive business outcomes. Implement Best Practices : Establish and maintain best practices for data governance, data quality, and compliance with financial services regulations. Stakeholder Management : Engage with senior leaders and key stakeholders to communicate progress, address challenges, and align on strategic priorities for data initiatives. Product Lifecycle Management : Oversee the lifecycle of data products from ideation to execution, ensuring that they meet business goals and deliver value. Qualifications: 7+ years of experience in data product management, data analytics, or a similar role, with at least 3 years in a leadership or management position. Proven experience in building and scaling data platforms and delivering complex data products in a financial services or digital product environment. Expertise in digital, customer journey, and cross-channel analytics Expertise in modern data platforms, cloud-based technologies (Snowflake, AWS, Azure, GCP), and data tools such as data lakes, ETL pipelines, and data warehouses. Demonstrated ability to lead teams, with experience managing managers and mentoring data professionals. Strong analytical skills with experience interpreting large datasets to inform business decisions and product strategies. Excellent communication skills with a proven ability to influence stakeholders, including senior leadership. Familiarity with Agile development methodologies and working in a fast-paced product development environment. Knowledge of data governance, financial services regulations, and compliance best practices. Experience with digital analytics platforms (e.g., Heap, Google Analytics, Adobe Analytics) and visualization tools (e.g., Tableau, Power BI). Preferred Skills: Master’s degree in business, data science, or a related field is a plus. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: Health and wellbeing options for team members and their dependents Up to 4% matching 401(k) Employee Stock Purchase Plan (10% share discount) Tuition reimbursement Continuing education Bonus eligible Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date) Paid holidays (7 days per year, based on start date) Paid volunteer time (3 days per year, prorated based on start date) And more OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. As a Data Scientist, Data Strategy, you will be pivotal in transforming data into actionable insights that drive business strategies and decision-making, making this a unique and exciting opportunity. Key Responsibilities Data Collection and Analysis: Gather data from various sources, using statistical methods and visualization tools to identify trends and insights. Model Development: Develop predictive models using machine learning algorithms to solve business problems. Select appropriate modeling techniques based on data characteristics and business objectives. Strategy Support and Development: Help craft data-driven strategies that align with business objectives, providing insights to support strategic decision-making. Data Quality and Governance: Maintain data accuracy and reliability, working with governance teams to uphold high-quality standards and compliance. Stakeholder Collaboration: Lead conversations with cross-functional stakeholders to understand data needs, translate them into analytical solutions, and foster effective communication. Tool and Technology Utilization: Leverage advanced analytics tools for data analysis and visualization, stay updated on emerging technologies, and provide training to teams. Performance Measurement and Optimization : Develop and track KPIs, analyze performance data, and suggest improvements to enhance business outcomes. Research and Innovation: Explore new data sources and techniques, proposing innovative solutions to leverage data for competitive advantage. Legal and Compliance: Ensure adherence to data protection regulations, identifying risks, and suggesting mitigation strategies. Communication and Problem Solving: Translate complex findings into actionable insights for stakeholders, using strategic thinking to address business challenges and opportunities. Your ability to communicate effectively and solve complex problems will be highly valued in this role. This role requires a balance of strategic data oversight and technical proficiency to ensure data initiatives are aligned with business goals and are effectively executed across the organization. Minimum Requirement Degree or equivalent and typically requires 4+ years of relevant experience. Education Bachelor’s degree in a quantitative field like Statistics, Mathematics, Computer Science, Data Science, or Economics is preferred. Critical Skills Must have 4+ years of work experience in data analysis, visualization, and/or supporting healthcare information systems. Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling. Experience with business intelligence platforms like Power BI, Looker or ThoughtSpot Strong knowledge of advanced SQL and relational databases. e.g, Snowflake. Familiarity with Azure Cloud Architecture and Databricks Lakehouse architecture. Familiarity with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or Keras. Solid understanding of statistical and predictive modeling techniques. Experience in developing and validating predictive models. Ability to analyze complex datasets and derive actionable insights. Experience in applying advanced analytics in a business context to solve complex problems. Understanding of business operations and the ability to translate analytical findings into business strategies. Strong critical thinking and problem-solving abilities to tackle complex analytical challenges. Excellent communication and presentation skills. Ability to work collaboratively in a team environment. A proactive approach to staying updated on the latest trends and advancements in data analytics and machine learning. Physical Requirements General office demands Must have the ability to travel up to 10% of the time Candidates must be authorized to work in the USA. Sponsorship is not available for this role. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $109,900 - $183,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Transparent Partners is an independent consultancy that specializes in enhancing customer experiences through a marketing lens. Our goal is to identify the unique mix of data, technology and operational processes that will empower brands to thrive in the ever changing marketing landscape. Practice Overview The Data and Analytics (D&A) Practice primarily focuses on projects related to customer data strategy, management, analytics, and measurement. The D&A team is responsible for designing, implementing, and operationalizing capabilities for collecting, analyzing, and interpreting data to provide insights that help inform business decisions. The D&A team helps companies identify opportunities for growth, optimization, and improvement to customer experiences. Position Overview We are seeking a highly driven, entrepreneurial marketing analytics and data strategy analyst to support delivering data, measurement, analytic, and technology solutions. Role includes understanding current client needs, identifying solutions, organizing a strategy around customer outcomes and delivering value back to our clients. As a key contributor for Data & Analytics (D&A) within Transparent, the Analyst must stay on top of the bleeding edge of marketing measurement, data strategy, technology & analytics including emerging capabilities that will allow our customers to support the next generation of the marketing function. The role will work collaboratively with our Accounts team and Technology team to integrate the D&A elements into overall deliverables. Position Qualifications 4-year college degree in related field: MBA a plus. Education or experience leading, managing and implementing strategies to gain business value from data. Education or experience with configuration and implementation of marketing technologies and analytics tools. Understand the capabilities of Customer Data Platforms and related data-centric marketing technologies. Ability to take initiative and work in collaboration with internal team as well as external partners Ability to quickly identify and understand broad business issues as well as the immediate urgencies that help shape the direction of strategic marketing initiatives Strong communication skills – must be able to clearly articulate our approach and strategic recommendations. Ability to communicate complex topics in writing and verbally with audiences of varying understanding and backgrounds. Must have a consultative approach to solving complex challenges to deliver on measurable business results Technical education, familiarity or competency in data analysis and visualization tools such as SQL, Python, Tableau, Data Studio, Microsoft Azure, Databricks, Microsoft Fabric , and related tools Responsibility: Data Analysis & Strategic Thinking Collect and document key functional requirements to achieve expected deliverables defined in project scope. Assess the current state of client measurement, data, technology and analytics ecosystem. Evaluate data platforms, identify opportunities to create new systems and analytics to drive ROI. Formulate findings into client deliverables with analysis and meaningful implications. Build a gap analysis that outlines opportunities that exist and recommend a path towards a solution, including continuation of services over time. Responsibility: Deliverable Build Understand client needs to guide towards client deliverables Contributes to deliverable creation and may own portions of content-building Responsibility: Client Relationship Management Play a client-service role by partnering with clients to become a trusted advisor, manage and exceed client expectations, and present findings to clients. Responsibility: Organizational Development Help maintain, inform and improve upon internal process flows and governance Develop a deep level of trust across internal disciplines and contributing to the success of the work stream delivery Play an active role in supporting advancement of Transparent internal goals to educate and advance our collective expertise Contribute to Transparent’s branding and awareness efforts through content creation, social marketing and event participation Benefits Competitive salary + bonus opportunities Health, dental, and vision coverage 401k with match Fully-remote or hybrid work environment $50,000 - $80,000 a year The final compensation within this range will be determined based on a comprehensive evaluation of the candidate’s relevant professional experience, educational background, skill set, and overall alignment with the responsibilities and requirements of the role. Candidates who demonstrate significant experience, specialized expertise, or exceptional qualifications may be considered for compensation at the higher end of the range. A senior prefix may be applied if an individual has demonstrated ability to: Team Manager | Effectively manage other team members by delegating work as appropriate, providing constructive feedback routinely, and creating targeted opportunities for professional development Account Strategy | Ability to develop and execute against strategic account plans to strengthen our client partnerships and grow business relationships Growth Management | Contribute to business growth and development by establishing relationships through trust and integrity, proactively surfacing gaps, and identifying opportunities Decision Maker | Identify priorities, how to create head space and teaching others how to best manage their own time and utilize their geniuses to drive great work outputs and client relationships Thought Leadership | Deliver value to the Transparent organization by applying learnings from continued education and training programs that directly improve our ways of working, processes and procedures Concurrent Responsibilities | Successfully manage project plans for various work streams across multiple accounts at a time Our people and culture At Transparent our goal is to promote an inclusive, equitable, and diverse environment to foster a sense of belonging. We believe that creating an inclusive environment is paramount in driving innovation, creativity and value for our clients and our people. All applications will receive consideration for employment without regard to ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, or social background. Transparent Media Partners, LLC is an Equal Opportunity employer. Personnel are chosen on the basis of ability without regard to race, color, religion, sex, national origin, disability, marital status or sexual orientation, in accordance with federal and state law. If there are any further questions, please contact: careers @transparent.partners

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.

About us: Navaide: Catalysts for a Stronger Tomorrow: At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities. Position: Data / Information Architect – Navy Data Model | MDM | Ontology About the Role: As a Data / Information Architect at Navaide, you will shape the foundation of secure, interoperable, and mission-aligned data architectures for federal clients—especially within the defense ecosystem. You will ensure that enterprise data solutions align with Navy data models, ontologies, and master data management (MDM) principles to support transparency, integration, and readiness across operational systems. How you will Make an Impact: You'll work at the intersection of enterprise architecture, data governance, and semantic modeling to help define the future of defense data interoperability and enable secure data sharing across platforms and mission sets. Relevant Skills and Experience: 7+ years of experience in enterprise data architecture, modeling, or information systems Deep understanding of DoD and Navy data models, especially DON Data Strategy, Navy Logical Data Model (NLDM), or NAVWAR data architecture Hands-on experience implementing Master Data Management (MDM) frameworks across large enterprises Knowledge of ontologies, taxonomies, and semantic data modeling Familiarity with UML, ER modeling, and standards such as RDF, OWL, or SKOS Experience with enterprise data dictionaries, metadata management, and data stewardship Strong collaboration skills with system architects, data governance leads, and business stakeholders Duties & Responsibilities: Align enterprise data models with Navy and DoD reference architectures and data standards Design and implement MDM solutions for shared data domains and consistent master records Develop and maintain ontologies, semantic models, and controlled vocabularies to enhance data interoperability Support data lineage, quality, and governance efforts across multiple programs and domains Work with solution architects and platform leads to embed data architecture into system design Document data architecture artifacts and provide training or advisory support for data governance councils Evaluate current data environments and provide modernization roadmaps to achieve semantic alignment and reusability Security Clearance: Must be eligible to receive a DoD security clearance Travel: Occasional travel may be required (<25%) Education: Bachelor's or Master's degree in Information Architecture, Data Science, Computer Science, or a related field. Equivalent experience may be considered in lieu of a degree. Why Navaide? Join a growing, fast-paced team solving meaningful challenges for the Department of Defense. For more about us, please check out the following links: About Navaide Other Opportunities Employee Benefits Connect with us on LinkedIn! Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Participation: E-Verify Participation Poster IER Right to Work Poster No third parties, please.

Overview: Job Description Summary: Organizes and analyzes complex or large data sets to develop insights and predictive models in support of research, operation, and clinical care at Nationwide Children’s Hospital. Job Description: Essential Functions: Collects and organizes large and complex sets of data from various sources. Leverages structured and unstructured data sets to create analytical solutions using statistical and predictive analysis, natural language processing, geospatial analysis, or machine learning techniques. Identifies patterns and trends in data to provide insights and recommendations. Communicates findings and results to stakeholders through reports and presentations. Collaborates with cross-functional teams to develop and improve data-driven solutions. Stays up-to-date with industry trends and advancements in data science techniques. Assists in the mentoring of less experienced staff. Education Requirement: Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline, required. Licensure Requirement: (not specified) Certifications: (not specified) Skills: Strong desire to learn and highly collaborative. Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts. Experience: Four years ofscripting language or software development experience using Python, R, MATLAB, or SAS etc., required. Four years of data manipulation and analysis using Python, R, MATLAB, or SAS etc., required. Four years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geospatial analytics, required. Some experience working with healthcare data, preferred. Physical Requirements: OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 21-40 lbs, Lifting / Carrying: 41-60 lbs, Squat/kneel, Standing, Walking FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting Additional Physical Requirements performed but not listed above: (not specified) "The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"

DealMaker is a fast-growing fintech company revolutionizing the capital markets ecosystem with a mission to make online capital raising mainstream. We empower founders, CEOs, and operators to raise capital digitally, both from their own communities and through strategically marketed campaigns. No other platform provides an end-to-end solution like ours—and our track record speaks for itself, with over $2B raised across 1,000+ campaigns. We power the largest online capital raises for customers like EnergyX ($88M), Green Bay Packers ($65M), Miso Robotics ($72M+), Monogram Orthopaedics (Nasdaq:MGRM) and many others, with 3 IPOs in the past year alone. We are quickly expanding our horizons and are seeking talented team members to join us on our journey to transform the global capital market. Who you are You are a pragmatic problem-solver with a strong bias for action, aligning perfectly with our "Prioritize Speed over Perfection" value. You're passionate about data's power to "Drive Outcomes" and are constantly seeking to "Push Your Limits" by learning and applying new technologies. When faced with complex data challenges, you "Find a Way" to deliver robust and innovative solutions. You're "Bold and Direct" in your technical recommendations and committed to "Innovating and Simplifying" our data landscape. Above all, you "Obsess over Customers," recognizing that reliable and accurate data is paramount to their success and ours. What you will do As a Staff Data Engineer, you will be instrumental in building the data backbone that powers DealMaker's analytics and AI capabilities. You'll play a pivotal role in enabling our data-driven growth, reporting directly to the VP of Data and AI. This is a critical Senior Individual Contributor role within a dynamic team of four, where your impact will be felt across every analytics and AI initiative at DealMaker. Your primary responsibilities will include: - Data Pipeline Development & Optimization: Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines to ingest, transform, and load data from various internal and external sources into our data warehouse/data lake. You will be critical in ensuring high data pipeline uptime (99% target) and reliability to support all analytics and AI initiatives. - Data Architecture & Modeling: Collaborate with stakeholders across product, engineering, and business teams to define and implement optimal data models and schemas that support both analytical reporting and sophisticated machine learning applications. - Data Quality & Governance: Implement and enforce stringent data quality checks, data validation rules, and data governance best practices to ensure the integrity, accuracy, and reliability of our data assets. Your work will directly contribute to maintaining high standards for data accuracy across key business metrics (+/- 5% target for Sales, Revenue, Shareholder Services, and OPSP). - MLOps Implementation: Transition machine learning models from development to production, implementing MLOps practices such as model versioning, deployment, monitoring, and retraining. - ML Model Development: Take an active part in the design, development, and validation of machine learning models, leveraging engineering best practices for code quality, scalability, and maintainability. - Automation for AI Initiatives: Develop automated data pipelines and processes to support and accelerate our AI initiatives, including automating deal forecasting updates (targeting 20% of deals) and achieving high forecast accuracy (<10% revenue variance). - Performance Tuning & Infrastructure: Proactively identify and resolve performance bottlenecks in data pipelines and queries, optimizing our data infrastructure for scalability and efficiency. - Collaboration & Mentorship: Provide technical guidance and mentorship to other team members, fostering a culture of excellence and continuous improvement. - Technology Evaluation & Adoption: Stay abreast of emerging data technologies, tools, and best practices in data engineering, data science, and MLOps, and recommend their adoption where beneficial. - Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and data governance procedures. What skills you need - Demonstrated years of experience in a Data Engineering role, with a proven track record of building and maintaining production-grade data pipelines. - Strong proficiency in SQL, Python, and experience with relational and/or NoSQL databases (e.g., PostgreSQL, Snowflake, Databricks, etc.). - Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and their respective data services (e.g., AWS S3, Glue, Redshift, Azure Data Factory, Google Cloud Dataflow/BigQuery), with a preference given to AWS experience. - Solid understanding of data warehousing concepts, data modeling (dimensional modeling, etc.), and ETL/ELT processes. - Working knowledge of machine learning fundamentals and experience collaborating with data scientists on model deployment and integration into production environments. - Experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, CI/CD pipelines for ML models). - Excellent problem-solving skills and the ability to troubleshoot complex data issues. - Strong communication and collaboration skills, with the ability to translate technical concepts for non-technical audiences. - A proactive, self-starter attitude with a desire to learn and grow in a fast-paced environment. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. Bonus Points - Experience with real-time data streaming technologies (e.g., Apache Kafka, Kinesis). - Prior experience in the FinTech or financial services industry. - Contributions to open-source projects in data engineering or MLOps. Founded in 2018 by leading capital markets lawyers, DealMaker has blazed its own trail as the leading online capital-raising platform. As a Series A tech startup, we are well-capitalized, firmly established in our market, and ready to scale. Here’s why you should want to join us: -Competitive compensation with the opportunity to earn equity—get into a growth company on the ground floor -A diverse & distributed team of doers, innovators, and experts -Shared employee benefit plan (medical, vision, & dental) -Strong autonomy with support from leadership -Annual learning support And more! Equal Employment Opportunity DealMaker does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws. Please inform us if you require any accommodation, and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Your impact on our mission We are looking for a Staff Data Engineer (SDE) to join our Data Engineering team! In this role, you will design, build, and optimize scalable data systems that empower decision-making and innovation at Zocdoc. You'll collaborate with cross-functional teams to manage data pipelines, strengthen governance, and improve the tools and processes that help data producers and consumers work together effectively. This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company. You'll focus on the underlying infrastructure that supports analytics, experimentation, and machine learning-ensuring it runs efficiently, securely, and cost-effectively to improve the healthcare experience for patients and providers. You'll enjoy this role if you are… Passionate about the inner workings of data platforms and infrastructure Excited to tackle both technical and strategic challenges to build reliable, scalable systems Motivated to create high-leverage tools that power analytics and data science Energized by the opportunity to build tools and processes that directly improve patient and provider experiences through better data Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions Your day to day is… Designing and maintaining scalable data pipelines for ingestion, transformation, and delivery across multiple data sources Collaborating with Analytics Engineers and Product teams to curate datasets and establish data contracts that improve transparency and reliability Developing and managing modern data architectures, such as lakehouses and medallion layers, using tools like Databricks, Delta Lake, or Iceberg Optimizing Snowflake usage and performance, ensuring data quality and cost efficiency Supporting and scaling orchestration platforms (like Dagster), metadata systems (like Unity Catalog or Collibra), and monitoring tools (like Datadog) Collaborating with data engineering, analytics engineering, and security teams to deliver stable and efficient infrastructure for diverse workflows Building tools, alerting systems, and documentation that ensure reliable operation and developer self-service across our data stack You'll be successful in this role if you have… 5+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems Expertise in Python or Scala, and strong proficiency in SQL for data modeling and optimization Deep experience with data warehouse technologies like Snowflake, including clustering, performance tuning, query profiling, and access management Experience with data lake and lakehouse architectures such as Databricks, Delta Lake, Iceberg, or Apache Hudi, and query engines like Athena or Presto Proven ability to design and implement scalable ETL pipelines using technologies like dbt for transformation and Databricks for large-scale processing Familiarity with managing infrastructure-as-code, job orchestration (Dagster, Airflow), and CI/CD workflows A proactive mindset and strong problem-solving skills, especially when troubleshooting complex infrastructure issues Excellent collaboration and communication skills to support cross-functional teams and data consumers Bonus if you have… Experience implementing row-level security and data masking for PHI/PII use cases Exposure to governance tools (e.g., Collibra, Amplitude, Looker admin, Unity Catalog) Familiarity with AWS services, especially for storage and compute cost optimization Benefits: Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness programs with Headspace and Peloton Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch everyday along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Description Summary: The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead will help develop current team members while serving as a technical leader with expertise in the development, implementation, and management of our Data Governance framework. Data Risk Lead support enterprise data government capabilities and partner across the bank assisting in the team's work on data sharing agreements (drafting, reviewing and processing, monitoring, and close-out), developing documentation of policies and processes related to data sharing and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, and leading and documenting meetings with stakeholders across the agency involved in the process. Responsibilities Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Gather requirements and stakeholder input to draft, update, and manage data management policies, standards, and procedures. Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Support federated teams on the work necessary to meet policy requirements. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Take a lead role in capturing requirements and document processes, including the ability to act as a trusted advisor to our stakeholders. Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Track and monitor the implementation of data controls across the organization Provide leadership, coaching, and mentoring to team members while serving as a role model. Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs. Anticipate and analyze trends in technology while assessing emerging technology and risk impact to the Data Governance Perform other duties as assigned Basic Qualifications Bachelor's Degree or equivalent relevant work experience below. 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications In-depth knowledge of governance policy, standards, and controls processes Experience tracking data policies, standards, and controls throughout the lifecycle (including monitoring, enforcement, and close-out), and facilitating and documenting meetings with internal and external stakeholders at all levels Strong critical thinking and creative problem-solving skills Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Experience within Data Governance with influencing the overall direction of data policies, standards, and controls, and data lifecycle management Ability to translate business and functional needs into policy, standards, and controls requirements, and estimate their impact across the data lifecycle Ability to build strong relationships throughout the organization Ability to constructively challenge requirements and current state to increase overall value to the organization Ability to effectively drive requirements and gain consensus Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Excellent written and verbal communication skills Experience leading project teams, with or without formal direct reporting relationships Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change High level of organization and attention to detail Risk management, regulatory, compliance, and/or audit experience is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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. This is not the official job application; this posting is specifically for Equinix Pathways Military Program. Please note that this program is exclusively for Military Spouse Fellows or Active-duty US military personnel transitioning out of the military to civilian workforce. Equinix is the world's digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed. We are a fast-growing global company with 70+ consecutive quarters of growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of nearly 10,000 companies, including 1,800+ networks and 2,900+ cloud and IT service providers in over 26 countries spanning five continents. 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. We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities. The training will be on the cutting-edge of technology in a digital infrastructure environment supporting an initiative designed to link our nation's warfighters to the best employment opportunities available. Do you have a background in Electronics, Electrician, or HVAC and skilled Mechanical trades? This could be your next career move! In this DoD Skillbridge Program with Equinix, you will: Learn how your military experience translates into a rewarding civilian career Explore a career or industry you might want to pursue upon separation from active duty Earn real-world industry qualifications and certifications Build experience and competency in your trade/ profession with our team Expand your professional network of contacts Gain familiarity with corporate culture. Responsibilities Has a substantial understanding of the job while working on assignments that are moderately difficult requiring judgement in resolving issues or making recommendations. Focus is on moderately difficult tasks, using substantial understanding of standard operating procedure. Supports the overall team. Facility / Infrastructure Maintenance Performs moderately difficult preventative and corrective maintenance checks on-site to facility components. You will perform site inspections and monitor the building and IBX alarms Performs moderately difficult repairs, maintenance, installations, and on-site inspections to facility systems. Supports energy efficiency measures Monitors the Building Monitoring System (BMS) and resolves moderately difficult alarm issues that require judgement in resolving while following standard operating procedures Operates and maintains plumbing, fire suppression, and safety systems Operates critical infrastructures under the supervision of more senior technical staff Normally receives little instruction on daily work, general instructions on newly introduced assignments Customer Operations Technician Queue Management & Reporting Prioritize and manage service requests to meet deadlines Maintain detailed records and audit reports Installations Rack and stack equipment in data centers Perform fiber terminations using a fusion splicer Set up telecom cabinets, fiber trays, and cage wiring. Troubleshoot fiber and copper circuits Support standard cross-connect work orders Other troubleshooting procedures Site Administration & Incident Support Performs moderately difficult site logs for permits, such as Maintenance Operation Protocol (MOPs) and scripts Identifies Single Points of Failure (SPOFs) and makes recommendations Responds to all moderately difficult on-site incidents, including failures, problems and delays Uses substantial understanding in following operating procedures to support on-site administration Work Orders & Additional Projects Completes routine work requests and circuit installations Troubleshoots and maintains office equipment (if necessary); supports auxiliary equipment and machines with problem-solving and repairs to avoid/minimize downtime Makes minor changes to mechanical, electrical, and specialized systems, as directed Carries out infrastructure projects Collaboration Collaborates with others to resolve moderately difficult facility incidents Effectively collaborates within the department; may mentor team members on general maintenance activities Provides stakeholders of inventory needs in order to maintain optimal stock levels of critical parts and equipment May recommend infrastructure projects Qualifications Must meet all eligibility requirements outlined in DOD Instruction 1322.29 and NAVADMIN 222/15. Required Technical associates degree, military-technical school, or civilian technical trade school completion Education level: Working on bachelor's degree or relevant experience with 1-4 years in Mechanical Engineering or related field. Comprehensive knowledge of critical infrastructure i.e., UPS, generator, BMS, chillers, life safety systems Coursework in HVAC design or heat transfer and thermodynamics Knowledge of HVAC testing and balancing methodologies Knowledge of IT hardware and other data center operations functions Good time management habits, ability to multi-task, to sustain focus on long tasks. Ability to communicate thoughts and technical ideas. Attitude of taking initiative, enthusiasm, eagerness to learn, teamwork, creativity. Ability to lift 50 lbs The ability to prioritize effectively, balance assigned work and exceptional organization skills required for our constantly evolving environments. Strong interpersonal and communication skills essential for team-based work assignments. Presentation skills with colleagues and clients of all levels Skillbridge Internship positions are open to active duty and/or transitioning military members. Compensation or pay for this role is made through the service member's current enlistment contract based on pay guidelines set by the Department of Defense (DoD) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. Equinix is an Equal Employment Opportunity and 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. (Equal Opportunity / AA / Disabled / Veterans Employer) 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.

Description: Join Lockheed Martin's digital transformation journey as we accelerate the OneLM Mission-Driven Transformation through our 1LMX program. This strategic priority is reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats. The Lockheed Martin Data and AI Enablement Organization is seeking a highly skilled and experienced Staff Solution Architect/Data Architect to support the onboarding of Enterprise customers onto the Enterprise Data Ecosystem (EDE). What You Will Be Doing: In this role as a strategic leader, you will be responsible for designing, planning, and governing large-scale data solutions that leverage EDE capabilities to meet our organization's needs and align with our strategic goals. Your key responsibilities include the following: Collaborating with cross-functional teams to identify data-related business requirements and define the data architecture Developing and maintaining a deep understanding of business requirements, providing technical leadership and expertise to business teams to develop ideal solutions Conducting product demonstrations and providing technical guidance to stakeholders, ensuring effective adoption of EDE capabilities Developing and maintaining documentation for data solutions, including architecture diagrams and technical specifications, data dictionaries, and user guides Providing technical leadership and mentorship to junior data and analytics engineers and architects, promoting best practices and knowledge sharing Staying up-to-date with industry trends and best practices in data architecture, engineering, and analytics, applying this knowledge to drive innovation and improvement Who You Are: You will be required the manage multiple customer projects simultaneously and prioritize tasks and competing demands in a fast-paced environment You will be working in a relatively new team, with opportunities to drive process improvements and shape the direction of our data architecture and analytics solutions You will need to be comfortable with ambiguity, navigating complex technical and business requirements to develop effective solutions What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here. Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Further Information About This Opportunity: US citizenship is required for this role due to system access Basic Qualifications: Significant experience in data architecture, data analytics, and/or solution design, with a proven track record of delivering complex data projects Excellent communication, presentation and interpersonal skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Strong technical leadership and mentorship skills, with experience guiding junior engineers and architects US citizenship is required due to system access Desired Skills: Experience with IBM Cloud Pak for Data (CP4D) Experience with data warehousing technologies Knowledge of data governance frameworks and data security best practices Experience with agile methodologies Experience with or knowledge of Supply Chain Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $131,000 - $227,125. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: No Career Area: Systems Architect Type: Full-Time Shift: First

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

DealMaker is a fast-growing fintech company revolutionizing the capital markets ecosystem with a mission to make online capital raising mainstream. We empower founders, CEOs, and operators to raise capital digitally, both from their own communities and through strategically marketed campaigns. No other platform provides an end-to-end solution like ours-and our track record speaks for itself, with over $2B raised across 1,000+ campaigns. We power the largest online capital raises for customers like EnergyX ($88M), Green Bay Packers ($65M), Miso Robotics ($72M+), Monogram Orthopaedics (Nasdaq:MGRM) and many others, with 3 IPOs in the past year alone. We are quickly expanding our horizons and are seeking talented team members to join us on our journey to transform the global capital market. Who you are You are a pragmatic problem-solver with a strong bias for action, aligning perfectly with our "Prioritize Speed over Perfection" value. You're passionate about data's power to "Drive Outcomes" and are constantly seeking to "Push Your Limits" by learning and applying new technologies. When faced with complex data challenges, you "Find a Way" to deliver robust and innovative solutions. You're "Bold and Direct" in your technical recommendations and committed to "Innovating and Simplifying" our data landscape. Above all, you "Obsess over Customers," recognizing that reliable and accurate data is paramount to their success and ours. What you will do As a Staff Data Engineer, you will be instrumental in building the data backbone that powers DealMaker's analytics and AI capabilities. You'll play a pivotal role in enabling our data-driven growth, reporting directly to the VP of Data and AI. This is a critical Senior Individual Contributor role within a dynamic team of four, where your impact will be felt across every analytics and AI initiative at DealMaker. Your primary responsibilities will include: Data Pipeline Development & Optimization: Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines to ingest, transform, and load data from various internal and external sources into our data warehouse/data lake. You will be critical in ensuring high data pipeline uptime (99% target) and reliability to support all analytics and AI initiatives. Data Architecture & Modeling: Collaborate with stakeholders across product, engineering, and business teams to define and implement optimal data models and schemas that support both analytical reporting and sophisticated machine learning applications. Data Quality & Governance: Implement and enforce stringent data quality checks, data validation rules, and data governance best practices to ensure the integrity, accuracy, and reliability of our data assets. Your work will directly contribute to maintaining high standards for data accuracy across key business metrics (+/- 5% target for Sales, Revenue, Shareholder Services, and OPSP). MLOps Implementation: Transition machine learning models from development to production, implementing MLOps practices such as model versioning, deployment, monitoring, and retraining. ML Model Development: Take an active part in the design, development, and validation of machine learning models, leveraging engineering best practices for code quality, scalability, and maintainability. Automation for AI Initiatives: Develop automated data pipelines and processes to support and accelerate our AI initiatives, including automating deal forecasting updates (targeting 20% of deals) and achieving high forecast accuracy ( Performance Tuning & Infrastructure: Proactively identify and resolve performance bottlenecks in data pipelines and queries, optimizing our data infrastructure for scalability and efficiency. Collaboration & Mentorship: Provide technical guidance and mentorship to other team members, fostering a culture of excellence and continuous improvement. Technology Evaluation & Adoption: Stay abreast of emerging data technologies, tools, and best practices in data engineering, data science, and MLOps, and recommend their adoption where beneficial. Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and data governance procedures. What skills you need Demonstrated years of experience in a Data Engineering role, with a proven track record of building and maintaining production-grade data pipelines. Strong proficiency in SQL, Python, and experience with relational and/or NoSQL databases (e.g., PostgreSQL, Snowflake, Databricks, etc.). Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and their respective data services (e.g., AWS S3, Glue, Redshift, Azure Data Factory, Google Cloud Dataflow/BigQuery), with a preference given to AWS experience. Solid understanding of data warehousing concepts, data modeling (dimensional modeling, etc.), and ETL/ELT processes. Working knowledge of machine learning fundamentals and experience collaborating with data scientists on model deployment and integration into production environments. Experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, CI/CD pipelines for ML models). Excellent problem-solving skills and the ability to troubleshoot complex data issues. Strong communication and collaboration skills, with the ability to translate technical concepts for non-technical audiences. A proactive, self-starter attitude with a desire to learn and grow in a fast-paced environment. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. Bonus Points Experience with real-time data streaming technologies (e.g., Apache Kafka, Kinesis). Prior experience in the FinTech or financial services industry. Contributions to open-source projects in data engineering or MLOps. Founded in 2018 by leading capital markets lawyers, DealMaker has blazed its own trail as the leading online capital-raising platform. As a Series A tech startup, we are well-capitalized, firmly established in our market, and ready to scale. Here's why you should want to join us: Competitive compensation with the opportunity to earn equity-get into a growth company on the ground floor A diverse & distributed team of doers, innovators, and experts Shared employee benefit plan (medical, vision, & dental) Strong autonomy with support from leadership Annual learning support And more! Equal Employment Opportunity DealMaker does not discriminate in hiring or terms and conditions of employment because of an individual's race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws. Please inform us if you require any accommodation, and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions. At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements: Hybrid People Leaders: must reside in AZ, required to be onsite at least once per week Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month Onsite: daily onsite requirement based on the essential functions of the job Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per month. This position is hybrid within the state of AZ only. This hybrid work opportunity requires residency, and work to be performed, within the State of Arizona. PURPOSE OF THE JOB Designs and implements business intelligence and extract, transform, and load (ETL) solutions using programming, performance tuning, data modeling. Creates databases optimized for performance, implementing schema changes, and maintaining data architecture standards across all of the business’s databases. Serves as a liaison between the Database Administration department and development teams. REQUIRED QUALIFICATIONS Required Work Experience 4 years of experience in computer programming, query design, and databases 6 years of experience in computer programming, query design, and databases (Senior level) Required Education High-School Diploma or GED in general field of study Required Licenses N/A Required Certifications N/A PREFERRED QUALIFICATIONS Preferred Work Experience 4+ years of experience building and managing complex Data Integration solutions. 4+ years of experience in computer programming, query design, and databases 4+ years of experience Database administration with SQL Server 6+ years of experience building and managing complex Data Integration solutions (Senior) 6+ years of experience in computer programming, query design, and databases (Senior) 6+ years of experience Database administration with SQL Server (Senior) Preferred Education Bachelor’s Degree in Information Technology or related field preferred Master’s Degree in Information Technology or related field (Senior) Preferred Licenses N/A Preferred Certifications MS SQL Certification or other certification in current programming languages ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES Data Engineer – Performs job functions with general supervision and peer review Learn area’s direct flow; and how it affects surrounding systems and operational areas. Architect, design, construct, test, tune, deploy, and support Data Integration solutions for various data management systems. Contribute to the team’s knowledge base with useful information such as adopted standards, procedure documentation, problem resolution advice, etc. Participate in the promotion of SQL Server best practices Collaborate with other technology teams and architects to define and develop solutions. Research and experiment with emerging Data Integration technologies and tools. Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed; ensuring a high degree of data quality. Support Enterprise database clustering, mirroring, replication among other SQL Server technologies. Develop, write and implement processing requirements and post implementation review Facilitate and/or create new procedures and processes that support advancing technologies or capabilities Design & Implement Extract, Transform, and Load (ETL) solutions utilizing SSIS Apply data mining rules Create logic, system, and program flows for complex systems, including interfaces and metadata Write and execute unit test plans. Track and resolve any processing issues. Implement and maintain operational and disaster-recovery procedures. Participate in the review of code and/or systems for proper design standards, content and functionality. Participate in all aspects of the Software Development Life Cycle Analyze files and map data from one system to another Adhere to established source control versioning policies and procedures Meet timeliness and accuracy goals. Communicate status of work assignments to stakeholders and management. Responsible for technical and production support documentation in accordance with department standards and industry best practices. Maintain current knowledge on new developments in technology-related industries Participate in corporate quality and data governance programs The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. Senior - Performs job functions with minimal supervision in a Lead capacity Research, analyze, track and resolve complex production problems. Build, support, and maintain complex processes, programs, and data. Evaluate high-level project information and assess project components to forecast work effort required. Provide peer-level review and mentoring to peers. Participate and/or lead complex technical projects. Act as a subject matter expert in two or more of areas as assigned: BI Production Reporting Database Architecture Database Architecture and Support Training Act as primary operational contact for internal and external customers when needed or in the absence of manager. Ensure Service Level Agreements between department and operational or technical areas are met. Lead, develop and mentor staff by providing opportunities for growth through delegation, training, and assignment to various project teams. Inform manager of any issues impacting the efficient and effective performance of the department including system, resource, and informational barriers; Provide timely feedback to team member on performance. Assist the manager in the day-to-day operations of the department. ALL LEVELS Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels. Maintain current on new developments in technology-related industries. Participate in corporate quality and data governance programs. Participate in on-call rotation. Perform all other duties as assigned. The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. Participate in on-call rotation. REQUIRED COMPETENCIES Required Job Skills (Applies to All Levels) Intermediate skill in use of office equipment, including copiers, fax machines, scanner and telephones Intermediate PC proficiency in spreadsheet, database and word processing software Advanced knowledge of business intelligence, programming, and data analysis software Intermediate knowledge of Microsoft SQL databases and database administration Intermediate proficiency in T-SQL, NZ-SQL, PostgreSQL, NoSQL, Hadoop, data tuning, enterprise data modeling and schema change management. Working technical knowledge of current software protocols and Internet standards to the extent that they apply to database administration. Excellent database troubleshooting skills Working technical knowledge of PowerShell. Strong object-oriented design and analysis skills Experience consuming, organizing and analyzing JSON and XML messages as data Required Professional Competencies (Applies to All Levels) Knowledge of agile development practices Strong analytical skills to support independent and effective decisions Ability to prioritize tasks and work with multiple priorities, sometimes under limited time constraints. Perserverance in the face of resistance or setbacks. Effective interpersonal skills and ability to maintain positive working relationship with others. Verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Systems research and analysis. Ability to write and present business intelligence documentation Demonstrate the ability to stay current on global threats and vulnerabilities. Maintain confidentiality and privacy Required Leadership Experience and Competencies Build synergy with a diverse team in an ever-changing environment Facilitate and resolve customer requests and inquiries for all levels of management within the Corporation (Senior only) Participation in one or more groups that aids in setting/enforcing standards and/or providing educational opportunities across the IT organization. (Senior only) PREFERRED COMPETENCIES Preferred Job Skills (Applies to All Levels) Knowledge of HIPAA regulations Advanced proficiency in spreadsheet, SQL queries, database, flow charting, and word processing software Advanced knowledge of data mapping techniques Advanced knowledge of computer operating systems Advanced knowledge of decision support systems Advanced knowledge of programming, database systems, and data management. Advanced knowledge of decision support systems Advanced knowledge of Business Objects Preferred Professional Competencies (Applies to All Levels) Advanced systems research and analysis expertise Impeccable project management skills Solid technical ability and problem-solving skills Knowledge of internal departments and operations Strong technical documentation skills and a strong ability to translate technical concepts so that they are easily understood by laypersons Preferred Leadership Experience and Competencies (Applies to Senior level) Ability to provide mentoring and peer review to junior team members Ability to build lesson plans and deliver lessons to junior team members Our Commitment AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group. Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.