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Data Architect- Senior Associate-logo
Data Architect- Senior Associate
PwCIndianapolis, IN
Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 4 year(s) Preferred Qualifications Certification(s) Preferred Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus Preferred Knowledge/Skills Demonstrates thorough abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Possess proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Demonstrate proven analytical, problem-solving, and communication skill; and, Possess ability to work independently and as part of a team in a fast-paced environment. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborate and contribute as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyze publications, and adopt modern technologies in solution architectures; Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, 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

Posted 1 week ago

Global Head Of M&S Data And Process Strategy-logo
Global Head Of M&S Data And Process Strategy
SanofiMorristown, NJ
Job Title: Global Head of M&S Data and Process Strategy Location: Cambridge, MA, Morristown, NJ, About the Job We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. We are seeking an experienced, visionary, and hands-on leader to drive our end-to-end M&S Data and Processes Strategy (DPS). The Global DPS Head would be responsible for overseeing Data Management, Data Governance, and Data Quality by Design. This role is pivotal in driving data-enabled business transformation and realizing our 'AI at Scale' ambition. The ideal candidate will combine strategic leadership with deep technical expertise in modern data architecture, artificial intelligence, and data governance. They will also have a profound understanding of data management principles and the ability to drive data quality and data integrity initiatives. The Global DPS Head is also responsible for overseeing the end-to-end process capabilities and process modernization, standardization and simplification. This role involves close collaboration with the Digital M&S and Smart & Digital Factory teams to identify and leverage the latest technology, with focus on AI-Gen/AI to enable transactional tasks automation, and ensure data integrity within the respective E2E processes. The Global DPS Head will monitor compliance with relevant regulations and policies, establish periodic self-auditing frameworks, and define appropriate internal control and risk frameworks to mitigate business risks. This role requires a visionary leader who can also be a hands-on practitioner, guiding technical decisions and mentoring team members. Main Responsibilities Scope: End-to-end M&S Data: all core systems (e.g.: SAP, MES, LIMS, QMS, Kinaxis), new use-cases (e.g. Lighthouses), automation assets (e.g. Engineering Equipment), Data Analytics (e.g. PBI, Factory 4.0, DEC) Sanofi Operating Model 'Plan to Manufacture' Business Processes as well as supporting M&S Manufacturing and Production Systems and Processes Data Strategy: Data Strategy: Develop and execute, in partnership with Digital M&S, an M&S Data Strategy (Master Data, Reference Data, Transactional Data) aligned with business objectives, enabling 'AI-Ready' Data posture. Data Governance: Implement the strategic vision for M&S Data Governance, securing Data Quality for Master, Reference and Transactional Data, across end-to-end Sanofi M&S Core Models and Digital Solutions, by design and at the point of entry. Maintain robust Data Governance frameworks, including data quality, privacy, and security standards. Drive initiatives to improve data quality, consistency, and accuracy, including automated controls and AI-enabled data structuration. Partnering with Digital M&S Data Foundation, Digital Programs Leads, Business Process Owners, and Business System Owners across M&S, lead the design and implementation of enterprise data architecture, flows, and consumption, ensuring scalability, security, integrity and compliance, and enabling AI-Ready Data Posture. Data Standards: Through Business Process Owners, define, maintain, and promote the M&S Data Standards to federate sites Key Users and Data Content Owners on one set of data and master data rules. Master Data Management: Oversee the Master Data Management (MDM) initiatives to ensure consistent, high-quality data across the enterprise. Data Lifecycle: Manage Data lifecycle processes, including data creation, modification, and deactivation. Comply with Sanofi AI RAISE principles. Compliance: Ensure compliance with data privacy regulations and industry standards. Culture: Drive data literacy and foster a data-driven culture throughout the organization. Business Process Ownership: Process Standardization and modernization: Develop a global core model in line with Sanofi Operating Model standards, support its deployment partnering with Digital Factory, and monitor adherence. Drive modernization, simplification and standardization across functions and GBUs, including AI-enablement for all transactional tasks. Design Authority, 'gate keeper ' and final approver for Standardized Business Process requirements, including Data and Master Data. Compliance Monitoring: Ensure adherence to relevant regulations and policies within E2E processes across Plan to Manufacture domain. Establish self-auditing frameworks to proactively identify gaps, inefficiencies, or non-compliance. Internal Control & Risk Management: Define, build, and monitor internal control and risk frameworks to mitigate business risks. User & Customer Experience: Provide best-in-class user and customer (M&S Network Sites and Global Functions) experience by identifying their needs, managing their expectations, and measuring satisfaction. Secure Gen-AI automation for manual activities and transactional tasks. Analytics & Reporting: Leverage analytics to define, manage, and monitor E2E process KPIs and related reporting. Track value generated from continuous improvement projects. Embed digital tools such as MySUA 2.0 and Plai in relevant routines. Documentation: Build, own, and maintain relevant process documentation aligned with Simple to Operate principles. Process Transformation: Design and transform processes to achieve best-in-class performance. Establish cross-functional ways of working and enhance the use of Business Operations services where applicable. Drive continuous improvement and innovation to foster efficiency and effectiveness, with focus on AI/GenAI enablers. Champion process innovation by identifying opportunities to leverage emerging technologies and best practices Training & Communication: Embed innovation in roles through training and communications to continuously improve performance and ways of working. Support process adoption across functions and geographies through effective change tools. About You Leadership Competencies: Strategic Vision: Ability to translate business strategy into data and technology initiatives, with clear execution and change management plan. Executive Presence: Strong communication skills to influence Executive and C-level stakeholders. Change Management: Experience leading organizational transformation. Team Building: Track record of building and developing high-performing teams. Innovation: Demonstrated ability to drive technological innovation and adoption. Experience and Qualifications: Bachelor's degree in Science or/and Engineering, Computer Science, Data Science, Business Administration, or a related field (Master's degree preferred). Minimum 15 years of experience in data management/ relevant field, with at least 7 years in a leadership roles. Experience in Pharmaceuticals/Biotech companies (Supply Chain/Operations). Understanding of Artificial Intelligence principles and applications, understanding of machine learning, natural language processing, and other relevant AI technologies. Proven track record of managing large teams and improving data quality and operational efficiency. Strong understanding of data management principles, data lifecycle, and data quality best practices. Experience with data management tools and technologies (e.g., MDM, data quality tools). Excellent communication, collaboration, and stakeholder management skills. Strong analytical and problem-solving abilities. Ability to work in a fast-paced, dynamic environment. Proven experience in process management and digital transformation. Strong understanding of compliance regulations and risk management. Excellent analytical skills and experience with KPI management. Ability to drive standardization and process improvement across functions and geographies. Travel Expectations: Up to 20% Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SP #LI-SP #LI-Hybrid #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $210,000.00 - $303,333.33 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

Posted 2 weeks ago

Staff Software Engineer, Data Platform-logo
Staff Software Engineer, Data Platform
DiscordSan Francisco, CA
We are seeking an accomplished and experienced Staff Software Engineer to join our dynamic team. As a leader within our Data Platform team, you will be responsible for designing, developing, and maintaining our data infrastructure and services. You will collaborate with cross-functional teams, including data engineers, data scientists, software engineers, and product managers, to deliver modern and bleeding-edge solutions that drive business insights and innovation. This role reports to our Director of Engineering, Data Platform. To learn more about Discord's Data Platform, read our engineering blog - including how we built our modern data stack leveraging open-source tools! What You'll Be Doing Define and execute the technical vision for Discord's data platform, enabling scalable, reliable, and performant data systems. Design, implement, and optimize data infrastructure to process and analyze petabytes of data across millions of users. Develop innovative data architectures to support analytics, machine learning, and operational insights. Build monitoring, logging, and alerting systems to ensure the health and performance of data services. Partner with data scientists, data engineers, product managers, and leadership to align technical solutions with business goals. Promote and drive best practices in data governance, security, and compliance across the organization. Provide technical leadership, mentor junior engineers, and foster a culture of excellence and continuous improvement. Stay up-to-date with industry trends and emerging technologies in data platform. What You Should Have 8+ years of experience in software engineering with a focus on large-scale distributed systems or data infrastructure. Expertise in building and maintaining scalable data platforms, including data ingestion pipelines, stream processing, and batch processing systems. Proficiency in programming languages such as Python, Java, Rust, or similar. Proficiency with open source data projects and experience working with open source communities. Hands-on experience with modern data technologies such as Kafka, Spark, Flink, Airflow/Dagster, or similar. Deep understanding of database systems (e.g., SQL, NoSQL, columnar storage) and data modeling principles. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure), containerization tools (Docker, Kubernetes), and microservices architecture. Excellent communication skills with a demonstrated ability to collaborate and influence across teams and levels. Proven ability to thrive in a fast-paced environment. Bonus Points A strong passion for Discord and gaming. Open source contributions to data-related projects. #LI-Remote The US base salary range for this full-time position is $248,000 to $310,000+ equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Posted 3 weeks ago

Data Engineer-logo
Data Engineer
FinixSan Francisco, CA
About Us Move money. Make money. Finix is a full-stack acquirer processor, empowering businesses of all sizes with flexible, modern payment solutions. Processing billions of dollars annually, Finix enables SaaS, marketplace, and e-commerce platforms to accept payments, manage payouts, and onboard merchants seamlessly. With our no-code, low-code, and developer-friendly tools, businesses can get up and running in hours—not months. Finix has raised over $175M, including a $75M Series C led by Acrew Capital, with participation from Lightspeed Venture Partners, Leap Global, American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Sequoia Capital, Visa, and others. About the Role Finix’s reporting cluster is the source of truth for operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs. As a Data Engineer in the Data Engineering team, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster. You are critical to both Finix, and our customers, in supplying the data that underpins key operations decisions, uncovers hidden issues, and powers insight through reports, analytics, and dashboards owned and managed by the Data Engineering team. Our operations teams will depend on you to find, source, prepare and supply the right data allowing them to run Finix. Our product team will depend on you to serve the right data quickly and reliably to our customers so they can make timely business decisions. Data Analysts will rely on you to source and channel data where it needs to be and how it needs to be organized to power daily operations and decisions. You will Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams Be a go-to resource for all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data Design, build and maintain all code, pipelines, schemas, databases and frameworks that power Finix’s data analytics and reporting capabilities You are Detail-oriented, with a healthy dose of mistrust, driving you to investigate even the slightest data discrepancy Thrive in a fast-paced environment around common goals and priorities but able to self-direct and problem solve with others to make progress Fast learner of new languages, tools & frameworks. You are willing to go wherever necessary to accomplish your goals even if you haven’t been there before. Curious about new approaches and pushing the boundaries of what exists. You have 3+ years of experience in Data Engineering, ETL, Data Modeling, Data Science or related role Proficient with SQL, Python, Java and frameworks such as Spark, Storm, Airflow, Glue etc. B.S in computer science, mathematics, statistics, physics, or a related data field Experience with BI tools such as Looker, Sisense, Superset, Tableau ----------------------------------------- Finix is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class. Role: Data Engineer III Level: IC3 Location: San Francisco, CA Base Salary Range: $150,000/yr to $190,000/yr + equity + benefits Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job related skills, experience, and relevant education or training.

Posted 30+ days ago

Data Center & Networking Sales Specialist-logo
Data Center & Networking Sales Specialist
nVent Electric Inc.San Diego, CA
We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. WHAT YOU WILL EXPERIENCE IN THIS POSITION: Responsibility for achievement of the sales quota in assigned territory/region/country. Manage relationships with customers and distributors to understand their requirements and develop appropriate solutions meet their needs. This will include running sophisticated accounts with multiple collaborators and at potentially multiple locations. Develop and implement a sales strategy that focuses on channel, end-users and installers that enables territory management and sales growth. Continuously scan for prospects with current or new customers to achieve new sales, expands offerings within the account, and populates account pipeline consistently and on a timely basis. Provide continual updates via CRM on account and conversion status of target accounts. Provide extensive product and solutions training for customers and distributors. Respond to customer questions and provide follow-up to assure resolution. Understand current market relationships and partnerships with customers and distributors and maintain knowledge of competitors' activities throughout assigned territory. Demonstrate high team engagement and alignment to the nVent values. YOU HAVE: Bachelor's degree in engineering (Electrical, Mechanical, Electromechanical, or Computer Engineering). 5+ years of experience and/or training in technical solutions selling; or equivalent combination of education and experience. Particularly in the data center and networking or technology sector. Fully bilingual. Understanding of networking and data center infrastructure, including power distribution, cooling, and IT hardware/software. Experience working with Salesforce.com or similar CRM program. Demonstrated skills associated with selling to multiple types of customers, including distributors, consultants, engineers, end users, OEMs, MROs and contractors. Skills in leading multiple tasks/projects along with the ability to work in a self-directed manner. Demonstrated skills to develop and deliver effective presentations and proposals. Demonstrated ability to use partnerships and work in a team environment to drive the strategic plan. Consistently demonstrates alignment to interpersonal strategy to advance opportunities. Ability to define and quantify opportunities through customer research. Proven ability to negotiate by collaborating with others to arrive at a conclusion using compromise, persuasion, and influence, rationale and diplomacy both internally and externally in a selling environment. Strong written and verbal communication skills, as well as the ability to present their views in a clear and compelling manner. Ability to develop positive relationships in the assigned account markets to assess trends/conditions, and translate these into opportunities to deliver value according to timelines given. This role requires a combination of technical knowledge and sales expertise to effectively promote and sell data center and networking solutions Work will require meeting with customers in the field and will include meetings with customers after normal business hours. Role will require ~10-25% travel with potential overnight travel. Valid driver's license required. WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at www.nvent.com. Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth. #LI-PF1 #LI-Remote

Posted 2 weeks ago

Cloud Data & Analytics Senior Manager (Insurance)-logo
Cloud Data & Analytics Senior Manager (Insurance)
PwCColumbus, OH
Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $130,000 - $256,000, 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

Posted 1 week ago

Data Architect- Senior Manager-logo
Data Architect- Senior Manager
PwCTulsa, OK
Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. 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. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Preferred Qualifications Certification(s) Preferred Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborate and contribute as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $130,000 - $256,000, 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

Posted 1 week ago

Capital Partners Head Of Data And Reporting-logo
Capital Partners Head Of Data And Reporting
Brown Brothers HarrimanNew York, NY
At BBH, Partnership is more than a form of ownership-it's our approach to business and relationships. We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what's next, this is the right place to build a fulfilling career. At Brown Brothers Harriman, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens and steps outside their role to add value wherever they can. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client's financial well-being. If you are looking for an entrepreneurial environment where you can learn and thrive, Brown Brothers Harriman is the right place for you. Brown Brothers Harriman is currently recruiting a Head of Data and Reporting to join our Capital Partners (CP) line of business. As the CP Head of Data and Reporting, you will be responsible for overseeing our Data Governance and Reporting Pillar for the combined Investment Management and Private Banking businesses. You will oversee the teams responsible for client reporting, performance reporting, composite reporting, client statements and management reporting. You will also be responsible for setting both a governance and reporting strategy and overseeing the respective teams to ensure the timely execution of the strategy. You will be responsible for defining the CP Data Roadmap in close coordination with our Technology group. Your approach will include organizing and designing strategic and tactical initiatives to ensure continued accuracy and enhanced accessibility of data. Key activities will be defining and driving the content of the Roadmap including current state assessment, future demand, with prioritization based on business need, while balancing speedy delivery of critical functionality with long-term business goals. These activities will improve our ability to service client needs and respond to inbound requests from consultants and prospects related to sales efforts. Some of your key responsibilities include: Establish and Oversee the CP Data Governance initiative: Ensure business is being well served by providing reliable, accurate and timely data delivery Oversee subject matter experts related to data governance Ensure CP business plan aligns with the firm's overall data strategy Management Reporting: Develop strong working relationships with the Front Office Relationship Teams and other CP support groups to determine reporting needs Work with SMEs on their team to execute on the needs Performance Reporting: Oversee the group responsible for performance and composite reporting Data governance including oversight of data stewardship, data mapping, data provisioning, data management, and data quality. You must keep a pulse on the industry, and research, evaluate and recommend new technologies, tools and frameworks Process/Productivity Improvement: Manage current talent and add talent to the team to achieve overarching goals Communicate professionally and constructively to effectively resolve issues to minimize risk and exposure Make recommendations that improve employee and client experiences as they interact with data Qualifications: BA or equivalent with 10+ year of relevant experience Ability to manage a large team Deep knowledge of Fixed Income instruments and related data elements Excellent attention to detail, time management and organizational skills Strong interpersonal, collaboration and relationship management skills and effective verbal and written communication Ability to multi-task and meet deadlines under pressure Proactive self-starter who is goal and solution oriented Demonstrate risk awareness and ability to identify red flags Solid understanding of AddVantage, FirstRate, Addepar, PB Portal, PB Mobile App, PB Data Warehouse Experience with Oracle Databases and SQL Experience with reporting tools, Power BI, Tableau, Cognos, Hyperion Salary Range $150,000 - $200,000 plus annual incentive BBH's compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck-providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being. We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn't followed a traditional path, includes alternative experiences, or doesn't meet every qualification or skill listed in the job description, please do go ahead and apply. About BBH: Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us. We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development-so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice-creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another. We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often-pushing the boundaries of innovation. As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours. Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.

Posted 30+ days ago

Software Engineer II - Data Analysis Platform-logo
Software Engineer II - Data Analysis Platform
Relativity SpaceLong Beach, CA
About the Team: Terrestrial Software is the central nervous system of Relativity Space, powering design, manufacturing, testing, and launch through a unified stack of enterprise applications, factory automation, and ground systems. Our goal is instant data accessibility and automated decision-making embedded in every workflow, removing friction and enabling fast, intelligent company-wide operations. About the Role: You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. You'll join our 8-person Factory Platform team within the 40-person Terrestrial Software organization. Direct collaboration with GNC engineers, test engineers, and hardware development teams. Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows. The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs. Stack Backend: Python, Go, Postgres Frontend: React, TypeScript Infrastructure: Kubernetes, Terraform, DBT, Spark Data: Iceberg, DuckDB, Redshift About You: 3+ years shipping production software Strong React and modern frontend patterns Experience with data analysis tools or scientific computing CS/Engineering degree or equivalent depth Nice to haves but not required: Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge.

Posted 1 week ago

Data Security Engineer-logo
Data Security Engineer
Booz Allen Hamilton Inc.Arlington, VA
Data Security Engineer Key Role: Architect, deploy, and configure data security solutions across various clients for DoD, IC, and Civilian Federal clients. Create new architectures to meet client requirements adhering to Zero Trust best practices and IC data header guidelines. Interface with key stakeholders, including agency personnel and internal delivery and engineering teams. Assist in building custom policy to ensure positive control of data across hybrid cloud environments. Basic Qualifications: 3+ years of experience with designing, deploying, and configuring data security solutions Experience with data security and performing systems administration, including installation, configuration, monitoring system performance and availability, upgrades, and troubleshooting for data security tools such as Virtru, PKWare, or Thales Experience with DSPMs, such as Varonis and BigID Experience with data-centric security models, including maintenance Experience with designing, implementing, configuring, operating, or testing IT systems or security infrastructure Experience with documenting and diagraming technical architectures Top Secret clearance HS diploma or GED Ability to obtain a Security+ certification within 9 months of start date Additional Qualifications: Experience with working in federal, DoD, or IC agency environments Experience with Linux administration Experience with Titus Data Classification Experience with containerization solutions Knowledge of federal information security policies, standards, procedures, directives, frameworks, federal security authorizations, assessment, and risk management processes for enterprise systems TS/SCI clearance Bachelor's degree in IT Security or Engineering Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Posted 1 week ago

Senior Data Analyst-logo
Senior Data Analyst
Strategic Data SystemsDahlgren, VA
Data Analyst Dahlgren Naval Surface Warfare Center, Dahlgren, VA Salary negotiable (Dependent on experience level) - Full Time with Benefits Flexible Start-Date – Contingent on contract award The Data Analyst is part of a business intelligence and data warehouse team tasked with providing data analysis, data design, systems development, training, and customer support. Responsibilities include: • Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation. • Data Analyst support will also include development of data interface specifications, on-line query and report specifications, database load specifications, and data validation specifications. • Customer support, including interfacing with customers, trouble shooting, product review and analysis and problem resolution. To qualify, you will need: • An Active DOD Secret Security Clearance • High School Diploma and six (6) or more years of experience • Experience with data warehouse development and design, data knowledge acquisition, legacy conversion specifications and design of data structures/load specifications, and knowledge of Working Capital Fund and Enterprise Resource Planning (ERP), financial, and human resources systems methods and strategies for data warehousing. • The ability to apply analytical skills relating to database management and development • Knowledge of relational database management systems and data warehousing • Experience using Cognos Tool Suite to create reports and dashboards • Skill in writing and analyzing structured query language (SQL) queries • Experience with requirements developing definition and application designs in the form of logical data models, data interface specifications, on-line query and report specifications, structured query language (SQL), database performance loading specifications, and data validation specifications . • Ability to communicate effectively orally and in writing for required customer support and requirements gathering and validation • Knowledge of analytical tools and evaluation techniques • Knowledge of government accounting (highly desired: DOD Accounting) • Ability to communicate effectively with all levels of employees and outside contacts • Strong interpersonal skills and good judgment with the ability to work alone or as part of a team Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Posted 30+ days ago

Data Annotation Specialist - Arlington, VA-logo
Data Annotation Specialist - Arlington, VA
Figure Eight FederalArlington, VA
Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) is the FOCI mitigated arm of Appen (APXYY) focused on the U.S. defense and intelligence sector. As a global leader in the development and optimization of AI training data, F8F sets the standard for innovation in quality, efficiency, and scalability across AI initiatives. Our technology is utilized by over 6.8 million data specialists skilled in over 235 languages , delivering unparalleled expertise in capturing domain specific knowledge into formats models can train against. The F8F platform is currently used by over 80% of leading LLM developers. As the world’s largest provider of geospatial human domain monitoring data , F8F processes and analyzes petabits worth of geospatial data to provide enhanced situational awareness around the globe. Through our Hydra AI platform, we handle more than 500 billion events per month across 200 countries and territories , serving over 1 billion active users . At its core, F8F is dedicated to empowering defense and intelligence agencies with cutting-edge technology to drive the Nation’s strategic AI advantage and drive mission impacts. With a proven track record of delivering secure, reliable, and scalable data solutions, F8F remains at the forefront of driving innovation in AI training data. Learn more about how F8F is shaping the future of AI at F8Federal.com . The Data Annotation Specialist (located in Rosslyn, VA) is a role involving reviewing data (audio, video, imagery and text) and labeling objects within those datasets according to predefined descriptions. This position plays a large role in developing training data for Artificial Intelligence and Machine Learning capabilities. The specialist will be working in a large group environment where communication is key to completing day to day tasks. You will be a great fit if you are: Self-motivated Team-oriented Possess a high level of focus and attention to detail Required Qualifications: High school diploma or equivalent Highly organized and able to take direction well Ability to work independently, cooperatively, and collaboratively as a team member Possess excellent oral and written skills, including non-technical writing Excellent analytical skills, coupled with a strong sense of ownership, urgency, and drive Proficient in Microsoft Office products Ability to handle ambiguity and changing priorities US Citizenship Ability to obtain and maintain a Secret security clearance Desired Qualifications: Familiar with CVAT Secret or Top Secret clearance Associate degree or bachelor’s degree 1+ years of experience in an office environment Prior experience in intelligence analysis, GEOINT or some other -INT discipline, specifically imagery analysis We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Posted 30+ days ago

Data Labeling POD Supervisor (Secret)-logo
Data Labeling POD Supervisor (Secret)
Figure Eight FederalSt. Louis, MO
Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands. With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. As a Labeling Pod Supervisor for our AI Data Labeling operation, you will play a critical role in ensuring the accuracy, efficiency, and quality of our data annotation processes. With a keen eye for detail and a strong background in team leadership, you will oversee a team of data labelers and guide them in delivering high-quality labeled datasets that power machine learning models across a wide range of applications. Key Responsibilities : •Lead, mentor, and manage a multidisciplinary team of ≈ 20 individuals performing labeling tasks aligned with mission specifications •Monitor daily performance against productivity and accuracy KPIs using program dashboards and reporting tools •Coordinate with Site Lead, and other Pod Supervisors, to assign tasks, manage shifts, and monitor deadlines •Coordinate with Quality Control Technician to implement corrective actions for quality or timeliness issues, including retraining, coaching, or process adjustments •Serve as the first-line escalation point for technical or operational issues within the labeling pod •Support the onboarding and training of new pod members in collaboration with trainers and human-in-the-loop (HITL) reviewers •Ensure compliance with all labeling standards, security protocols, and operational procedures •Drive continuous improvement initiatives to optimize pod efficiency, quality, and morale among the labeling teams Required Qualifications: Bachelor’s degree in a technical, geospatial, or management field and 2+ years of experience – Additional years of experience may be substituted in lieu of degree Demonstrated experience in managing or coordinating teams in a production environment Previous experience and understanding of data labeling annotation workflows Excellent organizational, communication, and people-management skills Demonstrated ability to manage multiple priorities under deadline pressure US Citizenship Secret clearance with eligibility for TS Desired Qualifications: Bachelor’s degree in business management Fully adjudicated TS with SCI eligibility Experience with geospatial data processing and AI-driven mapping technologies Understanding of augmented reality (AR) and edge computing Prior work in ethical AI and model explainability techniques TS clearance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Posted 30+ days ago

Data Labeling POD Supervisor (Secret)-logo
Data Labeling POD Supervisor (Secret)
Figure Eight FederalArlington, VA
Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands. With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. As a Labeling Pod Supervisor for our AI Data Labeling operation, you will play a critical role in ensuring the accuracy, efficiency, and quality of our data annotation processes. With a keen eye for detail and a strong background in team leadership, you will oversee a team of data labelers and guide them in delivering high-quality labeled datasets that power machine learning models across a wide range of applications. Key Responsibilities : •Lead, mentor, and manage a multidisciplinary team of ≈ 20 individuals performing labeling tasks aligned with mission specifications •Monitor daily performance against productivity and accuracy KPIs using program dashboards and reporting tools •Coordinate with Site Lead, and other Pod Supervisors, to assign tasks, manage shifts, and monitor deadlines •Coordinate with Quality Control Technician to implement corrective actions for quality or timeliness issues, including retraining, coaching, or process adjustments •Serve as the first-line escalation point for technical or operational issues within the labeling pod •Support the onboarding and training of new pod members in collaboration with trainers and human-in-the-loop (HITL) reviewers •Ensure compliance with all labeling standards, security protocols, and operational procedures •Drive continuous improvement initiatives to optimize pod efficiency, quality, and morale among the labeling teams Required Qualifications: Bachelor’s degree in a technical, geospatial, or management field and 2+ years of experience – Additional years of experience may be substituted in lieu of degree Demonstrated experience in managing or coordinating teams in a production environment Previous experience and understanding of data labeling annotation workflows Excellent organizational, communication, and people-management skills Demonstrated ability to manage multiple priorities under deadline pressure US Citizenship Secret clearance with eligibility for TS Desired Qualifications: Bachelor’s degree in business management Fully adjudicated TS with SCI eligibility Experience with geospatial data processing and AI-driven mapping technologies Understanding of augmented reality (AR) and edge computing Prior work in ethical AI and model explainability techniques TS clearance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Posted 30+ days ago

Senior Engineer, Data Acquisition-logo
Senior Engineer, Data Acquisition
Zus HealthBoston, MA
Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. We are seeking a senior engineer to join our Data Acquisition (DA) team. Engineers at Zus have the opportunity to collaborate with our founding product and engineering leaders to bring our vision to the nation’s healthcare entrepreneurs. This team is responsible for collecting health data from a broad range of internal and external sources and making that data useful for users of the Zus platform. The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data. The ideal candidate will be excited to take on the challenge of unifying diverse health care data sources to bring a clear picture of patient needs to our customers in ways that the developers of said data sources never thought or cared about You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice, although we also have some components written in NodeJS. The team is responsible for deploying, maintaining, and operating its pipelines and services. As part of our team you will... Build complex data pipelines Build microservices connecting to third party APIs Provide technical leadership, contributing to the architecture and design of the teams systems Coach others to become better engineers Partner with product managers and other Zusers You're a good fit because you... Are scrappy and you move fast Have experience with operationally stable and cost efficient data pipelines Enjoy owning your work and seeing it deploy safely in production Have experience building backend software in any language (we use mostly Go with a bit of Node) Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation, Chef) Are excited to ~ finally! ~ enable a true digital revolution in healthcare Thrive amid the changing landscape of a growing and evolving startup Enjoy collaboration and solving unique problems Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. It would be awesome if you were... Experienced in building and running large-scale systems in the cloud Experienced in building services and APIs used by third-party developers Knowledgeable about application security Experienced in working with healthcare data and APIs Familiar with the FHIR and/or TEFCA standards We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity • Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO • Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

Posted 30+ days ago

Data Analyst - Performance Marketing-logo
Data Analyst - Performance Marketing
HealthCareChicago, IL
Join Us! HealthCare.com has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to better fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance. Job Overview We are seeking a Performance Marketing Analyst to join our analytics team, focusing on delivering data-driven insights and measurement to optimize paid media campaigns and improve customer acquisition efficiency . In this role, you will partner closely with our marketing and product teams to measure performance, optimize campaigns, and improve customer acquisition funnel conversion at scale. The ideal candidate has a strong analytical foundation, hands-on experience with paid media and customer acquisition funnels, and a track record of analyzing two-sided marketplaces and turning data into actionable insights Key Responsibilities Campaign Performance Analytics - Analyze and monitor marketing performance across Google, Bing, and Facebook Ads, identifying opportunities to improve efficiency and effectiveness. - Build and maintain dashboards and reports to track CAC, ROAS, CPA, CTR, CVR, and other core acquisition metrics. - Support weekly/monthly reporting cadences and proactively surface performance trends and anomalies. - Evaluate A/B and multivariate tests to assess impact and inform creative, bidding, and audience strategies. Attribution & Funnel Measurement - Support or build attribution models (first-touch, last-touch, multi-touch). - Analyze conversion funnels to pinpoint drop-off points and user friction. - Optimize marketing acquisition channels with funnel experiences. - Help connect paid media spend to downstream actions. Forecasting & Budget Planning - Collaborate with marketing and finance to build spend forecasts, acquisition projections, and channel ROI models. - Analyze marginal CAC and incremental spend impact to inform budget allocation. Experimentation & A/B Testing - Design and evaluate creative tests, landing page variants, bidding strategies, audience segments, and conversion funnel variants. - Ensure statistical rigor in test setup and interpret results for incremental lift. Reporting & Automation - Build and maintain dashboards (e.g., Tableau, Looker, Power BI) to surface daily and weekly performance trends. - Automate routine reporting workflows and collaborate with data engineers for scalable pipelines. Stakeholder Communication - Present insights to marketing, product, growth, and executive stakeholders. - Translate data findings into clear recommendations and strategic guidance. Required Skills & Experience - 3+ years of experience in marketing analytics, growth analytics, or digital media analytics. - Hands-on experience analyzing performance for Google Ads, Bing Ads, and Facebook/Meta Ads campaigns. - Hands-on experience analyzing customer conversion funnels. - Strong command of SQL and experience working with large-scale marketing or customer datasets. - Proficiency in data visualization tools such as Tableau, Looker, Power BI, or sigma. - Solid understanding of digital marketing metrics (CAC, ROAS, CPA, CVR, LTV) and campaign tracking methods. - Experience analyzing A/B experiments for statistical significance. - Ability to clearly communicate technical findings to non-technical stakeholders. - Strong problem-solving skills and a collaborative, solutions-oriented mindset. Preferred Qualifications - Experience with Google Analytics, Google Tag Manager, and UTM/campaign tracking. - Familiarity with incrementality testing, attribution models, or multi-touch attribution platforms. - Exposure to data warehousing environments such as Snowflake, BigQuery, or Redshift. - Experience working in a subscription, eCommerce, or high-growth consumer environment. - Basic familiarity with Python or R for data analysis is a plus. Benefits Opportunity to work from home Excellent work environment Medical, dental, and vision insurance Up to 15 days of paid time off 11 company observed holidays 8 weeks of paid parental leave 401k plan with company match Life insurance Professional growth opportunity Most importantly, an inclusive company culture established by an incredible team! Get to Know Us! https://www.healthcare.com/ linkedin.com/company/healthcare-com

Posted 1 week ago

Data Engineer-logo
Data Engineer
Xcimer EnergyDenver, CO
Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion! As a Data Engineer , you will assist efforts to unify and govern critical data systems across engineering, manufacturing, and business operations. You’ll serve as both a key technical contributor, participating in a cross-functional team to deliver the tools, simulations, and dashboards that power daily decision-making at Xcimer. This is a hands-on role with broad impact, ideal for someone passionate about operational excellence and shaping the future of clean energy. Responsibilities Design, document, and maintain an integrated data architecture linking CAD/CAE, PLM, ERP/MRP, procurement, and business systems Translate stakeholder needs into actionable user stories, roadmaps, demos, and OKRs Maintain and improve existing software systems to reduce technical debt and enhance performance Collaborate across domains such as design engineering, manufacturing, experimental physics, and computation to deliver fit-for-purpose tools Communicate effectively through documentation, diagrams, and code Qualifications Education: Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or a related field Experience: 5+ years of experience in Data Engineering for a manufacturing or R&D company. Proficient in at least one typed language (e.g., Java or C) and one untyped/scripting language (e.g., Python or JavaScript) Strong understanding of data modeling, ETL pipelines, and database systems Proven ability to learn new technical domains quickly and translate complex systems into robust tools Strong communication, organizational, and documentation skills Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee of granted asylum. Desired Startup or early-stage company experience Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act. Equal Employment Opportunity Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on “EEO Is the Law,” please see here and here . Benefits Benefits Employee Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave (must be employed at time of birth or adoption), short and long-term disability, 401(k) with a company match of up to 6%. Paid Time Off: 15 days per year based on weekly scheduled hours, 10 paid sick leave, and 13 company-paid holidays for all regular employees (including part-time), fixed-term, and interns. Equity will be granted to eligible employees. Equity is designed to allow employees to share in company results and success.

Posted today

Data Engineer (Hybrid onsite in Durham, NC-remote work is not an option)-logo
Data Engineer (Hybrid onsite in Durham, NC-remote work is not an option)
Digital TurbineDurham, NC
At Digital Turbine , we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem. Note this role will be based in Durham, NC. Eligible candidates MUST reside within a commutable distance as we are a hybrid office environment requiring an in-office presence of 3 days per week. About you as the Data Engineer Develop and implement new features for core systems leveraging our central data lakehouse. Automate critical data workflows and manual tasks to enhance team productivity and operational efficiency. Collaborate with Platform Engineering to support deployment processes and address infrastructure requirements. Work closely with cross-functional technology teams to identify, understand, and fulfill infrastructure and data-related needs. Determines a course of action based on guidelines and modifies processes and methods as required. Builds productive internal/external working relationships to resolve mutual problems by collaborating on procedures or transactions. About you as the Data Engineer: 3 years of experience working with open-source databases. 3 years of experience working with ETL and related data pipeline technologies. Bachelor’s Degree in computer science related field. Proficiency in SQL and Python is a must. Java and Scala experience is a plus. Highly proficient in GitLab and automating GL pipelines. Demonstrable experience with cloud-based ETL tools, Spark on K8s or Databricks. Ability to manage data platforms with Terraform. Experience with distributed data stores, with demonstrable experience using data lakes and optimizing query performance. Deep understanding of data structures and schema design. Prior work with AWS or GCP ecosystems. Enjoy working in fast-paced, collaborative, Agile environments and the ability to adapt and learn quickly is a fundamental necessity. About Digital Turbine: Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices. The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets. We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024. Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators. To view our Global Recruitment Privacy Notice , please click here . Notice to External Staffing Agencies, Placement Services, and Professional Recruiters ("Agencies"): Digital Turbine will not pay fees for any hires resulting from unsolicited resumes. To protect all parties involved, we only accept resumes submitted directly by candidates. Any unsolicited resumes sent to Digital Turbine, its affiliates, subsidiaries, or employees, through any method (mail, email, etc.), will be considered the property of Digital Turbine and free of any associated fees. Agencies must obtain prior written approval from Digital Turbine's Talent Acquisition team before submitting any candidate resumes. Resumes may only be submitted in connection with a valid, fully executed contract for services and in response to a specific statement of work. Without such an agreement in place, Digital Turbine will not be responsible for any fees related to submitted candidates. Agency agreements are only valid if they are in writing and signed by a Digital Turbine officer or an authorized designee. No other Digital Turbine employee has the authority to bind the company to any agreement regarding candidate placement by agencies. Digital Turbine specifically rejects any liability under agreements accepted by negative consent, candidate negotiation, performance, or any means not explicitly outlined above.

Posted 2 weeks ago

Data Scientist, Metrics Team-logo
Data Scientist, Metrics Team
WeRide.aiSan Jose, CA
Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. WeRide.ai Silicon Valley team is looking for an experienced and innovative data scientist for its growing metrics team to support the development and validation of both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification. The metrics team is at the forefront of accelerating the development and deployment of cutting-edge ADAS/AV technologies. As a Senior Data Scientist on this team, you will play a pivotal role in ensuring the safety, reliability, and efficiency of our autonomous systems. You will be responsible for developing and implementing rigorous evaluation frameworks and advanced statistical methodologies to assess overall system performance, as well as the performance of critical sub-systems across software releases, and different territories. Your work will directly inform crucial engineering decisions, guide iterative improvements, and contribute to the successful commercialization of our ADAS/AV stack. What You Will Do: Develop Rigorous Evaluation Frameworks: Design, develop, and implement advanced statistical frameworks for the comprehensive evaluation of ADAS/AV system performance, with a strong emphasis on safety, compliance, and progress metrics. Define and Monitor System Performance: Define, measure, and monitor key performance indicators (KPIs) for the overall ADAS/AV system. Develop automated data pipelines and reporting mechanisms to track these metrics across software releases. Evaluate Sub-system Performance: Define and implement metrics to evaluate the performance of individual sub-systems. Utilize these metrics to provide actionable insights that guide and accelerate sub-system development and improvement. Statistical Analysis and Experimentation: Apply advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to analyze complex behavioral data and derive robust insights into system performance and regressions between releases. Partner with Engineering Teams: Collaborate closely with Simulation, Systems Engineering, Product, and Software Development teams to integrate evaluation insights into the development lifecycle, inform release readiness, and ensure alignment on performance targets. Technical Leadership and Mentorship: Provide technical leadership on complex data science problems, champion best practices in data analysis and statistical rigor, and mentor junior data scientists within the team. Data Visualization and Communication: Create compelling data visualizations and communicate complex analytical findings clearly and concisely to diverse audiences, ranging from technical engineers to senior leadership. Requirements: Quantitative Degree: Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. Extensive Industry Experience: 3+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. Advanced Statistical Expertise: Deep expertise in advanced statistical methods and their application in real-world settings, including experimental design, hypothesis testing, regression analysis, causal inference and time series analysis, etc. Technical Problem Formulation: Proven ability to translate ambiguous real-world challenges into clearly defined data science problems, identify appropriate methodologies, and deliver effective solutions. Data Manipulation and Analysis: Proficiency in using programming languages (e.g., Python, R) and SQL for data extraction, manipulation, and analysis. Communication: Excellent verbal and written communication skills, with the ability to tailor technical explanations to various stakeholders. Flexibility: Ability to collaborate effectively with teams in different time zones. Preferred Qualifications: PhD degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. 5+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. Experience with large-scale evaluation frameworks for complex software systems, particularly in autonomous driving or robotics. Familiarity with ADAS/AV system architectures and the behavioral challenges inherent in autonomous driving. Knowledge of simulation platforms and their role in data generation and system evaluation. Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

Posted 2 weeks ago

Data Systems Coordinator-logo
Data Systems Coordinator
Equitas Academy Charter SchoolsLos Angeles, CA
The mission of Equitas Academy is to prepare students for college, careers, and life pursuits, and inspire them to be champions of equity. We currently serve over 2,000 students and operate four elementary schools and two middle schools in the Pico-Union neighborhood of Los Angeles. The Data Systems Specialist plays a critical role within the Technology Department, overseeing the integrity, security and functionality of student information systems (SIS) and ensuring compliance with all state and federal data reporting requirements, including CALPADS. This position supports school-based teams in accurate data entry, manages data quality initiatives, and provides critical reporting and system support to maintain operational excellence across the organization. Reports To: Director of IT Operations and Systems This is a full-time, hourly position. Essential Responsibilities Manage the administration and maintenance of the organization's Student Information System (SIS). Ensure data compliance with federal, state, and local regulations, including oversight and timely submission of CALPADS reporting. Monitor, audit and validate student enrollment, demographics, attendance and discipline data. Serve as the primary point of contact for system configuration, troubleshooting and data integrity issues. Create and manage custom reports and data extracts for leadership, school sites and external agencies as needed. Train and support school-based Office Coordinators and other staff on best practices for SIS data entry and management. Maintain clear documentation of SIS procedures, workflows and reporting deadlines. Collaborate with Operations, Schools, and other departments to support data-driven initiatives and compliance needs. Assist in the implementation and maintenance of integrations between SIS and third-party systems (e.g., assessment tools, communication platforms). Support the state-mandated testing processes by managing SIS-related data configurations (e.g., rosters, accommodations). Proactively identify opportunities for system optimization and recommend solutions to improve data management practices. Other duties as assigned to support the mission and operational needs of the organization. Minimum Qualifications: 2+ years of experience working with Student Information Systems or comparable data systems. Strong understanding of CALPADS reporting requirements. Proficiency with Microsoft Excel, Google Workspace (Docs, Sheets, Forms), and database management concepts. Exceptional attention to detail, organizational, and analytical skills. Ability to troubleshoot complex system and data issues independently. Excellent communication and training skills with both technical and non-technical audiences. Commitment to Equitas Academy’s mission and core values. Preferred Qualifications: Bachelor’s degree preferred. Prior experience supporting K-12 education data systems. Familiarity with California school reporting requirements beyond CALPADS (e.g., SARC, CRDC). Experience working in a multi-site school environment. Commitment to Diversity Equitas Academy is actively seeking to build a diverse and experienced team of educators and staff. We do not discriminate on the basis of race, color, gender, gender identity, disability, age, religion, sexual orientation, or national or ethnic origin. We are an equal opportunity employer. Salary The starting salary for this position is $30/hour. A Final Note If you're still wondering if you should apply and if Equitas is the place for you, we encourage you to take a chance, bring your questions, and learn more about us throughout the interview process. If you're wondering if you've got what it takes to be a successful manager here we’ll let you in on a secret: there’s no such thing as a "perfect" candidate. Equitas is a place where we believe in people and their potential and we support individual growth. So, whatever is on your mind, we hope you will give us, and yourself, a chance and submit an application!

Posted 4 weeks ago

PwC logo
Data Architect- Senior Associate
PwCIndianapolis, IN
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Job Description

Industry/Sector

EUR X-Sector

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Respond effectively to the diverse perspectives, needs, and feelings of others.
  • Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  • Use critical thinking to break down complex concepts.
  • Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  • Develop a deeper understanding of the business context and how it is changing.
  • Use reflection to develop self awareness, enhance strengths and address development areas.
  • Interpret data to inform insights and recommendations.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

4 year(s)

Preferred Qualifications

Certification(s) Preferred

Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus

Preferred Knowledge/Skills

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

  • Design and implement comprehensive data architecture strategies that meet current and future business needs;
  • Develop and document data models, data flow diagrams, and data architecture guidelines;
  • Ensure data architecture is compliant with data governance and data security policies;
  • Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions;
  • Evaluate and recommend new data technologies and tools to enhance data architecture;
  • Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;
  • Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership;
  • Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management
  • Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;
  • Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage;
  • Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;
  • Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;
  • Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible;
  • Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;
  • Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP;
  • Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;
  • Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;
  • Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks;
  • Optimize Cloud resources for cost, performance, and scalability;
  • Possess proficiency in SQL and experience with relational databases;
  • Proficient in programming languages such as Python, Java, or Scala;
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;
  • Experience with machine learning and data science workflows is a plus;
  • Knowledge of data governance and data security best practices;
  • Demonstrate proven analytical, problem-solving, and communication skill; and,
  • Possess ability to work independently and as part of a team in a fast-paced environment.

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

  • Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
  • Collaborate and contribute as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
  • Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
  • Research emerging trends, analyze publications, and adopt modern technologies in solution architectures;
  • Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.

Travel Requirements

Up to 80%

Job Posting End Date

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

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

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

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

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

The salary range for this position is: $84,000 - $202,000, 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