Data Governance Specialist Jobs

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Manager of Technology, Data, Privacy, and Third-Party Risk Legal Services at Aetna Center of Excellence (COE) is a key leadership position responsible for overseeing privacy incident response, operations and technology solutions that protect sensitive data across the organization. This role requires a deep understanding of data protection laws (e.g., NY DFS, HIPAA, State laws), regulations, and policies to ensure compliance. The Senior Manager will conduct privacy incident investigations, help oversee privacy incident response, and draft privacy policies and documentation related to privacy incidents, remediation and investigations. The ideal candidate will work collaboratively with cross-functional teams to implement effective privacy programs, respond to data incidents and breaches, and maintain compliance with privacy, security, and data governance standards. Required Qualifications 7+ years of experience in Privacy, healthcare, data governance, risk management, compliance, or a related field. 5+ years of expertise in healthcare regulations, including HIPAA and other Privacy regulations, CMS requirements, and state privacy laws. Proven track record in investigating and handling privacy incident respon

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Global Programme Manager, Enterprise Data will support the Enterprise Data Programme Director in leading and delivering WPP’s global Enterprise Data programme. The role will be responsible for managing the day-to-day delivery of key programme workstreams, ensuring plans, resources, risks, dependencies and outcomes are actively managed across markets, technology teams, business stakeholders and delivery partners. This is a hands-on programme leadership role, providing delivery momentum, structure and coordination across a complex enterprise transformation. The postholder will work closely with workstream leads, PMO, Finance, technology teams and vendors to ensure delivery is controlled, decisions are progressed, risks are managed and programme outcomes remain aligned to the Data strategy. The role will play a key part in delivering WPP’s enterprise data transformation, supporting modernised data platforms, improved integration and standardisation, stronger data governance, trusted analytics and AI-ready data foundations across the group. What you'll be doing: Manage deliver

A liases : Project Manager, Program Manager, Product Manager, Data Operations Lead, Data Delivery Lead, Technical Delivery Lead, or Data Governance Lead. About Truveta Truveta is the world's first health provider-led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a unique combination of health, software, and big data expertise who share our company values. This opportunity Join the founding team of the Truveta India Development Center and play a pivotal role in shaping its future. As one of the early employees, you will help build and scale a high-impact organization while contributing to the products and platforms that advance healthcare through data and AI. This is an unusual chance to influence both the technical direction and the culture of a growing global engineering hub. You will be the program owner for the Data Platform work carried out in India. That means the data-source onboarding, the processing and quality programs, the governance and access work, and the release and adoption of what the team builds. It is a single, senior, hands-off-the-keyboard role with real accountability and no direct reports. Who we need We are looking for a Senior Technical Program Manager to lead complex, cross-functional programs across data acquisition, data processing, data quality, governance, platform delivery, and data-product adoption. You will work closely with engineering, data engineering, product, data science, operations, security, compliance, and business stakeholders to convert ambiguous data challenges into clear programs, measurable outcomes, and reliable production capabilities. You will have built systems and we expect you to read an

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant

About Capco Capco is a global business and technology consultancy dedicated exclusively to the financial services industry. Our consultants bring innovative thinking together with deep, first‑hand industry experience to help clients solve their most complex business and technology challenges. We partner with leading banks, capital markets firms, and wealth & investment managers to deliver transformation across finance, risk & compliance, regulatory change, and technology. With offices across major financial centres in North America, Europe, and APAC, Capco offers the opportunity to work on large‑scale, high‑impact programmes that shape the future of financial services. At Capco, collaboration, delivery excellence, and entrepreneurship define how we work and succeed. Project Manager – Data Management & Transformation THE ROLE The Project Manager – Data Management & Transformation will lead the delivery of strategic data initiatives, with a focus on Data Quality (DQ) remediation, data management capabilities, and enterprise data transformation programmes. The role is responsible for coordinating cross-functional teams, managing project plans, and driving execution across business and technology stakeholders. The successful candidate will bring strong programme and project management expertise, coupled with practical experience delivering data-focused initiatives involving data quality improvement, data lineage, data models, system design, and data governance capabilities. Key Responsibilities 1) Project & Programme Delivery Lead the end-to-end delivery of data management and transformation initiatives. Develop and manage integrated project plans, milestones, delivery schedules, and critical paths. Coordinate activities across business, data, technology, architecture, and vendor teams. Drive project execution from mobilisation through implementation and transition. Ensure delivery aligns with agreed scope, timelines, budget, and quality objectives.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the Role Data is Adyen's key differentiator, but to unlock its full potential, we are executing a fundamental technical and cultural shift. We are accelerating toward a strong Data Foundation model where every domain owns the data it produces, treats it as a product, and guarantees its quality at the source through enforceable data contracts. As the Technical Program Manager , you will be the operational engine driving our Data Foundations set-up. You will own the cross-functional execution framework required to establish robust data governance, support the rollout of self-service data infrastructure, drive organizational adoption, and systematically reduce technical debt across Adyen. Key Responsibilities Drive Execution at Pace : Take full ownership of the Data Foundation program, effectively unblocking teams so they can focus on building rather than navigating dependencies Bridge Gaps & Silos : Oversee and drive alignment across multiple solutions where you identify and manage dependencies that individual product teams might overlook Mitigate Risk : Ensure risks of the program are mitigated promptly and proactively to avoid impact of delays or incorrect technical decisions Cultural transformation and adoption : drive change management across the organization in the way we see, store and use data to ensure it fits

Manager – Finance Controls & Governance Location: Mumbai, India Experience: 5–10 Years Qualification: CA / CMA / MBA (Finance) About the Role We are looking for an experienced Finance professional to join our team as Manager – Finance Controls & Governance. This role is responsible for strengthening the Finance control environment by ensuring adherence to internal policies, monitoring financial and system controls, overseeing critical reconciliations, and driving governance across finance processes. The ideal candidate will have strong expertise in financial controls, ERP governance, reconciliations, audit management, and process improvement, with the ability to collaborate across Finance, Technology, Compliance, and Operations teams. Key Responsibilities- 1. Financial Controls & Governance Ensure adherence to approved Finance SOPs, policies, and internal control frameworks. Monitor key financial processes to identify control gaps, risks, and improvement opportunities. Conduct periodic control reviews and ensure timely implementation of corrective actions. Drive process standardization, automation, and continuous improvement initiatives. Strengthen governance practices to ensure finance processes remain compliant, efficient, and audit-ready. 2. Reconciliations & Exception Management Oversee critical reconciliations, including: Bank Reconciliations General Ledger (GL) Reconciliations Settlement Accounts Suspense Accounts Monitor ageing of unreconciled items and ensure timely resolution of exceptions. Investigate recurring reconciliation issues and implement preventive controls. Prepare and publish periodic dashboards on reconciliation status, ageing, and control exceptions. 3. SAP & Financial Systems Controls Monitor SAP financial controls, master data governance, and accounting configurations. Review user access, Segregation of Duties (SoD), and maker-checker controls in collaboration with Technology teams. Monitor system interfaces, manual journal entries,

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Job Title: Distinguished Engineer - Data Architect Role Overview: We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics. As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems. Key Responsibilities: Architect the Core Data Platform: Design, implement, and evolve a unified blueprint for streaming and batch data processing capable of ingesting, normalizing, and storing petabyte-scale, high-velocity security telemetry. Enable AI & Advanced Analytics: Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores—including optimal vector database structures and data lakehouse layers—required for low-latency AI inference and training. Enforce Zero-Trust Data Governance: Architect s

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Role Description Key Responsibilities Drive complex enterprise data transformation initiatives involving data analytics, reference data, data quality, regulatory data, reconciliation, and large-scale data transformation and migration programs. Act as a senior client-facing leader, engaging with global stakeholders across business, operations, technology, data governance, and executive leadership. Provide delivery leadership across interconnected workstreams including business analysis, migration, testing, process transformation, and coexistence/cutover planning. Establish strong program governance, execution discipline, escalation management, and cross-stream coo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure Data Intelligence (formerly 1touch.io) helps enterprises discover, classify, and contextualize data across cloud, on-premises, and edge environments—improving AI accuracy, building trust in AI outcomes, and reducing risk. As a Design Technical Architect – Data Management at Everpure, you will architect solutions that help the world's largest financial services, healthcare, and technology organizations discover, classify, and secure their data using the Inventa platform. You will serve as the strategic technical authority, transforming complex enterprise data footprints into clear, secure architectures that improve AI accuracy and mitigate data risk. Partnering closely with Sales, Customer Success, and Product teams, you will turn complex customer business needs into measurable data governance outcomes, acting as a crucial technical bridge for our global clients WHAT YOU'LL DO Design Scalable Enterprise Architectures: Architect and deploy Inventa platform solutions tailored to diverse customer environments, driving platform adoption and enabling organizations to securely contextualize their data across cloud, on-premises, and edge environments. Lead Complex Technical Integrations: Guide enterprise customers through data infrastructure mapping by seamlessly connecting the platform to on-premises databases, file servers, cloud storage, SaaS applications, and data lakes

Become a part of our caring community The Associate Vice President, Model & AI Governance, is the enterprise leader responsible for establishing and overseeing the organization’s framework for model governance, artificial intelligence (AI) risk management, responsible AI and AI governance. Reporting to the Chief Audit & Risk Officer, this executive provides independent second-line oversight and challenge of the organization’s use of models, advanced analytics, machine learning, generative AI, and emerging AI technologies. The role establishes the governance, risk-management, control, monitoring and escalation framework necessary to ensure AI models are deployed in a manner that is safe, ethical, transparent, explainable, compliant, secure and aligned with the organization’s mission and risk appetite. The Associate Vice President, Model & AI Governance, partners closely with executive leadership, technology, data and analytics, clinical/business leaders, compliance, legal, privacy, cybersecurity, information security, internal audit, enterprise risk management and other control functions to ensure AI-related risks are identified, assessed, governed, monitored, and appropriately reported. This leader will serve as an advisor to executive management on emerging model and AI risks, while maintaining appropriate independence from the teams developing and deploying models and AI solutions. Key Responsibilities Own and continuously enhance the enterprise model governance framework, including model identification, inventory, classification, risk tiering, development, validation, approval, implementation, monitoring, change management, retirement and documentation. Define model risk appetite, risk taxonomy, minimum control standards, governance requirements and escalation thresholds. Provide effective challenge over model

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Single-Family Data Analyst At Freddie Mac, you will do important work to build a better housing finance system, and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. We are accepting applications for this position until 10/16/2026 Position Overview: The Single-Family division within Freddie Mac is searching for creative individuals to join our organization. This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity, strong communication skills, and an eagerness to learn how emerging technologies, including AI-enabled tools, can enhance business outcomes. Our Single-Family College Analyst Cohort program is crafted to ease the transition of college into the workforce by providing skills training and mentorship programs, as well as in-class learning opportunities with senior leadership. Our Impact: Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. We provide data governance capabilities that help teams find, understand, and use data effectively across product, project, and delivery efforts. We support credit risk strategy, policy implementation, performance monitoring, and loan lifecycle analysis through data-driven insights. Your Impact: Document well written User Stories based on communication, discus

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices Create and maintain technical documentation to support knowledge sharing and long-term system sustainability Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value Responsibilities include, but not limited to: <span

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and support user well-being. This role focuses on the data foundations that make that work possible: the pipelines, stores, and governance controls that our detection, evaluation, and review systems are built on, deployed across AWS, GCP, and Azure. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. The systems you build sit underneath decisions with real consequences for customers and for people affected by model misuse, and much of the data moving through them is sensitive. Correctness, retention discipline, and access control are core engineering requirements here rather than things bolted on afterward. You will also design for portability from the outset, because these systems run in customer-managed and third-party environments you do not fully control. Key responsibilities Build and operate the data platform that powers Safeguards, including ingestion and processing pipelines, warehouses and other data stores, and the schemas and interfaces that detection and review systems depend on Keep Safeguards systems running day to day and hold a high operational bar that serves both safety and customers, while reducing the manual effort needed to sustain it Own data governance and integrity, including retention and access controls, privacy-preserving handling of sensitive data, lineage, and correctness guarantees