Data Governance & Data Analytics Specialist

CapgeminiBridgewater, NJ
Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

  • Strong understanding of data governance models, frameworks, and processes (DAMA preferred).
  • Hands-on experience with at least one data governance tool, preferably Collibra; experience with Informatica or similar tools is acceptable.
  • Proven data analysis skills using: SQL, Python, At least one BI tool (e.g., Power BI, Tableau, Looker), At least one hyperscaler environment (Azure, AWS, or GCP)
  • Experience creating process models and process maps.
  • Strong communication, facilitation, and collaboration skills.
  • Demonstrated ability to apply AI tools and agents to enhance productivity and service delivery.
  • Prior experience in enterprise-scale data governance implementations.
  • Familiarity with metadata management, data quality frameworks, and lineage concepts.
  • Experience supporting regulated or complex enterprise environments.
  • Exposure to change management and governance adoption strategies.

Responsibilities

  • Design, implement, and maintain enterprise data governance models, policies, standards, and operating procedures in alignment with DAMA or similar frameworks.
  • Support the definition and management of critical data elements, business glossaries, metadata, data lineage, and data ownership/stewardship models.
  • Configure, manage, and optimize data governance tools such as Collibra (preferred) or Informatica to support governance workflows and controls.
  • Ensure adherence to governance standards related to data quality, data privacy, and regulatory requirements.
  • Perform data analysis using SQL, Python, and at least one Business Intelligence (BI) tool to support reporting, insights, and governance metrics.
  • Work with data on at least one hyperscale platform (Azure, AWS, or GCP), supporting modern cloud-based data ecosystems.
  • Partners with engineering, analytics, and business teams to validate data usage, ensure data quality, and resolve data issues.
  • Develop and maintain process models and process maps to document governance workflows, data lifecycle processes, and operating procedures.
  • Identify opportunities to streamline data governance processes and improve adoption across the enterprise.
  • Facilitate governance workshops and working sessions with stakeholders to define and document processes.
  • Leverage AI capabilities (e.g., Copilot, Claude, or other AI tools) to automate or accelerate governance, documentation, analysis, and reporting activities.
  • Design or enable AI-driven agents to perform recurring governance and analytics services efficiently.
  • Stay current with emerging AI capabilities and apply them pragmatically within data governance and analytics contexts.
  • Serve as a trusted advisor to business and technical stakeholders on data governance best practices.
  • Effectively communicate complex data and governance concepts to diverse audiences.
  • Facilitate discussions, working sessions, and decision-making forums related to data governance initiatives.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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