Data Governance and AI Governance strategies
About The Position
Capgemini is seeking a senior enterprise architect and trusted advisor to define and lead enterprise-wide Data Governance, AI Governance, Data Management, and Architecture strategies. The role establishes governance frameworks, operating models, platforms, controls, and AI governance practices that help organizations scale data and AI capabilities safely and effectively. It includes advising executive stakeholders, leading governance assessments and implementations, and owning architecture, quality, risk, and delivery across data and AI initiatives. The role also leads AI and agentic AI governance, including the use of generative AI and AI agents to automate governance activities and the design of frameworks and controls for responsible AI adoption. The position is expected to translate strategy into measurable outcomes, align enterprise stakeholders, mentor teams, and balance innovation with compliance, cost, risk, speed, and business value.
Requirements
- 10+ years in Data Governance, Enterprise Data Management, Data Architecture, AI Governance, or Consulting.
- Proven leadership of enterprise transformation programs and governance implementations.
- Deep expertise in governance frameworks, data quality, metadata management, MDM, data lineage, privacy, AI Governance, Responsible AI, and Enterprise Architecture.
- Knowledge of Generative AI, Agentic AI, RAG, Knowledge Graphs, Agent Orchestration, AI Monitoring, and Security Controls.
Nice To Haves
- DAMA CDMP certification.
- EDM Council DCAM certification.
- TOGAF Enterprise Architecture certification.
- IAPP AIGP certification.
- ISO 42001 Lead Implementer/Auditor certification.
- NIST AI Risk Management Framework certification.
- Collibra, Informatica, Microsoft Purview, Databricks, IBM, AWS, Azure, or Google Cloud certifications.
- PMP, Agile/Scrum, Privacy, Security, Risk, or Change Management certifications.
Responsibilities
- Define enterprise data governance and AI governance strategies, operating models, roadmaps, KPIs, business cases, and value realization plans.
- Advise executive stakeholders, including CDO, CIO, CTO, Risk, Privacy, Security, Compliance, and Business Leaders.
- Lead governance maturity assessments, capability design, architecture reviews, platform evaluations, and implementation roadmaps.
- Own architecture, quality, risk, and delivery across governance, catalog, data quality, privacy, MDM, analytics, cloud, and AI initiatives.
- Architect and implement governance platforms, including Collibra, Informatica IDMC/CDGC, Alation, Ataccama, Microsoft Purview, Atlan, Databricks Unity Catalog, and IBM watsonx.governance.
- Design metadata management, lineage, business glossaries, stewardship, data quality, certification, privacy, retention, and data-product governance capabilities.
- Use GenAI and AI agents to automate metadata discovery, glossary creation, lineage analysis, anomaly detection, issue remediation, and governance monitoring.
- Design AI governance frameworks covering AI intake and risk assessment, RAG readiness, model inventories, monitoring, incident management, recertification, and retirement.
- Establish Responsible AI controls for fairness, transparency, explainability, privacy, security, traceability, and human oversight.
- Design agentic AI environments with confidence thresholds, approval workflows, exception handling, rollback mechanisms, and accountable ownership.
- Translate strategy into governance solutions, roadmaps, and measurable outcomes.
- Lead stakeholder alignment and enterprise decision-making.
- Mentor teams, build reusable assets, support proposals, and contribute thought leadership.
- Balance innovation, compliance, cost, risk, speed, and business value.
Benefits
- Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
