Data Governance and AI Governance strategies

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Why should you consider this role:

A senior enterprise architect and trusted advisor responsible for defining and leading enterprise-wide Data Governance, AI Governance, Data Management, and Architecture strategies. The role focuses on establishing governance frameworks, operating models, platforms, controls, and AI governance practices that enable organizations to scale data and AI capabilities safely and effectively.

Your Role :

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: Collibra, Informatica IDMC/CDGC, Alation,  Ataccama , Microsoft Purview, Atlan, Databricks Unity Catalog, IBM watsonx.governance .

Design metadata management, lineage, business glossaries, stewardship, data quality, certification, privacy, retention, and data-product governance capabilities.

AI & Agentic AI Leadership :

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.

Required Experience :

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.

Leadership Expectations :

Operate as a senior architecture lead and trusted advisor.

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.

Preferred Certifications

DAMA CDMP

EDM Council DCAM

TOGAF Enterprise Architecture

IAPP AIGP

ISO 42001 Lead Implementer/Auditor

NIST AI Risk Management Framework

Collibra, Informatica, Microsoft Purview, Databricks, IBM, AWS, Azure, or Google Cloud certifications

PMP, Agile/Scrum, Privacy, Security, Risk, and Change Management certifications

Success Measures

Successful adoption of governance and AI governance frameworks.

Improved data quality, metadata, lineage, compliance, and audit readiness.

Increased AI readiness and controlled AI adoption.

Strong stakeholder engagement and measurable business value.

Demonstrated ability to architect and govern enterprise-scale data and AI ecosystems.

The base compensation range for this role in the posted location is:117,930 to $223,591.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

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

Important Notice: Compensation (including bonuses, commissions, or