Senior Data Governance Architect- Governance AI

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. About the job you’re considering: 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 -Key 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: 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. 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:$109,180 to 197,175. 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 other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful e