Senior Data Governance Architect- Governance AI

Capgemini•Austin, TX
•$109,180 - $197,175

About The Position

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. The position leads data and AI governance strategy and delivery, advises executive stakeholders, and translates strategy into solutions, roadmaps, and measurable outcomes. It includes architecture and implementation of governance platforms and capabilities, as well as leadership in responsible AI and agentic AI. The role also mentors teams, builds reusable assets, supports proposals, contributes thought leadership, and balances innovation, compliance, cost, risk, speed, and business value.

Nice To Haves

  • Preferred certifications include DAMA CDMP, EDM Council DCAM, TOGAF Enterprise Architecture, IAPP AIGP, ISO 42001 Lead Implementer/Auditor, and NIST AI Risk Management Framework.
  • Certifications in Collibra, Informatica, Microsoft Purview, Databricks, IBM, AWS, Azure, or Google Cloud are preferred.
  • PMP, Agile/Scrum, Privacy, Security, Risk, and Change Management certifications are preferred.

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.
  • Lead stakeholder alignment and enterprise decision-making.
  • Mentor teams, build reusable assets, support proposals, and contribute thought leadership.
  • Translate strategy into governance solutions, roadmaps, and measurable outcomes.
  • 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.
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