AI Governance Leader
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Job Description
AI Governance Leader designing scalable governance programs for enterprise clients. Partnering with leadership to integrate AI governance into phData's Intelligence Platform strategy.
Responsibilities:
- Lead AI ecosystem assessments; identify maturity gaps and design tailored governance frameworks (principles, policies, decision-rights) aligned to client's industry, regulatory environment, and AI enablement vision
- Own multi-workstream engagements; drive executive alignment and multi-year governance roadmaps connected to AI strategy and value realization
- Define governance evaluation and approval processes for AI tools and use cases: risk tiers, scoring methodology, and control expectations by risk tier
- Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal
- Define and operationalize AI FinOps guardrails, including: spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions integrated into the broader governance model
- Facilitate executive and working sessions to align stakeholders and drive decisions
- Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness
- Recommend third-party AI governance tools; collaborate with engineering teams to ensure implementability on modern data & AI platforms
- Shape and close strategic opportunities in partnership with sales: value propositions, solution approaches, and delivery models
- Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events
Requirements:
- 10+ years in AI/Data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance
- Demonstrated experience designing governance frameworks: risk tiering, model risk management, platform/tool approval processes
- Operating model design experience: roles, RACIs, governance bodies for data, analytics, or AI organizations
- Strong understanding of AI/GenAI concepts including model types, agentic workflows, and enterprise use cases
- Familiarity with AI governance standards: NIST AI RMF, EU AI Act, ISO/IEC 42001
- Working knowledge of data platforms and AI ecosystems (Snowflake, AWS, Claude, etc.) and how governance is implemented in practice
- Proven consulting delivery skills: problem framing, hypothesis-driven analysis, compelling executive-ready deliverables
- Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences
- Demonstrated ability to influence without authority and build cross-functional consensus
- Bachelor's degree; ability to travel as required by client commitments
Benefits:
- 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
- Fivetran, dbt, Atlation, and AWS Partner of the Year
- #1 Partner in Snowflake Advanced Certifications
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
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