Delivery Leader, AI Governance
Phdata · US-Remote · Posted Jul 8, 2026
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Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US , India and LATAM
phData is seeking an AI Governance Leader to join our Advisory team. You'll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You'll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData's Intelligence Platform strategy.
Core Responsibilities
Client Delivery Execution
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
Client Leadership Account Growth
Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success
Thought Leadership Practice Development
Contribute to phData's AI Governance, Operating Model, and FinOps offerings: methods, templates, accelerators, and client-ready collateral
Support sales pursuits, webinars, and thought leadership focused on AI governance
Mentor consultants and senior consultants
Required Qualifications
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…