Lead Advisory Consultant, AI Governance

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

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

• 5+ 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

Preferred Qualifications

• Experience standing up AI governance committees, steering committees, or review boards — charters, cadences, and decision-rights
• Hands-on model risk management, responsible AI, or regulated-industry compliance experience (financial services, healthcare, or public sector)
• Prior consulting experience at a data/AI firm or within a central AI/ML office or analytics function
• Public thought leadership contributions on AI governance
• Advanced degree or relevant professional certifications