phData

Managed data engineering and ML solutions

Lead Advisory Consultant - AI Governance

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listed

About the Job

Requirements

At least 5 years of experience in AI/data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance.
Demonstrated experience designing governance frameworks, including risk tiering, model risk management, and platform/tool approval processes.
Experience designing operating models, including roles, RACI matrices, and governance bodies for data, analytics, or AI organizations.
Strong understanding of AI and generative AI concepts, including model types, agentic workflows, and enterprise use cases.
Familiarity with AI governance standards, including NIST AI Risk Management Framework, EU AI Act, and ISO/IEC 42001.
Working knowledge of data platforms and AI ecosystems such as Snowflake, AWS, and Claude, and how governance is implemented in practice.
Proven consulting delivery skills, including problem framing, hypothesis-driven analysis, and creating compelling executive-ready deliverables.
Excellent communication and storytelling skills, including the 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.

Responsibilities

Lead AI ecosystem assessments, identify maturity gaps, and design tailored governance frameworks—including principles, policies, and decision rights—aligned with client industry, regulatory environment, and AI enablement vision.
Own multi-workstream engagements, drive executive alignment, and develop multi-year governance roadmaps connected to AI strategy and value realization.
Define governance evaluation and approval processes for AI tools and use cases, including risk tiers, scoring methodology, and control expectations by risk tier.
Develop AI governance operating model blueprints, including governing bodies, roles, RACI matrices, and interaction models across Technology, Product, Information Security, Risk, and Legal.
Define and operationalize AI FinOps guardrails, including spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and total cost of ownership 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 and collaborate with engineering teams to ensure implementability on modern data and AI platforms.
Shape and close strategic opportunities in partnership with sales, including value propositions, solution approaches, and delivery models.
Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events.
Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, own relationships, align on delivery roadmaps, and surface 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 across Data Engineering, Analytics, AI/ML, and Advisory to design and deliver end-to-end solutions that drive customer success.
Contribute methods, templates, accelerators, and client-ready collateral to phData's AI Governance, Operating Model, and FinOps offerings.
Support sales pursuits, webinars, and thought leadership focused on AI governance.
Mentor consultants and senior consultants.

Desired Qualifications

Experience establishing AI governance committees, steering committees, or review boards, including charters, cadences, and decision rights.
Hands-on model risk management, responsible AI, or regulated-industry compliance experience in financial services, healthcare, or the 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.

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, 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

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

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

About the Company

phData

Managed data engineering and ML solutions

phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It delivers cloud data engineering, data migrations, business intelligence, and ML applications by combining data infrastructure automation with analytics and AI strategy in project-based engagements and ongoing support. It differentiates itself by offering full, service-led delivery focused on sustainable data engineering practices and strong customer success, plus its status as an AWS consulting partner with specialized cloud analytics and ML expertise on AWS. Its goal is to help clients turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps.

Company size: 501-1,000
Company stage: Seed
Total funding: $2.5M
Headquarters: Minneapolis, MN
Founded: 2014

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