phData

AIGovernanceLeader

$220–320k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“AI Governance Leader at phData. Skills: AI governance, Risk management, Frameworks. Identify maturity gaps. Design governance frameworks”

What You'll Achieve.

Balance value realization and risk management

Industry & Context.

Problems you'll solve

Identify gaps; Design frameworks; Develop blueprints

Eligibility Requirements

Travel up to 50%

What They're Looking For.

Must Have

Bachelor's degree, Ability to travel as required

Nice to Have

Experience standing up AI governance committees, Hands-on model risk management, Responsible AI experience, Regulated-industry compliance experience, Prior consulting experience, Public thought leadership contributions, Advanced degree, Relevant professional certifications

What You'll Do.

Identify maturity gaps

Design governance frameworks

Align to client's industry

Align to regulatory environment

Align to AI enablement vision

Drive executive alignment

Develop multi-year governance roadmaps

Connect roadmaps to AI strategy

Connect roadmaps to value realization

Define governance evaluation processes

Define governance approval processes

Define scoring methodology

Define control expectations

Develop AI governance operating model blueprints

Define governing bodies

Define interaction models

Define AI FinOps guardrails

Define spend visibility

Define budget thresholds

Define usage policies

Define platform approval

Define license rationalization

Integrate FinOps into governance

Facilitate executive sessions

Facilitate working sessions

Define governance metrics

Define governance dashboards

Track control coverage

Track governance effectiveness

Recommend third-party AI governance

Ensure implementability on modern data

Translate complex governance concepts

Build cross-functional consensus

How You'll Work.

Team & Collaboration

Cross-functional consensus; Engineering teams; Technology; Product; InfoSec; Risk; Legal

Communication Scope

Translate concepts; Executive sessions

Process & Methodology

Roadmaps

Full Job Description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 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) 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 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

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