Senior Advisor, AI Compliance & Governance (100% Remote)
The Mom Project
Software Engineering, Data Science, Compliance / Regulatory
United States
Posted on May 27, 2026
Role Overview
The three must haves when it comes to experience and certifications
Key Responsibilities
Governance, Risk & Compliance (Advisory)
The three must haves when it comes to experience and certifications
- Data and AI Governance experience
- Risk management experience.
- CDMP and/or AIGP certifications.
Key Responsibilities
Governance, Risk & Compliance (Advisory)
- Maintains a strong understanding of applicable regulatory requirements, industry standards, and internal policy frameworks; monitors changes and provides timely governance, risk, and control insights.
- Supports PSPRA, RCRA and other risk assessment activities across Data Governance and AI‑related processes from an advisory and challenge perspective.
- Provides governance and control advisory support to business partners, clarifying expectations and risk considerations without directing operational decision‑making.
- Applies governance frameworks and control principles to assess alignment of business practices with enterprise standards and risk appetite.
- Communicates governance, risk, and control considerations clearly to stakeholders, supporting informed decision‑making and consistent application of expectations.
- Serves as a governance advisor to business and technology stakeholders, providing guidance on risk management practices, control design considerations, and policy interpretation.
- Supports the development, refinement, and socialization of governance standards, procedures, and guidance related to Data and AI risk management.
- Facilitates governance forums, working sessions, and stakeholder discussions to promote shared understanding of governance expectations and emerging risks.
- Reviews governance artifacts, assessments, and documentation prepared by others to provide advisory feedback on completeness, clarity, and alignment with governance and risk standards.
- Identifies governance gaps, emerging risks, or areas of inconsistency and escalates observations with clear articulation of risk and impact.
- Prepares governance summaries, advisory materials, and reporting to support leadership oversight and informed risk discussions.
- Builds and maintains strong working relationships with internal and external partners, particularly across first‑ and second‑line functions.
- Acts as a trusted governance, risk, and control advisor to stakeholders, balancing effective challenge with collaboration.
- Develops a deep understanding of end‑to‑end business processes related to data and AI model risk management and lifecycle management to provide relevant and practical guidance.
- Partners with stakeholders to support governance alignment while respecting ownership and accountability within the first line of defense.
- Continuously enhances knowledge and skills in Data and AI governance, compliance, and risk management.
- Works independently, exercising sound judgment to identify, assess, and escalate governance or control concerns within defined guidelines.
- May assume additional responsibilities aligned with governance, risk, and control advisory needs.
- Coaches and mentors junior staff to strengthen governance understanding, consistency, and advisory effectiveness across the team.
- Typically, 5 - 7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines, with a strong focus on advisory and oversight activities.
- Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations.
- Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle.
- Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs).
- Strong analytical and critical‑thinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications.
- Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first‑ and second‑line functions.
- Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns.
- Required professional certifications:
- CDMP - Certified Data Management Professional (by DAMA)
- CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)
- Preferred certifications:
- AIGP – Artificial Intelligence Governance Professional (by IAPP)
- ISO/IEC 42001 – AI Lead Auditor/Implementer (by ISO)
- Monday - Friday, 9 am - 5 pm EST
- 100% Remote for US based candidates