Posted 28 May, 2026
Program Manager AI Governance Enablement
Amazon
IN, TS, Hyderabad
Full Time
Reference: 71_457715_324acddb-1bc5-476f-a18a-552bc0ccfedb
Program Manager, AI Governance Enablement
External Job Description
Finance Operations (FinOps) is seeking an L5 Program Manager to lead AI Governance Enablement across FinOps Service Centers (SCs). This role will design and operationalize governance frameworks that ensure AI solutions built by employees move from prototype to production responsibly - meeting security, compliance, and data privacy standards without slowing innovation. This role requires someone who can build structure where none exists, translate complex regulatory requirements into actionable guidance, and serve as the bridge between builders and governance teams.
You will own the governance enablement pipeline - tracking solutions from ideation through formal sign-off, building self-service toolkits that help builders get it right the first time, and partnering with FinOps Risk Governance (FORGE) and Controllership teams to ensure every solution meets the bar before deployment. Success is measured not by how many solutions you block, but by how many you help clear - faster, with fewer iterations, and with full compliance intact.
Key Job Responsibilities
Governance Enablement & Frameworks
Design and maintain governance enablement frameworks that guide employees from prototype to production-ready solutions, reducing rework and accelerating time-to-clearance
Build self-service toolkits, checklists, and playbooks that help builders understand what "good" looks like before they submit for formal review
Create role-specific governance guidance for different solution types (automation, agentic AI, data-driven tools) across regulatory environments
Partnership with Amazon Responsible AI / FORGE / Controllership
Serve as the operational bridge between builders and FORGE - ensuring solutions arrive at review well-prepared and complete
Maintain regular cadence with Amazon Responsible AI and FORGE teams to stay current on evolving standards, policy updates, and compliance requirements
Identify patterns in review feedback and work with FORGE to create scalable solutions that address recurring gaps
Risk Visibility & Monitoring
Own the AI solution risk register - tracking all active prototypes, their governance status, risk classification, and deployment readiness
Build and maintain governance dashboards that provide leadership with real-time visibility into pipeline health, clearance rates, and compliance posture
Conduct periodic risk assessments across deployed solutions and flag emerging concerns before they become incidents
Governance Awareness & Culture
Drive governance awareness programs that help employees understand why governance exists and how to work with it - not around it
Support AI Prototyping Camps with on-the-ground governance guidance, helping builders embed compliance from day one
Translate regulatory requirements (DPDP Act, EU AI Act, SOX) into plain-language guidance that non-technical employees can act on
Measurement & Continuous Improvement
Define and track governance KPIs: time-to-clearance, first-pass approval rate, unreviewed deployment count, risk register coverage
Conduct quarterly governance maturity assessments and recommend improvements to frameworks based on builder feedback and review outcomes
Establish feedback loops between builders, governance reviewers, and program leadership to continuously improve the enablement experience
Basic Qualifications
8+ years of professional experience with 5+ years in program management, governance, risk management, or compliance roles
Demonstrated ability to build frameworks and processes from scratch in ambiguous environments
Working knowledge of AI/ML fundamentals and responsible AI principles
Experience managing cross-functional stakeholder relationships and influencing without direct authority
Strong documentation, communication, and data analysis skills
Background in finance operations, shared services, or similar operational environments preferred
Preferred Qualifications
Experience working with global cross-functional teams across multiple time zones
Familiarity with DPDP Act 2023, EU AI Act, NIST AI RMF, or ISO/IEC 42001
Certification in risk management (CRISC, CISM), privacy (CDPSE), or project management (PMP, Agile)
Experience with Amazon Q, Bedrock, or low-code AI platforms
Track record of operationalizing governance for a function that previously had no formal framework
SOX compliance exposure, particularly related to AI-augmented financial processes
MBA or advanced degree in Business, Technology, Risk Management, or related field
External Job Description
Finance Operations (FinOps) is seeking an L5 Program Manager to lead AI Governance Enablement across FinOps Service Centers (SCs). This role will design and operationalize governance frameworks that ensure AI solutions built by employees move from prototype to production responsibly - meeting security, compliance, and data privacy standards without slowing innovation. This role requires someone who can build structure where none exists, translate complex regulatory requirements into actionable guidance, and serve as the bridge between builders and governance teams.
You will own the governance enablement pipeline - tracking solutions from ideation through formal sign-off, building self-service toolkits that help builders get it right the first time, and partnering with FinOps Risk Governance (FORGE) and Controllership teams to ensure every solution meets the bar before deployment. Success is measured not by how many solutions you block, but by how many you help clear - faster, with fewer iterations, and with full compliance intact.
Key Job Responsibilities
Governance Enablement & Frameworks
Design and maintain governance enablement frameworks that guide employees from prototype to production-ready solutions, reducing rework and accelerating time-to-clearance
Build self-service toolkits, checklists, and playbooks that help builders understand what "good" looks like before they submit for formal review
Create role-specific governance guidance for different solution types (automation, agentic AI, data-driven tools) across regulatory environments
Partnership with Amazon Responsible AI / FORGE / Controllership
Serve as the operational bridge between builders and FORGE - ensuring solutions arrive at review well-prepared and complete
Maintain regular cadence with Amazon Responsible AI and FORGE teams to stay current on evolving standards, policy updates, and compliance requirements
Identify patterns in review feedback and work with FORGE to create scalable solutions that address recurring gaps
Risk Visibility & Monitoring
Own the AI solution risk register - tracking all active prototypes, their governance status, risk classification, and deployment readiness
Build and maintain governance dashboards that provide leadership with real-time visibility into pipeline health, clearance rates, and compliance posture
Conduct periodic risk assessments across deployed solutions and flag emerging concerns before they become incidents
Governance Awareness & Culture
Drive governance awareness programs that help employees understand why governance exists and how to work with it - not around it
Support AI Prototyping Camps with on-the-ground governance guidance, helping builders embed compliance from day one
Translate regulatory requirements (DPDP Act, EU AI Act, SOX) into plain-language guidance that non-technical employees can act on
Measurement & Continuous Improvement
Define and track governance KPIs: time-to-clearance, first-pass approval rate, unreviewed deployment count, risk register coverage
Conduct quarterly governance maturity assessments and recommend improvements to frameworks based on builder feedback and review outcomes
Establish feedback loops between builders, governance reviewers, and program leadership to continuously improve the enablement experience
Basic Qualifications
8+ years of professional experience with 5+ years in program management, governance, risk management, or compliance roles
Demonstrated ability to build frameworks and processes from scratch in ambiguous environments
Working knowledge of AI/ML fundamentals and responsible AI principles
Experience managing cross-functional stakeholder relationships and influencing without direct authority
Strong documentation, communication, and data analysis skills
Background in finance operations, shared services, or similar operational environments preferred
Preferred Qualifications
Experience working with global cross-functional teams across multiple time zones
Familiarity with DPDP Act 2023, EU AI Act, NIST AI RMF, or ISO/IEC 42001
Certification in risk management (CRISC, CISM), privacy (CDPSE), or project management (PMP, Agile)
Experience with Amazon Q, Bedrock, or low-code AI platforms
Track record of operationalizing governance for a function that previously had no formal framework
SOX compliance exposure, particularly related to AI-augmented financial processes
MBA or advanced degree in Business, Technology, Risk Management, or related field
