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Senior Project Manager
3 hours ago
Job Summary
The
AI Governance Project Manager (PM)
is responsible for overseeing the design, development, implementation, and ongoing management of the organization's AI governance framework. This role ensures that artificial intelligence systems are deployed
ethically, responsibly, securely, and in compliance with applicable regulatory, legal, and risk-management standards
.
The AI Governance PM will work closely with business, technology, risk, legal, compliance, and data teams to align AI initiatives with organizational objectives and governance requirements, while proactively identifying and mitigating AI-related risks.
Key Responsibilities
- Lead the
development and implementation of AI governance frameworks
, policies, standards, and procedures to guide ethical and responsible use of AI technologies. - Manage end-to-end
AI governance projects
, including planning, scheduling, budgeting, risk management, and reporting. - Coordinate
cross-functional teams
(Technology, Data Science, Risk, Legal, Compliance, Privacy, Security, and Business stakeholders) to ensure alignment with governance standards and business goals. - Ensure AI initiatives comply with
regulatory requirements
, internal risk policies, privacy laws, data protection standards, and emerging AI regulations. - Identify, assess, and document
AI-related risks
(ethical, operational, legal, security, bias, model risk, and reputational) and implement mitigation strategies. - Establish and maintain
AI transparency, accountability, and explainability practices
, including documentation, model governance, and decision-traceability standards. - Oversee governance artifacts such as
risk assessments, model inventories, approval workflows, audit documentation, and control evidence
. - Support AI lifecycle governance, including
model development, validation, deployment, monitoring, and retirement
. - Act as a key liaison between
executive leadership and delivery teams
, providing clear status updates, risk reporting, and recommendations. - Monitor industry trends, regulatory developments, and best practices related to
AI ethics, governance, and responsible AI
.
Required Qualifications
- Bachelor's degree in
Computer Science, Information Systems, Engineering, Business, or a related field
(Master's degree preferred). - 8+ years of project management experience
, with demonstrated experience delivering complex technology or governance initiatives. - Strong experience working in
regulated environments
(banking, financial services, insurance, healthcare, or government preferred). - Solid understanding of
AI/ML concepts
, data governance, model risk management, privacy, and information security principles. - Proven ability to manage
cross-functional stakeholders
and drive consensus across technical and non-technical teams. - Strong experience with
project governance, risk management, and regulatory compliance frameworks
. - Excellent communication, documentation, and executive presentation skills.
Preferred Qualifications
- Experience leading or supporting
AI governance, model risk, data governance, or responsible AI programs
. - Familiarity with AI-related regulations and frameworks (e.g., model risk management, ethical AI principles, emerging AI regulations).
- PMP, PgMP, or Agile certifications preferred.
- Experience working with
enterprise PMO, risk, compliance, or audit teams
.
Key Competencies
- AI Governance & Ethics
- Regulatory & Risk Management
- Stakeholder & Executive Management
- Cross-Functional Team Leadership
- Policy & Framework Development
- Program / Project Delivery (Agile & Waterfall)
- Strong Analytical & Decision-Making Skills