We are seeking a highly experienced Program Manager to lead and evolve our enterprise-wide AI Governance strategy. This role is critical in ensuring our AI systems are developed and deployed responsibly ethically and in compliance with global regulations-especially the EU AI Act. You will play a key role in reconciling governance processes following our recent acquisition of Juniper aligning their AI governance practices with ours and integrating them into our existing Architecture Review (ARV) workflows.
Experience/Skills
- 8 years of experience in Program/Project Management risk or compliance roles with the background of AI or any kind of governance
- 3 years of Deep understanding of AI/ML technologies and lifecycle including Gen AI systems
- 2 years of experience in ethical and responsible AI Principles (accountability explain-ability fairness and transparency)
- 2 years of proven experience with Regulatory Frameworks especially the EU AI Act NIST AI RMF and OECD AI Principles
- 5 years of strong background in post-merger integration (M&A) and process reconciliation
- Excellent communication stakeholder management and change leadership skills
Key Responsibilities
- AI Governance Leadership Develop implement and maintain a robust AI governance framework aligned with regulatory ethical and business standards
- EU AI Act Compliance Lead readiness and compliance efforts including risk classification documentation and conformity assessments
- Post-Acquisition Integration Reconcile Junipers AI governance processes with existing frameworks identifying overlaps and harmonizing workflows
- Architecture Review Alignment Integrate AI governance reviews with the ARV process to ensure streamlined oversight and reduced duplication
- Risk Management Oversee AI risk assessments model inventories and validation processes across business units
- Stakeholder Collaboration Partner with legal compliance engineering and product teams to embed governance into the AI/ML lifecycle
- Training & Awareness Develop and deliver training programs on responsible AI practices and regulatory requirements
- Metrics & Reporting Define KPIs and reporting mechanisms to measure governance effectiveness and drive continuous improvement
- Enhancement of AI Intake Process and reconciliation with other processes (Agentic ERAG and existing workflows such as ARB)
- AI Use Case Inventory Tracking status and implementing closed-loop reporting; AI Governance Mailbox Support