drjobs Sr Program Manager

Sr Program Manager

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Job Location drjobs

Alameda, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job title: Sr Program Manager - 15 -20 Years experience
Location: Alameda CA (Onsite) Need only locals
Duration: Contract
8 years of experience in program management risk or compliance roles with the background of AI or any kind of governance.
3 Deep understanding of AI/ML technologies and lifecycle including GenAI systems.
2 years of experience in ethical and responsible AI principles (accountability explainability fairness and transperancy)
2 Proven experience with regulatory frameworks especially the EU AI Act NIST AI RMF and OECD AI Principles.
5 Strong background in post-merger integration and process reconciliation.
Excellent communication stakeholder management and change leadership skills.
We are seeking a highly experienced Senior 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.

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.

Employment Type

Full-time

Company Industry

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