AI Product Manager

AI Product Manager — Abu Dhabi, UAE

AI Product Manager

• who will take end-to-end ownership of a "GameChangingAI" portfolio — driving productization in partnership with one of the world's top-tier technology delivery partners.
• This is a senior role reporting to the Head of Digital & AI, with real decision rights at governance gates and direct accountability for value realization.
• What you'll own:
• Define and own product vision, strategy, and multi-release roadmaps tied to OKRs and value hypotheses.
• Establish the full product operating model: discovery → build → adopt → operate, including stage-gates and acceptance criteria.
• Partner with Architecture and Governance on patterns for RAG, agents, ML models, and ERP/AMOS/enterprise integrations.
• Own business casing, pricing and benefit models, and post-launch value tracking; publish executive readouts to senior leadership.
• Lead backlog prioritization, release planning, and cross-vendor squad coordination; resolve impediments rapidly.
• Institutionalize Responsible AI and security-by-design in partnership with AI Security & Governance.
• Mentor PMs and POs; uplift product management maturity across the group.
• Run a quarterly AI portfolio governance cadence with business teams and the delivery partner to confirm value-stream prioritization, funding alignment, and roadmap trade-offs.
• Define and enforce operational acceptance criteria (SLOs/SLAs, monitoring, runbooks, access model, DR expectations) in partnership with Run & Operate before production go-live.
• Make stage-gate decision rights explicit — the client is the final approver at governance gates; the delivery partner is accountable for delivery artefacts and evidence packs.
• What you bring:
• 12–14 years in product management, with at least 5 years building AI/data products in enterprise contexts.
• Demonstrable evidence of shipping and scaling core AI products (ML / NLP / GenAI) with measurable business impact.
• Bachelor's or Master's in Engineering, Computer Science, or Business.
• Core skills and competencies required:
• Product strategy, market and problem discovery, roadmap and OKRs, stakeholder storytelling.
• Backlog management, release governance, and quantitative value management.
• Strong technical fluency across Azure AI/ML, data platforms, and security & compliance (Purview, Entra).
• Contracting and SOWs, vendor orchestration, and budget/FinOps.
• Executive communication — able to translate between boardroom and engineering squad.
• Required certifications
• PMP (or equivalent Prince2), or PMI Certified Professional in Managing AI (PMI-CPMAI)
• Agile/Scrum product certification: PSPO, CSPO, or SAFe POPM
• Preferred certifications:

• Microsoft Azure Fundamentals (AZ-900)

• Azure AI Engineer (AI-102) or Azure Solutions Architect (AZ-305)

Experience

Salary Range