AI Product Manager

Client of Faze 3 Consulting

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.

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.