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Senior role, niche AI-transformation focus and smaller employer reduce applicant density.
Strong programme management skills transfer, but AI-SDLC and adoption experience raises domain specificity.
Explicit 8+ years, mandatory governance and verifiable track record increase screening rigor.
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Own end-to-end programme scheduling and delivery for an AI workforce transformation applying a phased, evidence-gated methodology across software development teams.
Enforce governance discipline including phase-exit gate approvals, stakeholder cadence management (weekly reports, steering committees), and risk/dependency tracking with escalations.
Coordinate cross-team dependencies, adoption logistics, and maintain comprehensive programme records including metrics, decisions, and economic reporting.
8+ years of experience managing software delivery programmes, including multi-team initiatives with formal governance and steering.
Bachelor's degree in Engineering, Computer Science, or related field; MBA is a plus.
Demonstrated experience delivering time-bound programmes under formal governance, verifiable via references.
Mandatory skills: Metrics-driven delivery (DORA/flow metrics), change/adoption programmes, stakeholder management, Jira/ADO/Git/CI-CD tool fluency, risk and dependency management.
Experienced programme manager with a track record of enforcing disciplined, metrics-based governance and phased delivery in complex software or technology transformation projects.
Operates confidently with multi-stakeholder governance structures including steering committees and escalates risks proactively.
Comfortable working jointly with architecture, engineering, security, finance teams to drive adoption and maintain a single source of truth for programme data and decisions.