Back
Senior, niche AI-transformation programme narrows applicants despite common 'Project Manager' title.
Strong software-delivery and AI-in-SDLC emphasis limits transferability across non-software industries.
Requires 8+ years, mandatory governance and metrics-driven delivery plus specific tooling experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and maintain a detailed, phased programme schedule for AI workforce transformation across software development teams, ensuring milestone adherence and early escalation of variances.
Run governance cadences including weekly status reports, steering committee sessions, phase-exit validations, and enforce strict exit-gate discipline for each programme phase and intervention.
Manage cross-team dependencies, risk registers, intervention backlog and rollout schedules, coordinating enablement activities and reporting programme economics to leadership.
8+ years of experience managing software delivery programmes with formal governance and multi-team coordination, including at least 3 years running multi-team programmes.
Bachelor's degree in Engineering, Computer Science, or related field; MBA and professional certifications (PMP, PRINCE2, PMI-ACP, SAFe) preferred.
Proficiency with delivery toolchains such as Jira/ADO, Git platforms, CI/CD pipelines; ability to interpret delivery data metrics including DORA measurements (lead time, cycle time, deployment frequency, MTTR).
Experience in risk and dependency management, stakeholder communication at steering level, and running change/adoption initiatives with training and usage tracking.
Experienced in managing evidence-gated, metrics-driven transformation programmes within software delivery, with a strong focus on disciplined process enforcement and governance.
Operates with an evidence-first mindset, communicating data-driven insights clearly to leadership and maintaining structured, calm control over multiple concurrent workstreams.
Has familiarity or exposure to AI-assisted engineering tool adoption in software development lifecycle and distributed delivery models, enhancing credibility in AI workforce transformation context.