PC - 1470 - Project Manager — AI Workforce Transformation

Role Summary

We are looking for a dedicated Project Manager to drive an AI workforce transformation programme in a time-bound manner. The programme introduces AI tools and workflow transformations across teams in the software development lifecycle, using a phased, evidence-gated methodology: mobilise, discovery, baseline, solution design, implementation, and measurement — with repeating design–implement–measure cycles per intervention.

This is a governance-heavy, metrics-driven delivery role. You will convert the methodology into a dated, committed programme schedule and hold owners to it; run the weekly and steering cadence; enforce exit-gate discipline (no phase closes without signed-off deliverables, no intervention starts without a frozen, evidence-backed baseline); and give leadership a single, reliable window into progress, risks, and decisions needed. You will work hand-in-hand with the architecture and engineering teams, team leads, tool admins, security/compliance, and finance.

Key Responsibilities

Programme Planning & Schedule

• Build and own the programme schedule: phase-wise, per-team and per-intervention milestones, starting from preliminary discovery data.
• Produce the indicative programme timeline within the first 30 days and keep it continuously current.
• Surface variances early — no silent slippage; escalate ahead of time with options.
  
  

Governance & Cadence

• Run the operating cadence: weekly written status to sponsors, steering committee sessions, phase-exit playbacks with team leads.
• Enforce exit-gate discipline: phases close only on filled, reviewed, signed-off programme templates; interventions start only against a frozen baseline.
• Bring scale / iterate / retire decisions to steering on schedule for every intervention.
  
  

Dependencies, Risks & Pipeline

• Track and clear cross-team dependencies and blockers — team leads, tool admins, security/compliance, finance.
• Maintain the risk and dependency register with weekly refresh.
• Manage the intervention pipeline: prioritised backlog, pilot schedules, rollout waves.
  
  

Adoption & Programme Record

• Coordinate enablement logistics during pilots and rollouts: training sessions, champions, office hours.
• Maintain the single source of truth: versioned template repository, immutable baseline snapshots, decision log.
• Report programme economics with the AI & Architecture team: tool spend, licence utilisation, measured return per intervention.
  
  

Required Technical Skills

Domain Skills & Experience Must / Preferred

Programme Management 8+ years managing software delivery programmes; multi-team initiatives with formal governance, gates and steering committees Must Metrics-Driven Delivery Comfort with DORA/flow metrics (lead time, cycle time, deployment frequency, MTTR); evidence-gated reporting; baseline vs target tracking Must Change & Adoption Running change/adoption programmes — training plans, champions networks, usage instrumentation and tracking Must Stakeholder Management Client leadership and delivery teams; crisp written reporting; steering-level communication Must Delivery Toolchains Jira/ADO, Git platforms, CI/CD — sufficient fluency to interrogate extracted delivery data Must Risk & Dependency Mgmt Cross-team dependency tracking, risk registers, escalation management Must AI-Assisted Engineering Exposure to AI coding assistants, test generation, CI/CD analytics and their rollout dynamics Preferred Distributed Delivery Experience operating in or with offshore / captive-centre delivery models Preferred Agile at Scale Scrum/SAFe / LeSS / multi-squad agile coordination Preferred

Qualifications & Certifications

• Education: Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent); MBA a plus.
• Experience: 8+ years in software delivery / programme management, with at least 3 years running multi-team programmes.
• Track Record: Demonstrated track record of time-bound delivery against formal governance — verifiable through references.
  
  

Preferred Certifications

• PMP / PRINCE2 Practitioner
• PMI-ACP, SAFe Program Consultant, or equivalent agile-at-scale certification
  
  

Soft Skills & Cultural Fit

• Evidence-First Mindset: Insists on data over anecdote, and comfortable telling leadership what the numbers actually say.
• Firm on Process, Collaborative in Style: Can enforce gates without alienating delivery teams.
• Calm, Structured Operator: Manages concurrent workstreams with strong prioritisation under pressure.
• Excellent Written Communication: Weekly status and steering packs are core deliverables of this role.
• Change-Management Sensitivity: Teams must experience the programme as enablement, not surveillance.
  
  

What We Offer

• Ownership of a high-visibility, leadership-sponsored transformation programme from its foundation.
• Direct exposure to AI-in-SDLC adoption at enterprise scale — one of the most in-demand delivery specialisations.
• Work alongside a dedicated AI and architecture practice with a defined, evidence-gated methodology.
• Competitive compensation with a structured performance review process.
• Professional development support — certifications, conferences, and emerging tooling.