SB-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.