PC 1470 Project Manager — AI Workforce Transformation
Job Location:
Monthly Salary:
Posted on:
3 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
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 designimplementmeasure 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: Bachelors 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.
Required Experience:
IC
About Company
Softobiz prepares businesses for transformative success by embracing change and engineering innovative digital products.
