SB-1470 - Project Manager — AI Workforce Transformation

Softobiz; Ernakulam; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Ownership of transformation project

AI-in-SDLC exposure

Certifications support

Professional development

Job summary

Softobiz is seeking a seasoned Project Manager to lead an AI workforce transformation across the software delivery lifecycle. You will convert a phased, evidence-gated methodology into a dated programme schedule, drive weekly cadences, and ensure exit gates with signed-off deliverables while coordinating with architecture, engineering, security, and finance teams.

You will oversee governance, dependences, and adoption programs, with a metrics-driven approach, working with offshore/captive

Qualifications

• 8+ years of software delivery/programme management experience.
• Experience running multi-team programmes with formal governance.
• Proven track record of time-bound delivery against governance standards.

Responsibilities

• Build and own the programme schedule with phase-wise milestones.
• Run weekly and steering cadence; produce status updates for sponsors.
• Manage exit-gate discipline and frozen baselines for interventions.
• Track cross-team dependencies, risks, and pipeline; maintain risk registers.
• Coordinate enablement events and maintain a single source of truth for decisions.

Skills

Programme Management

Metrics‑Driven Delivery

Change & Adoption

Stakeholder Management

Delivery Toolchains

Risk & Dependency Mgmt

AI‑Assisted Engineering

Distributed Delivery

Agile at Scale

Education

Bachelor's degree in Engineering/CS

8+ years software delivery/PM experience

Track record in governance

Tools

Jira/ADO

Git platforms

CI/CD

Job description

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; elevate 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

• 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.