SB-1470 - Project Manager — AI Workforce Transformation

Keka Technologies Private Limited; Ernakulam; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Ownership of high-visibility programme

AI-in-SDLC adoption exposure

Professional development support

Job summary

Keka Technologies Private Limited is seeking an experienced Project Manager to lead an AI workforce transformation programme across software delivery teams. You will create a dated, executable schedule, drive governance cadences, and ensure milestones are met with evidence-backed baselines.

You will coordinate with architecture, engineering, security, and finance to deliver measurable improvements, while maintaining a single source of truth and a transparent backlog for stakeholders.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 8+ years in software delivery / programme management.
• Experience running multi-team programmes with formal governance — gates and steering committees.
• PMI-ACP, SAFe Program Consultant, or equivalent agile-at-scale certification preferred.

Responsibilities

• Build and own the programme schedule: phase-wise milestones for each team.
• Produce the indicative programme timeline within the first 30 days and keep it current.
• Surface variances early and escalate with options; manage risks and blockers across teams.
• Run weekly status to sponsors and steering committee sessions; enforce exit-gate discipline.

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, Computer Science, or related field

MBA is a plus

Tools

Jira

ADO

Git platforms

CI/CD

Job description

SB-1470 - Project Manager - AI Workforce Transformation

10- 12 yrs

Full-Time

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

• 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; escalated 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.
• 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.
• 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

• 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 Skills

Jira pmp Agile Methodologies pmi Project Management Scrum