1. Role Summary

Lead enterprise transformation using GenAI & Agentic AI, driving shift to AI first, autonomous operations with measurable business outcomes
Own end-to-end lifecycle from strategy → operationalization → scaled adoption, ensuring enterprise-wide value realization

2. Key Responsibilities

a. Transformation Program Leadership

Drive end-to-end AI-led digital/process transformation and define AI first Target Operating Models
Deliver measurable outcomes across cost, productivity, cycle time, and customer experience

b. GenAI & Agentic AI Strategy

Identify and prioritize high-value AI transformation use cases (copilots, agentic workflows, decisioning)
Enable evolution from human-in-loop → semi-autonomous → fully autonomous enterprise operations

c. Operationalizing AI with Delivery Teams

Embed AI into delivery workflows, integrating with enterprise systems and establishing run models, SLAs, and continuous improvement loops
Drive POC → pilot → industrialization → scale, with playbooks for repeatable deployment across delivery environments

d. Adoption & Change Management

Navigate adoption challenges (resistance, skills gaps, integration complexity) and drive enterprise-wide adoption strategy
Track and optimize adoption KPIs (usage, productivity, ROI) through governance, training, and stakeholder alignment

e. Technical Program Management

Lead execution across architecture, engineering, deployment, and scaling for GenAI and agentic solutions
Manage cross-functional teams and ensure Agile/product-led delivery with quality, velocity, and risk control

f. Value Realization & Governance

Define and track business KPIs and value realization (cost savings, productivity, automation levels)
Ensure responsible AI governance (security, compliance, explainability, risk management)

g. Go to Market & Portfolio expansion

Drive opportunity mapping across portfolios/accounts and support pre-sales, solutioning, and client engagement
Scale solutions through reusable assets, cross-portfolio adoption, and repeatable transformation models

h. Stakeholder Engagement

Act as trusted advisor to client and delivery leadership, leading executive governance and steering forums
Bridge business, technology, and operations to align strategy with execution and adoption

3. Qualifications

a. Experience & Technical

10+ years in process/digital transformation and program management, with proven experience in scaling AI/automation initiatives in enterprise environments
2+ years of hands-on understanding of GenAI/LLMs, agent frameworks, cloud platforms, and enterprise integration architectures.

b. Leadership & Delivery

Expertise in Agile/product-led delivery with experience managing global, cross-functional teams
Strong stakeholder management, problem-solving, and executive communication skills

Technical Program Manager - AI & Digital Transformation