Technical Program Manager

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