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
