Description

Key Responsibilities

• Own end-to-end delivery, P&L, and customer success across a portfolio of strategic accounts,

driving transformation, operational excellence, and sustainable growth

• Lead modern engineering execution across web platforms, and native/cross-platform mobile

apps; drive composable and API-first architectures where appropriate.

• Embed AI-assisted engineering into day-to-day delivery: define guardrails, workflows, and quality

gates for tools such as GitHub Copilot, Copilot Studio, Claude/LLM copilots, and automated code

review/testing assistants.

• Operationalize agentic delivery patterns such as: multi-agent planning, coding, testing,

documentation, and operationalization to improve throughput and reduce defects while maintaining

security and compliance.

• Establish governance constructs such as: Steering Committees, weekly status, Risk Assumptions

Issues and Dependencies, release readiness, etc. and drive transparency on risks, dependencies,

and decisions across onshore/offshore teams.

• Drive customer-centric outcomes: define success metrics (time-to-value, adoption, performance,

reliability) and connect technical delivery to business value.

• Partner with sales & solutioning to scope solutions, contribute to proposals/SOWs, estimate

delivery plans, and identify AI-led accelerators to differentiate the offering.

• Build and mentor teams of engineering leads, architects, scrum masters, QA, DevOps and

strengthen capabilities and foster a growth-environment through coaching, hiring, and upskilling in

AI and cloud-native practices.

• Ensure engineering excellence: enforce standards for secure coding, accessibility, observability,

CI/CD, and production operations (SRE-minded delivery).

Technology & AI Focus Areas

• Cloud-native: Microservices, container platforms (Docker/Kubernetes), serverless patterns, eventdriven

architectures; AWS/Azure/GCP.

• Web & front-end: React/Next.js, Angular/Vue (as needed), TypeScript, design systems, component

libraries, accessibility (WCAG), performance optimization.

• Mobile: React Native and/or native iOS/Android; mobile CI/CD, app store release management,

security and performance.

• Back-end: Java/Spring Boot, .NET, Node.js; API management (REST/GraphQL), integration patterns,

caching, messaging.

• DevOps & quality: CI/CD pipelines, infrastructure as code, automated testing (unit/integration/e2e),

SAST/DAST, observability (logs/metrics/traces).

• AI-enabled SDLC: AI pair-programming, AI test generation, automated documentation, agentic

workflows for planning/coding/testing, and pragmatic governance (human-in-the-loop, auditability).

Required Qualifications

• 15+ years of experience delivering enterprise software programs with P&L responsibilities, including

7+ years leading large, multi-team engagements (onshore/offshore) and influencing outcomes in a

matrixed environment.

• Proven track record delivering cloud-native and/or mobile-first products at scale, including complex

integrations and multi-release roadmaps.

• Strong program/portfolio governance experience: executive reporting, risk/issue management,

dependency orchestration, and financial stewardship (budgeting, forecasting, margin awareness).

• Hands-on technical depth sufficient to guide architecture decisions, engineering standards, and

delivery trade-offs; able to engage credibly with architects and senior engineers.

• Experience adopting modern delivery methods (Agile/Scrum, DevOps, CI/CD) and building highperforming,

accountable teams.

• Executive stakeholder leadership: ability to build trust with senior client leaders

(Directors/VPs/CXOs), translate business goals into roadmaps, and drive alignment and decisionmaking

through ambiguity.

• Bachelor’s degree in Engineering/Computer Science (or equivalent practical experience); relevant

certifications are a plus.

Preferred Skills

• Experience institutionalizing AI-assisted engineering (e.g., GitHub Copilot) with measurable

productivity/quality outcomes and responsible use guardrails.

• Exposure to agentic AI concepts and workflow orchestration; ability to evaluate tooling and design

repeatable delivery playbooks.

• Background in platform ecosystems relevant to Experience (e.g., Microsoft 365/Copilot, Adobe,

Sitecore, Optimizely, ServiceNow) and associated integration patterns.

• Strong understanding of security, privacy, and data protection practices in enterprise delivery;

familiarity with threat modelling and secure SDLC.

• Experience in regulated industries (financial services, healthcare, insurance, retail) and working with

strict compliance requirements.

What Success Looks Like

• Programs delivered with predictable outcomes: improved release cadence, reduced defect leakage,

and strong stakeholder satisfaction.

• AI-assisted engineering adoption with clear governance and measurable benefits (cycle-time

reduction, increased test coverage, improved developer experience).

• Stronger reusable accelerators and patterns across Core Native delivery (templates, reference

architectures, CI/CD blueprints).

• Healthy teams: clear role clarity, coaching culture, improved retention, and a strong leadership

pipeline.

• Demonstrated business impact for clients (time-to-value, adoption, performance, and cost-to-serve

improvements).

About Genpact

Genpact is an advanced technology services and solutions company helping enterprises

accelerate transformation through data, technology, and AI. Within Genpact, the

Experience capability brings strategy, human-centered design, and engineering together

inside core enterprise platforms to drive adoption and measurable outcomes. This role sits

at the intersection of experience engineering and AI-first delivery—helping clients

modernize products and platforms while scaling responsible, repeatable AI-enabled ways

of working.