Director-Technology

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.