Head - Digital Engineering

Position: Head of Digital Engineering India

Role Overview:

The Head of Digital Engineering India is responsible for leading the organization's India engineering hub, driving execution excellence, delivery velocity, and engineering quality across Digital & Technology initiatives.

This leader will establish India as a strategic global engineering center, delivering Finance technology solutions, AI-powered platforms, and enterprise digital products at scale while building a high-performing engineering organization focused on innovation, operational excellence, and talent development.

Key Responsibilities:

Build India as a Global Engineering Hub:

- Lead end-to-end engineering execution for Finance platforms, AI initiatives, and enterprise digital products from India.

- Scale the India engineering organization while ensuring predictable delivery, high engineering standards, and strong organizational capability.

- Position India as a strategic product engineering center rather than an offshore execution team.

Finance & AI Product Engineering:

- Partner with Product leaders to build and scale enterprise Finance applications.

- Drive engineering execution for AI platforms, machine learning enablement, data engineering, and applied AI solutions across business functions.

- Deliver secure, scalable, and business-focused technology solutions aligned with enterprise architecture and governance.

Engineering Excellence:

- Establish engineering best practices, development standards, and delivery governance.

- Improve software quality, engineering productivity, release predictability, and operational excellence.

- Drive continuous improvement across engineering processes, DevOps, testing, and automation.

- Manage engineering capacity planning, squad allocation, delivery commitments, and performance.

Leadership & Talent Development:

- Lead the India Digital Engineering organization and develop a strong leadership pipeline.

- Build and mentor Engineering Directors, Senior Engineering Managers, and technical leaders.

- Drive hiring, employee engagement, retention, leadership development, and succession planning.

- Partner with Talent Acquisition and HR to strengthen campus hiring, lateral recruitment, and leadership programs.

Cross-functional Collaboration:

- Collaborate closely with Product Management, Digital Engineering, Data & AI, Enterprise Architecture, Infrastructure, Security, and Operations teams.

- Build strong partnerships with global stakeholders and leadership teams.

- Provide transparent delivery updates, proactively manage risks, and ensure alignment across distributed teams.

Areas of Ownership:

- Enterprise Digital Engineering

- AI & Applied Engineering

- Software Engineering

- Full Stack Development

- API & Integration Engineering

- Test Engineering & Quality Assurance

- Automation & RPA

- Engineering Leadership

- Talent Management

- Delivery Management

- Engineering Operations

- Squad Planning & Staffing

Success Measures:

- Successfully scale the India engineering organization while maintaining strong leadership depth and high employee retention.

- Deliver multiple enterprise Finance products with measurable business adoption.

- Enable impactful AI capabilities across business functions.

- Improve engineering velocity, software quality, release predictability, and operational efficiency.

- Build India into a high-performing global engineering and innovation hub.

Desired Profile:

- 12+ years of experience leading large-scale software engineering or digital technology organizations.

- Proven success in building and scaling engineering teams in India.

- Strong background in enterprise software delivery and digital product development.

- Experience leading global engineering teams in product-driven organizations.

- Demonstrated expertise in engineering leadership, organizational scaling, and talent development.

- Experience delivering Finance technology platforms or enterprise business applications.

- Exposure to AI, machine learning, data platforms, or intelligent automation initiatives.

- Strong stakeholder management experience across global leadership teams.

- Experience working in distributed, multi-region engineering environments.

(ref:hirist.tech)