Job Title: Lead Engineer

Corporate Title: Director

Location: Pune, India

Role Description

• We are seeking a delivery-focused Director with a strong understanding of the engineering landscape, agile execution, and stakeholder management. This role is responsible for end-to-end delivery outcomes, ensuring teams operate effectively across modern technology stacks, while leveraging AI and automation to improve speed, quality, and predictability. The role requires engineering fluency rather than hands-on expertise, the ability to ask the right questions, evaluate trade-offs, and guide teams toward sound technical decisions.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

• Best in class leave policy.
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

Delivery & Execution Excellence

• Own end-to-end delivery of large, cross-functional programs with accountability for timelines, quality, cost, and risk.
• Drive predictable delivery using Agile and hybrid delivery models, focusing on outcomes over process.
• Anticipate delivery risks early and ensure timely mitigation.
• Define and track delivery and engineering health metrics (flow, predictability, stability, and business impact).

Engineering Landscape & Technology Oversight

• Partner effectively with architects and senior engineers to ensure solutions are scalable, secure, and operable.
• Ensure adherence to engineering standards, governance, and best practices.

Agile & Operating Model Leadership

• Champion Agile principles with a delivery-first mindset, avoiding unnecessary ceremony.
• Align teams on planning, dependency management, and execution across portfolios.
• Drive continuous improvement using data, retrospectives, and delivery insights.
• Lead multiple tribes deliveries.

Stakeholder & Executive Management

• Act as the primary interface between business, product, engineering, risk, and operations stakeholders.
• Communicate delivery status, risks, and trade-offs in a clear, executive-ready manner.
• Build trust through transparency, consistency, and dependable execution.

AI & Intelligent Enablement

• Identify practical opportunities to use AI/GenAI and automation to improve engineering productivity, quality, and operational efficiency.
• Ensure responsible AI adoption aligned with governance, security, and risk frameworks.
• Support teams in embedding AI-assisted tooling into delivery and decision-making processes.
• Familiarity with AI-assisted engineering tools (e.g., code assistants, test generation, documentation, analytics).
• Understanding of AI system lifecycle: data readiness, model training vs. consumption, deployment, monitoring, and drift.
• Awareness of responsible AI principles, including data privacy, bias, explainability, security, and regulatory considerations.
• Experience partnering with data science, AI engineering, and platform teams to deliver AI enabled outcomes.
• Exposure to enterprise GenAI platforms, LLM-based tools, or intelligent automation initiatives.
• Ability to guide teams on pragmatic adoption of GenAI without disrupting delivery or increasing operational risk.

People & Culture

• Lead and develop engineering managers and delivery leaders, fostering accountability and ownership.
• Create a culture focused on execution excellence, collaboration, and continuous learning.

Your skills and experience

• 18+ years of experience in technology delivery and leadership, with significant time at Director or equivalent level.
• Strong understanding of modern engineering ecosystems (cloud, distributed systems, DevOps, data platforms).
• Proven success delivering large-scale, multi-team initiatives.
• Deep experience operating in Agile enterprise environments.
• Excellent stakeholder, executive communication, and influence skills.
• Working knowledge of AI/ML and GenAI concepts, applications, and governance considerations.
• Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously.

How we’ll support you

• Training and development to help you excel in your career.
• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.