Job Title:  Director | Managed Analytics, AI Services & DEX | Bengaluru | NAT : Innovation

The team

The team must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.

Key Responsibilities

• Engineering Leadership: Build, lead, mentor, and inspire high-performing engineering teams across multiple product domains.
• Engineering Culture: Establish a culture of engineering excellence, ownership, accountability, collaboration, continuous learning, and continuous improvement.
• Engineering Organization: Build engineering organizations capable of delivering products with startup speed and enterprise-grade quality.
• Leadership Development: Develop engineering leaders and create strong technical career growth pathways.
• Engineering Strategy: Define and execute engineering strategy aligned with product vision and business objectives.
• Modern Engineering: Drive adoption of cloud-native architecture, AI-assisted software development, Platform Engineering, DevSecOps, and SRE.
• Engineering Productivity: Continuously improve developer productivity, software quality, delivery velocity, and operational efficiency.
• Product Delivery: Own end-to-end engineering delivery across multiple products and platforms.
• Delivery Excellence: Ensure predictable, high-quality, and timely product releases.
• Product Partnership: Collaborate with Product Management to align engineering execution with business priorities and customer outcomes.
• Engineering Metrics: Drive execution through measurable delivery and engineering productivity metrics.
• AI-Augmented Engineering: Champion AI-powered engineering tools across development, testing, architecture, operations, documentation, and engineering workflows.
• AI Governance: Establish responsible, secure, and effective AI-assisted engineering practices.
• Technical Leadership: Provide technical direction for large-scale distributed systems and cloud-native platforms.
• Architecture: Guide teams on scalability, resilience, security, observability, performance, and maintainability.
• Platform Strategy: Ensure engineering and architecture decisions align with long-term platform strategy.
• Cross-Functional Leadership: Partner with Product Managers, Architects, UX Designers, Data Scientists, Business Analysts, QA, DevOps, and Security teams.
• Business Alignment: Drive alignment between business strategy, product vision, and engineering execution.
• Engineering Transformation: Lead engineering transformation initiatives across people, processes, technology, and platforms.

Required Skills

• Strong experience leading large software engineering organizations delivering enterprise-grade software products.
• Deep understanding of microservices, distributed systems, event-driven architecture, cloud-native platforms, and API-first design.
• Experience building engineering organizations using Agile and modern product engineering practices.
• Strong coding knowledge in Java, Golang, Rust, or another high-level programming language.
• Strong understanding of DevOps, Platform Engineering, SRE, Infrastructure as Code, CI/CD, and cloud platforms.
• Experience building and scaling engineering teams across multiple product domains.
• Proven ability to lead engineering transformation initiatives.
• Experience implementing AI-assisted software engineering practices and developer productivity platforms.
• Excellent stakeholder management, communication, influencing, and leadership skills.
• Strong business acumen with the ability to balance technical excellence and business priorities.