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

Key Responsibilities

• Engineering Leadership: Build, lead, mentor, and scale high-performing engineering teams across multiple product domains.
• Engineering Culture: Establish a culture of engineering excellence, ownership, accountability, collaboration, and continuous improvement.
• Engineering Strategy: Define and execute engineering strategy aligned with product vision and business objectives.
• Engineering Practices: Drive adoption of cloud-native, DevSecOps, Platform Engineering, SRE, Infrastructure as Code, and modern engineering practices.
• Product Delivery: Own end-to-end engineering delivery and ensure predictable, high-quality, and timely product releases.
• Product Partnership: Partner with Product Management to align engineering execution with business priorities and customer outcomes.
• AI-Augmented Engineering: Drive adoption of AI-powered tools across development, testing, architecture, operations, documentation, and engineering workflows.
• AI Governance: Establish secure, responsible, and effective AI-assisted engineering practices.
• Technical Leadership: Provide technical direction across distributed systems, microservices, event-driven architecture, cloud platforms, scalability, resilience, security, and observability.
• Platform Engineering: Build scalable engineering platforms and improve developer productivity, automation, reliability, and operational efficiency.
• Engineering Metrics: Define and track engineering productivity, delivery, quality, reliability, security, and operational metrics.
• Engineering Governance: Establish engineering standards, architecture practices, technical governance, and reporting mechanisms.
• Cross-functional Leadership: Collaborate with Product, Architecture, UX, Data, QA, DevOps, Security, Business, and Operations teams.
• Engineering Transformation: Lead initiatives to modernize technology, processes, engineering practices, and organizational capabilities.
• People Development: Develop engineering managers, architects, and technical leaders and create strong career growth pathways.
• Business Alignment: Balance technical excellence, customer needs, delivery commitments, cost, security, and business priorities.

Required Skills

• Engineering Leadership: Strong experience leading large software engineering organizations and multiple product teams.
• Architecture: Strong knowledge of microservices, distributed systems, event-driven architecture, cloud-native platforms, and API-first design.
• Programming: Strong coding knowledge in Java, Golang, Rust, or another high-level programming language.
• Cloud & DevOps: Strong understanding of cloud platforms, DevOps, Platform Engineering, SRE, CI/CD, and Infrastructure as Code.
• Agile: Experience building engineering organizations using Agile and modern product engineering practices.
• Transformation: Proven experience leading engineering transformation initiatives.
• AI Engineering: Experience implementing AI-assisted software development and developer productivity practices.
• Team Scaling: Experience building and scaling engineering teams across multiple product domains.
• Leadership: Excellent people leadership, stakeholder management, communication, and influencing skills.
• Business Acumen: Ability to balance technical excellence with business priorities and customer outcomes.