Location: Noida, India
Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.
Engineering Delivery Manager – Identity Platform (AI-Driven SDLC)
Overview
We are looking for an Engineering Delivery Manager to lead delivery across multiple squads building and evolving a cloud-native Identity Platform . You will drive predictable outcomes , high engineering quality , and adoption of our AI-driven SDLC —improving speed , reliability , and compliance through modern ways of working.
You will lead a delivery organisation of ~20 engineers , shaping squads around product priorities , coaching delivery discipline , and ensuring teams use AI tooling (coding, test generation, documentation, triage) to raise throughput and quality .
Partner with Product , Architecture , Security and Platform stakeholders to translate roadmap intent into executable plans , manage dependencies and risks , and deliver measurable outcomes .
This is a hands-on leadership role focused on delivery excellence and AI-enabled transformation .
Key Responsibilities
Own end-to-end delivery across multiple squads (scope, plan, dependencies, risks, and outcomes).
Lead, coach and develop ~20 engineers; set clear expectations and give timely feedback.
Establish delivery discipline : predictable cadence, transparent reporting, and continuous improvement.
Champion an AI-first engineering culture ; ensure AI tooling is used safely and effectively.
Ensure engineering excellence : quality, security, reliability, and operability by design.
AI-Driven SDLC & Transformation
Embed our AI-driven SDLC (AI-assisted design, coding, testing, documentation, and release readiness) into day-to-day delivery.
Drive adoption of AI ways of working (guardrails, playbooks, and training) in partnership with Enablement/Architecture.
Measure impact and improve (cycle time, defect escape rate, automation coverage, and developer experience) and act on insights.
Ensure responsible use of AI aligned to security , privacy , and compliance expectations.
Delivery Execution
Shape and adjust squads based on roadmap priorities, skills, and capacity.
Run planning and execution rituals ; manage dependencies and cross-team alignment.
Remove impediments , manage delivery risk early, and drive predictable releases .
Use metrics to improve flow efficiency, quality, and operational readiness.
Stakeholder Partnership
Partner with Product to clarify scope, acceptance criteria, and success metrics.
Provide clear delivery commitments , trade-offs, and status— no surprises .
Align with Architecture/Security/Operations to ensure designs are scalable and compliant.
People, Talent & Operations
Hire and retain diverse talent ; build…