IND Senior Director, IT Engineering

IND Senior Director, IT Engineering - GCC005
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
We are looking for a highly technical, AI-native Product Engineer who can operate at the intersection of business, technology, customer experience, and modern AI engineering.
This is not a traditional Product Manager role. The ideal candidate must possess deep technical understanding of modern software platforms, cloud-native architectures, APIs, data platforms, AI systems, and agentic workflows. You will work closely with engineering teams and product teams to shape product strategy, define roadmaps, and accelerate execution using AI-augmented product management practices.
You should be comfortable leveraging AI throughout the product lifecycle, including product discovery, requirements generation, backlog management, experimentation, and outcome measurement.
Key Responsibilities
Own product strategy, roadmap, and execution for critical platform capabilities.
Define customer, partner, and operational journeys across multiple digital channels.
Lead product discovery and translate business goals into measurable outcomes.
Partner with software, AI, data, and platform engineering teams to drive delivery.
Design AI-human interaction workflows and decision boundaries.
Define product requirements using outcome-driven approaches.
Build feedback loops from stakeholder interactions, analytics, and operational telemetry.
Use AI tools extensively for research, planning, prioritization, analysis, and product operations.
Drive experimentation and rapid iteration using an evidence-based approach.
Champion Agile product development and modern engineering practices.
Required Qualifications
Bachelor's or Master's degree in Engineering, Computer Science, or related discipline.
Product Management, Product Engineering, or Technical Product Leadership experience.
Strong understanding of software architecture, APIs, cloud-native systems, and distributed applications.
Experience partnering directly with engineering teams to deliver enterprise-scale platforms.
Strong analytical and problem-solving skills.
Experience working in Agile product organizations.
Preferred Qualifications
Experience building AI-enabled products.
Understanding of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and workflow automation.
Experience with insurance or financial services platforms.
Familiarity with modern software engineering and data engineering practices.
Experience using AI copilots and automation tools across product workflows.
Key Skills
Product Strategy
Product Engineering
Agile Delivery
Customer Journey Design
AI-Augmented Product Management
APIs & Platform Thinking
Data-Driven Decision Making
Technical Architecture Awareness
Stakeholder Management
AI Fluency

Work arrangement
No