IND Sr Director, Data - GCC129

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.

Role Overview

We are seeking a highly accomplished Data & AI Leader to drive enterprise-scale AI transformation, Generative AI initiatives, and data-driven innovation. This role requires a strong blend of technical expertise, business acumen, leadership, and revenue ownership, with experience in delivering measurable business outcomes through AI solutions.

The ideal candidate will have a proven track record in building AI practices, leading global teams, driving GTM strategies, and achieving revenue or cost optimization goals through AI-led transformation.

Key Responsibilities

1. AI Strategy & Transformation

- Define and execute enterprise-wide AI and Data strategy aligned with business objectives
- Lead Generative AI and Agentic AI initiatives across functions
- Drive digital transformation through adoption of AI/ML, cloud, and data platforms
- Build reusable AI accelerators, frameworks, and assets

2. Business Impact & Revenue Ownership

- Drive revenue generation through AI-led solutions, GTM strategies, and innovation programs
- Own and contribute to pre-sales, RFP responses, and solution positioning
- Deliver measurable business outcomes such as:
- Revenue growth
- Cost savings
- Productivity optimization

- Partner with leadership and stakeholders to identify AI opportunities and scale solutions

3. Leadership & Team Management





- Build and lead high-performing global teams (50–100+ members)
- Mentor data scientists, ML engineers, and AI specialists
- Establish Centers of Excellence (CoE) for AI and analytics
- Drive cross-functional collaboration across geographies

4. Solution Design & Delivery

- Architect and deliver end-to-end AI/ML solutions across domains
- Implement advanced analytics use cases such as:
- Customer analytics & personalization
- Fraud detection, AML, KYC
- Lead scoring, segmentation, and sales optimization
- Forecasting, anomaly detection, and automation

- Ensure scalable deployment using cloud platforms (AWS, Azure, GCP)

5. Innovation & Emerging Technologies

- Drive adoption of:
- Generative AI (LLMs, prompt engineering)
- Deep Learning, NLP, and Agentic AI systems

- Stay updated on latest AI trends and build organizational capabilities
- Develop cutting-edge AI-powered solutions for customer and operational excellence

Required Qualifications

Technical Skills

- Machine Learning, Deep Learning, NLP
- Generative AI & Prompt Engineering
- Python, SQL, NoSQL
- TensorFlow / PyTorch
- Data Visualization (Power BI, Tableau)
- Cloud Platforms: AWS, Azure, GCP
- Data Platforms: Snowflake, Big Data ecosystems

Business & Leadership Skills

- AI Strategy & Digital Transformation
- Stakeholder Management (including C-suite)
- Program & Product Management
- Pre-sales, GTM strategy, and Business Development
- Team building and leadership

Key Success Metrics

- Revenue generated through AI initiatives
- Cost savings achieved via automation / analytics
- Adoption and scalability of AI solutions
- Team growth and capability development
- Innovation and asset creation

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