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
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Define and execute enterprise-wide AI and Data strategy aligned with business objectives
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Lead Generative AI and Agentic AI initiatives across functions
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Drive digital transformation through adoption of AI/ML, cloud, and data platforms
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Build reusable AI accelerators, frameworks, and assets
2. Business Impact & Revenue Ownership
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Drive revenue generation through AI-led solutions, GTM strategies, and innovation programs
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Own and contribute to pre-sales, RFP responses, and solution positioning
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Deliver measurable business outcomes such as:
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Revenue growth
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Cost savings
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Productivity optimization
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Partner with leadership and stakeholders to identify AI opportunities and scale solutions
3. Leadership & Team Management
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Build and lead high-performing global teams (50–100+ members)
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Mentor data scientists, ML engineers, and AI specialists
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Establish Centers of Excellence (CoE) for AI and analytics
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Drive cross-functional collaboration across geographies
4. Solution Design & Delivery
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Architect and deliver end-to-end AI/ML solutions across domains
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Implement advanced analytics use cases such as:
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Customer analytics & personalization
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Fraud detection, AML, KYC
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Lead scoring, segmentation, and sales optimization
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Forecasting, anomaly detection, and automation
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Ensure scalable deployment using cloud platforms (AWS, Azure, GCP)
5. Innovation & Emerging Technologies
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Drive adoption of:
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Generative AI (LLMs, prompt engineering)
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Deep Learning, NLP, and Agentic AI systems
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Stay updated on latest AI trends and build organizational capabilities
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Develop innovative AI-powered solutions for customer and operational excellence
Required Qualifications
Technical Skills
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Machine Learning, Deep Learning, NLP
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Generative AI & Prompt Engineering
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Python, SQL, NoSQL
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TensorFlow / PyTorch
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Data Visualization (Power BI, Tableau)
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Cloud Platforms: AWS, Azure, GCP
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Data Platforms: Snowflake, Big Data ecosystems
Business & Leadership Skills
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AI Strategy & Digital Transformation
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Stakeholder Management (including C-suite)
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Program & Product Management
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Pre-sales, GTM strategy, and Business Development
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Team building and leadership
Key Success Metrics
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Revenue generated through AI initiatives
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Cost savings achieved via automation / analytics
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Adoption and scalability of AI solutions
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Team growth and capability development
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Innovation and asset creation
