Head of Data Science and AI
Role details
Job location
Tech stack
Job description
You will define a data and AI strategy aligned to TLC's commercial priorities. You will translate business goals into prioritised AI use cases, create delivery roadmaps, and embed data-driven decision making across the business.
Delivery Excellence
You will oversee the delivery of AI and data science solutions from design to deployment, ensuring strong performance monitoring, clear success metrics, and high-quality delivery frameworks.
Advanced AI Innovation
You will lead the development of personalisation models, predictive analytics, and generative AI features that enhance customer journeys, campaign performance, and operational efficiency. You will partner with Product and Engineering to ensure these capabilities are seamlessly integrated into COSMOS.
Global Team Leadership
You will build high-performing teams across multiple geographies, including leadership of offshore hubs in India. You will oversee hiring, capability development, team operating models, and leadership coaching.
Data Engineering Leadership
You will guide data engineering teams responsible for pipelines, integrations, and infrastructure. You will ensure high data quality, governance, scalability, and optimisation across the modern data stack, including Snowflake, ThoughtSpot, Fivetran, and Azure.
Data Monetisation and Enrichment
You will develop strategies to monetise data assets responsibly and profitably, using both theoretical frameworks and practical methods. You will lead enrichment and augmentation initiatives to improve data completeness and analytical value.
Client Engagement and Thought Leadership
You will operate as a trusted advisor to senior-level clients. You will shape AI-driven solutions, support strategic pitches, contribute to workshops, and represent TLC at industry events.
Technical Ownership
You will oversee data infrastructure and analytics tools, ensuring cost efficiency, governance, strong data modelling, and the democratisation of insights across the business.
Requirements
Do you have experience in SQL?, Do you have a Bachelor's degree?, * Extensive leadership experience in data science and AI, with a strong record of implementing production-grade AI solutions tied to commercial outcomes
- Expertise in Snowflake, DBT, ThoughtSpot, Fivetran, and Azure services
- Proven ability to define a data and AI strategy and execute against measurable business targets
- Experience leading data engineering teams and building scalable data foundations
- Experience building and managing offshore teams, ideally in India
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- Hands-on experience with generative AI, automation frameworks, and agentic AI systems
- Strong proficiency in Python, SQL, data modelling, and data warehouse design
- Experience with API integration and data ingestion
- Proven experience in data monetisation with clear examples of financial impact
- Deep understanding of enrichment and augmentation practices
- Ability to engage and influence senior client stakeholders with strong commercial acumen
Preferred Experience
- Experience in loyalty, rewards, martech, or related ecosystems
- Familiarity with generative AI applications and responsible AI frameworks