Lead Data & Analytic Engineer

About the Role & Team

Disney Entertainment & ESPN Product &Technology (DEEP&T) brings together the best-in-class product, technology, and commercialization teams to drive the global operations for the Company’s content engines. DEEP&T manages the P&L, distribution, network, engineering operations, sales, advertising, and key technology functions for Disney’s streaming services, including Disney+, Hulu, ESPN+, and Disney+Hot Star, as well as domestic broadcast and cable television networks.

DEEP&T plays a pivotal role in developing products, platforms, and innovations, leveraging technology to drive business performance and enhance consumer engagement. The team focuses on creating scalable systems and products that empower DEEP&T’s operations and bring creative ideas to life. With a global reach and a strong local presence, DEEP&T helps optimize platforms, resources, and technology to create industry-shaping approaches.

The Lead Data & Analytics Engineer role is a unique opportunity to be integral part of the team, providing strategic direction for data-centric systems, aligning with TWDC broader strategy and market needs across Domestic, EMEA, APAC and LATAM.

This role will be based in our London Hammersmith office, 4 days a week, witheithera Mondayor Friday working from home.

You’lljoin a team grounded in our
Disney values
— acting with Integrity, welcoming everyone through Inclusion, embracing boundless Creativity, working together through

Collaboration and caring deeply for our Community. These values shape how we work and how we support one another every day.

• Manage the entire lifecycle of data systems, from ideation and planning to development, deployment, and ongoing improvement.
• Promote data literacy and accessibility across the organization, enabling data-driven decision-making.
• Ensure data quality, reliability, and compliance, working with data engineers and stakeholders toestablishand maintain robust data processes.
• Collaborate with data engineers, data scientists, product managers, and other stakeholders toidentifydata needs, priority projects, andoptimizedata usage.
• Use data to inform media applications decisions,identify opportunities for new application and features, and develop data-driven applications systems that meet user needs.
• Develop andmaintaina roadmap for data-driven systems, ensuring alignment with business goals and priorities.
• Define and track key metrics and KPIs to measure the success of data systems and inform future development efforts.
• Analyse data toidentifytrends, patterns, and insights that can be used to inform media application decisions and improve user experience.
• Collaborate with DBA’s and systems infrastructure teams to build andmaintainthe data infrastructure for optimal performance and resilience.

• Builds Relationships
• Establishes critical external alliances.
• Engages colleagues across the organization tooptimizeperformance.
• Manages the needs of diverse stakeholders.
• Facilitates win-win situations.
• Resolves conflicts effectively.
• Interacts well with people who have different backgrounds and work styles
• Communicates Effectively
• Obtains full engagement through inspiring communications.
• Provides appropriate rationale and context to drive commitment.
• Effectively persuades others to support ideas and plans.
• Tailors’messages appropriately to the audience.
• Invites diverse points of view.
• Listens and asks questions to ensure understanding.
• Conveys relevant information in a candid andtimelymanner
• Drives Results
• Translates strategy into specific priorities,objectives, and action plans.
• Develops appropriate metricsto assess business performance.
• Manages projects,processes and resources to produce desired outcomes.
• Holds self and others accountable to high…