Lead Data & Analytic Engineer

In this role, you lead the end-to-end management of data systems to support Disney’s streaming operations and global markets. You will drive data literacy, ensure quality and compliance, and align data initiatives with business priorities. You’ll work with cross-functional teams to identify data needs, shape a data-driven roadmap, and translate insights into impactful media applications. This position offers a meaningful chance to influence consumer experiences at scale within a globally distributed organization.

• 25 days annual leave
• Private medical insurance & dental care
• Free Park Entry for family and friends
• Disney Discounts on products, resort F&B, ticketing
• Excellent parental and guardian leave
• Employee Resource Groups – WOMEN @ Disney, Disney Mosaic, Disney PRIDE, ENABLED, TRUST

• Manage the full lifecycle of data systems from ideation to deployment and continuous improvement
• Promote data literacy and accessibility to enable data-driven decision making
• Ensure data quality, reliability, and compliance through robust processes with engineers and stakeholders
• Collaborate with data engineers, scientists, product managers, and other stakeholders to identify needs and prioritize projects
• Use data to inform media application decisions and develop data-driven systems for user needs
• Develop and maintain a data-driven systems roadmap aligned with business goals
• Define and track KPIs to measure data systems success and guide development
• Analyze data to identify trends and insights to improve user experience and inform decisions
• Collaborate with DBAs and infrastructure teams to maintain resilient data infrastructure

• Experience in managing data systems across ideation, development, deployment, and improvement
• Ability to promote data literacy and enable data-driven decision making
• Strong focus on data quality, reliability, and compliance with stakeholders
• Experience working with cross-functional teams (engineers, scientists, product managers) to prioritize data projects
• Ability to translate data insights into actionable product and system improvements
• Roadmapping for data-driven systems aligned with business priorities
• Analytical mindset to identify trends and inform decisions
• Collaboration with DBAs and infrastructure teams to ensure performance and resilience

• Relationship building and stakeholder management
• Effective communication and ability to persuade and tailor messages to audiences
• Collaboration across diverse teams and inclusivity
• Data systems lifecycle management
• Data governance and quality assurance
• Metrics and KPI definition and tracking