Data Product Manager

3-5 years of experience as a Product Manager, Product Owner or Data Analyst delivering impactful data products
Experience working with data warehouse and data pipeline technologies
Experience using SQL, Python and data visualization tools
Familiarity with popular machine learning frameworks and tools
A self-starter who can work autonomously with minimal supervision and collaboratively in an agile team
Strong analytical skills with the ability to apply these to delivering data products
Experience conducting stakeholder interviews and facilitating stakeholder workshops
Committed to high standards of performance, consistently working to meet or exceed challenging goals
High self-awareness and a strong understanding of behavior in different team environments
Ability to constructively challenge and question as well as actively listen
Thrives in a fast-paced environment, helping teams navigate shifting priorities with clarity

Collaborate with teams from across the business to understand data challenges and opportunities
Own and drive data products that deliver key insights, shaping future business decisions
Lead elicitation of requirements translating needs into user stories and acceptance criteria while prioritizing the product backlog
Translate product roadmap features into clear, actionable requirements including well-defined features, user stories and acceptance criteria
Work closely with cross-functional teams, including data scientists, data engineers, machine learning engineers and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions
Establish and maintain domain expertise on the product
Bring fresh ideas to problem solving, leveraging commercial understanding to generate innovative data solutions
Drive effective and sustainable change guiding the business through transformation initiatives
Play a key role in self-organizing agile delivery teams
Play a key role within the PM community here at FanDuel, sharing your industry best practice and fostering a culture of knowledge sharing and cross-skilling