Data Product Manager
FanDuelAbout the role
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including, America’s #1 Sportsbook FanDuel Sportsbook, its leading iGaming platform FanDuel Casino, the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico with approximately 17 million customers and 31 retail locations.
The company is based in New York with offices in Los Angeles, Atlanta and Jersey City, as well as in Canada, Scotland, Ireland, Portugal, Romania and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
THE ROSTER
At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We’re dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Product Manager to join our Data Products team within our Data organization. This is a key role in a fast-paced environment working with teams and stakeholders across our Sports business supporting our Risk and Trading functions, to define our next generation of data products. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
THE GAME PLAN
Everyone on our team has a part to play
- 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
THE STATS
What we're looking for in our next teammate
- 3-5 years of experience as a Product Manager, Product Owner or Data Analyst delivering impactful data products
- Passion for sports and / or sports betting / trading a strong plus
- 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 go
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