Senior Data Product Manager – Machine Learning
We are looking for a Product Manager to join our Data Products team within our Technology. This is a key role in a fast-paced environment working with teams and stakeholders across the business to drive the development and enhancement of our Data Science and Machine Learning products. In this role, you'll drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities that enable data scientists to build, deploy, and monitor models at scale. You'll also own the product strategy for ML-powered consumer applications — today focused on search relevance and ranking across the FanDuel product suite, with future scope expanding across personalization, recommendations, and beyond.
- Take ownership of data products that deliver key insights into our business and drive future business decisions
- Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities
- Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions
- Own the product roadmap for ML-powered consumer features, including search ranking, relevance tuning, and recommendation systems — translating business outcomes into model requirements and working backward from the user experience
- Partner with Data Science, ML Engineering, and product teams to define and improve relevance signals, evaluation frameworks (offline metrics, A/B experiments, user feedback loops), and deployment criteria for consumer-facing ML features
- Bring fresh ideas to the table when working to solve business problems, using your commercial understanding to generate innovative solutions
- Create and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tooling for experiment tracking, model deployment, feature engineering, and observability
- Monitor platform performance, model accuracy, and data quality. Identify and address issues to continuously improve platform efficiency
- 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
- 5-8 years of experience as a Product Manager, Product Owner, or Data Scientist delivering impactful data products, with a proven track record of successful project delivery and stakeholder satisfaction (required).
- Experience working with data warehouse and data science technologies, including platforms such as Python, PySpark, Databricks, AWS, and MLflow ensuring efficient data processing and management (required).
- Sufficient technical fluency in ML frameworks to partner effectively with ML engineers on model development and deployment requirements; hands-on experience is a plus (required).
- Expertise in using Databricks for scalable data engineering and machine learning workflows, leveraging its collaborative environment and optimized Spark clusters for accelerated development and deployment cycles (required).
- Strong proficiency in SQL for querying and manipulating large datasets, combined with advanced programming skills in Python for data preprocessing, feature engineering, and model development tasks (required).
- Hands-on experience with MLflow for experiment tracking, model registry, and model lifecycle management, including integration with Unity Catalog for centralized governance and versioning (required).
- Familiarity with ML observability and monitoring tools (e.g., Fiddler, Evidently AI, or similar platforms) for tracking model performance, detecting data drift, and ensuring model health in production environments (required).
- Extensive experience with feature stores, facilitating efficient feature management and reuse across machine learning models, enhancing model accuracy and reducing time-to-market for data-driven solutions (required).
- Familiarity with data visualization tools sufficient to define requirements and review outputs (required).
- Exceptional analysis skills, with the ability to interpret complex datasets, identify meaningful patterns and trends, and derive actionable insights to inform product strategy and decision-making (required).
- Proven experience conducting stakeholder interviews and facilitating stakeholder workshops, fostering open communication and collaboration to gather requirements, prioritize features, and align product roadmap with business objectives (required).
- Proficient in translating product roadmap features into well-defined product requirements, including features, user stories, and acceptance test criteria, ensuring clear understanding and alignment across cross-functional teams (required).
- Thrives in a fast-paced environment, adapting quickly to changing priorities while driving high standards and delivering value that meets or exceeds challenging goals (required).
- Drives high standards for individual accomplishment and works to meet or exceed challenging goals, fostering a culture of excellence and continuous improvement within the product development team (required).
- Is accustomed to working in a fast-paced environment, adapting quickly to changing priorities and requirements, while maintaining a focus on delivering value and driving outcomes for the organization (required).
- Bachelor's degree in a relevant field preferred (Computer Science, Engineering, Business, or a related discipline) (preferred).
- A Master's degree is a plus, providing additional depth and specialization in machine learning, data science, or related fields (nice-to-have).
- Health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
- Generous paid time off (PTO & sick leave).
- Annual bonus and long-term incentive opportunities (based on performance).
- 401k with up to a 5% match.
- Commuter benefits.
- Pet insurance.
- Medical, vision, and dental insurance.
- Life insurance.
- Disability insurance.
- 14 paid company holidays.
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in 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).