Product Manager III, Customer Data Platform
New York, NY, United States
Full Time Senior-level / Expert USD 144K - 180K
Fanatics
Fanatics.com is the ultimate sports apparel and Fan Gear Store, featuring football Jerseys, T-shirts, Hats, Collectibles and merchandise for fans of the NFL, MLB, NBA, NHL, Soccer, and College.Position Overview
At Fanatics Collectibles, we are seeking a Product Manager to lead the development and management of our data products. This role will be crucial in leveraging our vast database of global sports fans to create data-driven solutions across our digital sports platform. The ideal candidate will have a strong background in data product management, with expertise in building scalable data solutions that drive business value and enhance decision-making capabilities.
Responsibilities
- Lead the conceptualization, development, and ongoing enhancement of data products, including the Customer Data Platform (CDP), APIs, analytics tools, and dashboards with a focus on creating a unified view of customers across the Topps, Live, & Collect (TLC) businesses.
- Develop and execute comprehensive product roadmaps for data initiatives, aligning with overall business objectives and leveraging cutting-edge data technologies, including AI and ML capabilities.
- Own the governance and accuracy of customer data, deriving features and fields to create a 360-degree view of customers, including their preferences and behaviors.
- Translate complex business requirements and stakeholder needs into clear, actionable product specifications and technical tasks for data science and engineering teams.
- Design and implement data models and self-service tools that enable internal teams to effectively leverage the CDP data for insights, personalization, and decision-making.
- Establish and maintain robust data governance practices, ensuring data quality, privacy, and compliance with relevant regulations.
- Collaborate closely with cross-functional teams including TLC business units, Marketing, Sales, Customer Service, and Analytics to identify opportunities for datadriven improvements in business operations.
- Drive the adoption of the CDP across the organization, creating documentation, training materials, and best practices for leveraging data effectively.
- Monitor and analyze key performance indicators (KPIs) related to data products, continuously iterating and improving based on user feedback and data insights.
- Manage and prioritize a backlog of data-related features and improvements, balancing short-term needs with long-term strategic goals.
- Oversee the integration of AI and machine learning capabilities into the CDP for enhanced personalization, forecasting, and to enable ML models across various business functions.
Qualifications
- 5+ years of experience in product management, with at least 2 years focused on data products or platforms
- Strong technical background with hands-on experience in SQL, Python, and cloudbased data technologies (e.g., AWS, Azure, GCP)
- Extensive experience using self-service analytics and BI dashboarding tools (e.g., Tableau, PowerBI, Alteryx)
- Demonstrated success in building and scaling data products that drive business value
- Deep understanding of data modeling, ETL processes, and data integration techniques
- Experience with various types of data products, such as analytics platforms, data warehouses, machine learning models, and business intelligence tools
- Familiarity with AI and machine learning applications in data products
- Strong knowledge of data privacy regulations and best practices in data governance
- Strong analytical and problem-solving skills, with the ability to translate complex data concepts into business value
- Excellent communication and stakeholder management skills, adept at collaborating with both technical and non-technical teams
- Bachelor's or Master's degree in Computer Science, Data Science, Business, or a related field
- Agile/Scrum project management experience
- Passion for sports, collectibles, or gaming industries is a plus
The salary range for this position is $144,000-$180,000, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers.
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.Tags: Agile APIs AWS Azure Business Intelligence Computer Science Data governance Data quality Engineering ETL GCP KPIs Machine Learning ML models Power BI Privacy Python Scrum Security SQL Tableau
Perks/benefits: Career development Conferences
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