Sr Staff Product Manager, Technical - Data

Principal Data Product Manager

Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.

As a Principal Data Product Manager, you will own the strategy, prioritization, and delivery of data-centric initiatives across the company. You will identify and champion innovative ways to leverage our data assets — whether through new analytics products, ML-powered features, or improved governance and self-service. You will serve as the connective tissue between data teams and cross-functional stakeholders (product, engineering, finance, compliance, operations, security), ensuring we're building the right data products at the right time, and with measurable business impact. This is a highly visible, senior IC role where you'll drive product vision for data, set roadmap, and influence leadership and execution across the org.

Responsibilities:

• Define and drive our data product strategy, aligning opportunities to more effectively leverage our data with the company's objectives
• Translate business challenges into data-driven solutions: data products, ML models, dashboards, or infrastructure investments
• Own and maintain the data product roadmap, prioritizing initiatives across multiple stakeholders while balancing short term vs long term business needs
• Identify and manage trade-offs between data staffing capacity, cross-team dependencies, and business priorities
• Act as program driver across diverse data roles: staff data engineers, data platform engineers, ML engineers, ML platform engineers, analytics engineers, and data scientists
• Lead cross-functional project management for data initiatives, ensuring milestones are met, blockers are cleared, and scope is aligned
• Partner with executive stakeholders to identify opportunities, gather requirements, and report on KPIs for data products
• Evangelize data best practices and the value of data-driven decision-making across the org

Minimum Qualifications:

• 10+ years of experience in product management, program management, or equivalent roles, with at least 5+ years focused on data, ML, or analytics
• Proven track record of shipping data products (e.g., ML-driven features, self-service analytics platforms, reporting suites, or governance tools)
• Strong understanding of data and ML lifecycles — from ingestion, modeling, and governance to feature engineering, model training, and deployment
• Hands-on experience partnering with data engineers, ML engineers, and data scientists
• Ability to translate complex data and ML concepts into business value for non-technical stakeholders
• Exceptional skills in roadmap development, prioritization, and cross-functional coordination
• Strong written and verbal communication skills; comfort presenting to executive leadership
• Experience in fintech, crypto, or regulated industries a plus

Preferred Qualifications:

• Experience with ML platforms (feature stores, model registries, inference hosting) or data platforms (lakehouse, governance, catalogs)
• Familiarity with compliance and regulatory constraints on data AML, KYC, GDPR, SOX, SOC2
• Background in analytics, statistics, or data science — able to independently explore and validate data-driven opportunities