Staff Data Science Product Manager

Join our team as a Staff Data Science Product Manager, where you will lead the strategy, prioritization, and execution of AI/ML capabilities and products that drive business decision-making. This role operates at the intersection of business, product, data science, and engineering, and is responsible for leading high-impact problem spaces that span teams. You will partner closely with Integrated Analytics Partners, Data Science leadership, and Engineering to ensure that analytics investments are coordinated, scalable, and focused on the highest-impact opportunities.

• Lead the strategy, prioritization, and execution of AI/ML capabilities and products that drive business decision-making.
• Drive alignment across squads to ensure coordinated execution and avoid duplication of effort, while identifying opportunities to scale solutions.
• Partner closely with Integrated Analytics Partners, Data Science leadership, and Engineering to ensure that analytics investments are coordinated, scalable, and focused on the highest-impact opportunities.
• Proven experience partnering with high-performing Data Science, ML, and Engineering teams to ship production-grade products that deliver measurable business outcomes
• Experience influencing prioritization and decision-making across multiple teams or domains
• Strong communication and stakeholder management skills, including working with senior leaders
• Proven experience leading complex, cross-functional initiatives involving data science and engineering teams
• 12+ years of relevant experience, including 6+ years in digital product management
• Demonstrated ability to operate in highly ambiguous environments and drive alignment across teams
• Strong understanding of data science workflows, including experimentation, modeling, forecasting, value analysis, and productionization
• Experience in Agile product management methodologies and working with cross-functional squads
• Strong mentorship skills and experience elevating the capabilities of other product managers or analytics leaders
• Bachelor’s degree in Business, Data Science, Computer Science, or a related field
• Proven ability to evaluate tradeoffs in scaling AI/ML solutions, balancing model sophistication with reliability, performance, interpretability, and operational complexity in production environments
• Experience defining quality standards and success metrics for analytics and ML products, including adoption, reliability, interpretability, and business impact
• Experience with experimentation and measurement frameworks (A/B testing, causal inference, incrementality) or related analytical approaches such as forecasting, scenario modeling, CLV/LTV modelling, and model evaluation
• Familiarity with analytics and data tools such as SQL, Python, or similar
• Ability to operate effectively in fast-paced environments and manage multiple initiatives simultaneously
• Experience identifying opportunities for reuse, platform development, and scaling analytics capabilities
• Demonstrated ability to partner effectively with other Product Management teams and cross-functional leaders, operating as a unified team to deliver cohesive strategies and stakeholder messaging