Senior Product Manager - Data Science Search Relevance

Role Description

As a Senior Product Manager on the Data Science Search Relevance team, you’ll be at the forefront of innovation, leading the integration of cutting-edge machine learning models into the search experience across digital touchpoints. You will own search relevance as a data product, partnering closely with data scientists and machine learning engineers to power a next‑generation search experience that delivers smarter, more intuitive discovery for athletes and continuously improves through learning.

We are looking for a product leader with strong technical fluency and strategic depth to drive a multi-year evolution of search, spanning natural language processing, semantic understanding, predictive ranking, and personalization at scale.

If you thrive at the intersection of data science, ecommerce and product strategy – and you’re ready to shape the future of retail search – this is your moment.

Key Responsibilities Include

• Define and execute a multi-year product vision and roadmap for search relevance, scaling a cohesive ecosystem of data science models and search infrastructure to drive revenue growth.
• Partner closely with data science, engineering and digital stakeholders to define requirements, prioritize initiatives, and deliver measurable business impact.
• Translate complex data science and search concepts into clear business and athlete value, delivering executive-ready narratives that drive alignment, investment, and adoption.
• Establish KPIs to measure value realization and impact of search data science capabilities, improving product discovery efficiency and core commerce metrics.
• Define and monitor metrics to continuously improve search relevance and model performance, including nDCG, MRR, precision and recall.
• Partner with analytics and optimization teams to design and execute A/B tests across digital channels, using experimentation insights to iteratively improve search models and drive incremental sales.
• Own prioritization and tradeoff decisions across search relevance models, experimentation strategy, and platform investments in partnership with data science and engineering leads.
• Develop go-to-market strategies for search features, including rollout, adoption, and performance tracking.
• Manage the product backlog, write effective user stories, and lead sprint planning and agile ceremonies.

Qualifications

• 7+ years in product management with 4+ years focused in building machine learning data products for search.
• Proven track record building data solutions at enterprise scale.
• Experience partnering with and presenting to VP and director-level stakeholders across technology and business teams.

Domain Expertise

• Extensive familiarity with search engines (e.g., Elasticsearch, Solr or similar) and ecommerce APIs.
• Strong fluency in ecommerce analytics and customer behavior metrics.
• Deep understanding of ecommerce A/B testing methodologies to drive learning and iterative development.

Technical Skills

• Strong technical fluency and ability to discuss development of data science models and pipelines, data architecture, and integration with search APIs.
• Expertise defining and measuring product KPIs that tie to business outcomes.
• Familiarity with Agile/Scrum methodologies and product management tools (Jira, Confluence, Aha!, Miro).

Product Management Skills

• Strong ability to translate complex technical concepts into executive-ready narratives and business value propositions.
• Effective facilitation, relationship building and collaboration skills to drive alignment across organizational peers and stakeholder groups.
• Experience writing user stories, managing backlogs, and leading agile ceremonies.

Virtual Requirements

• Cameras must be on during all virtual interviews.
• AI tools are not permitted to be used by the candidate during any part of the interview process.
• Offers are contingent upon a satisfactory background check which may include ID verification.

Benefits

• Targeted Pay Range: $95,200.00 - $158,800.00.
• This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits.
• Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations.
• DICK'S Sporting Goods complies with all state paid leave requirements.
• We also offer a generous suite of benefits.