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Senior Product Manager - Data Science Search RelevanceDicks Sporting Goods • United States
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Senior Product Manager - Data Science Search Relevance

Dicks Sporting Goods
  • US
    United States
  • US
    United States
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About

OVERVIEW Welcome to Product Management at DICK'S Sporting Goods, where we specialize in delivering retail excellence along every aspect of the customer journey.
Imagine redefining how millions of athletes discover the gear they love. At DICK'S Sporting Goods, we're on a mission to revolutionize search by transforming how customers connect with our products.
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 Experience
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.
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. We review all teammate pay regularly to ensure competitive and equitable pay. DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.
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  • United States

Languages

  • English
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