Senior Product Manager – Data Science, Search Relevance

🕒 April 21

🗽 New York – Remote

🗽 New York – Remote

💵 $95.2k - $158.8k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DICK'S Sporting Goods

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1948

🛒 Retail

⚽ Sports

🛍️ eCommerce

Retail • Sports • eCommerce

DICK'S Sporting Goods is the largest sporting goods retailer in the United States, offering a wide range of sporting equipment, apparel, and footwear. Committed to enriching communities through sports, DICK'S Sporting Goods also partners with major sports brands like UnderArmour, Patagonia, and Nike to provide high-quality products. The company is dedicated to inclusivity and sustainability, providing resources and support to help athletes and children participate in sports. Headquartered in Pittsburgh, DICK'S is at the forefront of innovative retail and fosters a people-first culture. The company also runs the DICK'S Sporting Goods Foundation, emphasizing the transformative power of sports.

📋 Description

• Define and execute a multi-year product vision and roadmap for search relevance. • 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. • Establish KPIs to measure value realization and impact of search data science capabilities. • Define and monitor metrics to continuously improve search relevance and model performance. • Partner with analytics and optimization teams to design and execute A/B tests across digital channels. • Own prioritization and tradeoff decisions across search relevance models, experimentation strategy, and platform investments.

🎯 Requirements

• 7+ years in product management. • 4+ years focused in building machine learning data products for search. • Proven track record building data solutions at enterprise scale. • 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. • 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). • 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.

🏖️ Benefits

• Competitive total rewards package that could include other components such as: incentive, equity and benefits. • Generous suite of benefits.