Senior Product Manager – Data Science, Search Relevance

🕒 Abril 21

🗽 New York – Remoto

🗽 New York – Remote

💵 $95.200 - $158.800 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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DICK'S Sporting Goods

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1948

🛒 Varejo

⚽ Esportes

🛍️ Comércio Eletrônico

Retail • Sports • eCommerce

DICK'S Sporting Goods é o maior varejista de artigos esportivos nos Estados Unidos, oferecendo uma ampla gama de equipamentos esportivos, vestuário e calçados. Comprometida com o enriquecimento das comunidades através do esporte, a DICK'S Sporting Goods também faz parcerias com grandes marcas esportivas como UnderArmour, Patagonia e Nike para oferecer produtos de alta qualidade. A empresa é dedicada à inclusão e sustentabilidade, oferecendo recursos e suporte para ajudar atletas e crianças a participarem de esportes. Com sede em Pittsburgh, a DICK'S está na vanguarda do varejo inovador e promove uma cultura centrada nas pessoas. A empresa também administra a Fundação DICK'S Sporting Goods, enfatizando o poder transformador do esporte.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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