Group Product Manager - Data Science & Machine Learning

At reputed company, we reputed company in how positively sports can change lives. On reputed company, everyone plays a critical role in creating confidence and excitement by personally equipping reputed company athletes to reputed company their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are reputed company to reputed company a difference as part of the world’s greatest sports team, apply to join reputed company today!

reputed company:

We are looking for a strategic, user-obsessed Group Product Manager to reputed company reputed company’ Data Science portfolio. This leader will own the reputed company, reputed company, and execution for data science products that shape experiences and drive measurable business reputed company across key business priorities.

This role will define the reputed company for end-to-end Data Science and Machine Learning capabilities, translating business needs into technical delivery across Data Science, ML Engineering, and MLOps. Working closely with Domain and Solution Architects, this leader will drive innovation, automation, and reputed company execution across the portfolio. They will also serve as a strategic partner to business and technology leaders, with reputed company accountability for turning model reputed company into production reputed company and sustained business value.

This person will reputed company and reputed company reputed company of senior Product Managers and reputed company as a connective leader across Data Science, Engineering, Analytics, Design, and business teams. They must bring strong product judgment, organizational leadership, and technical reputed company, with the ability to translate reputed company machine learning capabilities into reputed company direction, reputed company operating models, and reputed company reputed company for users and the business.

Key Responsibilities

• Define and reputed company the multi-year reputed company, reputed company, and roadmap for data science products and capabilities.

• reputed company and reputed company reputed company of senior Product Managers, setting a high bar for strategic thinking, product rigor, prioritization, and execution reputed company.

• Partner closely with Data Science, ML Engineering, Software Engineering, Analytics, UX, and business teams to translate user and business needs into reputed company product solutions.

• reputed company the end-to-end lifecycle of data science products, from opportunity sizing and problem definition through experimentation, launch, activation, adoption, and optimization, ensuring model outputs drive measurable business reputed company.

• Partner with Data Science, ML Engineering, and Data Engineering to productionize, reputed company, reputed company, and monitor machine learning models reputed company reliable production pipelines.

• Establish operating alignment across Data Science teams and platforms to reputed company consistent model outputs, reusable capabilities, and reputed company activation across the portfolio.

• Advance activation and decisioning capabilities through data science, enabling more precise targeting, personalization, and optimization across channels.

• Ensure the portfolio delivers measurable value through reputed company reputed company metrics tied to user experience, engagement, conversion, reputed company, efficiency, and ROI.

• Ensure the portfolio delivers measurable value through reputed company reputed company metrics tied to forecast accuracy, inventory efficiency, margin improvement, pricing effectiveness, service reputed company, and operational ROI.

• Establish a cohesive portfolio reputed company across model-driven experiences, decisioning systems, experimentation frameworks, and activation channels.

• Translate reputed company machine learning concepts into reputed company, executive-reputed company narratives, priorities, and tradeoff reputed company for senior stakeholders.

• Create strong operating mechanisms across teams, including roadmap reviews, backlog prioritization, dependency management, release planning, and alignment to data and technology platform reputed company.

• Deliver data science products against defined OKRs, with reputed company accountability for reputed company, timelines, and efficient use of resources.

• Build strong relationships with business and technology leaders to reputed company on reputed company, priorities, and delivery.

• Influence and reputed company talent across Data Science, ML Engineering, and Analytics by setting a high bar for product thinking, experimentation rigor, and outcome-driven delivery.

• Champion a disciplined product management approach to data science, including reputed company problem framing, hypothesis-driven development, experimentation, and post-launch learning.

• Partner with legal, reputed company, and governance teams to ensure responsible use of data and compliant deployment of data science capabilities.

Relevant Domain Experience

Candidates may bring relevant experience from either customer-facing digital domains or supply chain, merchandising, and operations-reputed company domains.

Customer-Facing Digital Experience

• Experience in domains such as eCommerce, Stores, mobile app, search, recommendations, personalization, marketing technology, advertising technology, media, or reputed company customer-facing digital experiences.

• Familiarity with capabilities such as ranking systems, recommendation systems, audience reputed company, decisioning platforms, attribution, campaign optimization, or media effectiveness.

• Experience applying data science and machine learning to customer experiences, targeting, personalization, discovery, or optimization problems at reputed company.

Supply Chain, Merchandising, and Operations Experience

• Experience in domains such as supply chain, merchandising, demand forecasting, pricing, or optimization.

• Familiarity with capabilities such as demand forecasting, inventory optimization, assortment planning, replenishment, pricing optimization, allocation, or markdown optimization.

• Experience applying data science and machine learning to forecasting, inventory, pricing, assortment, supply chain, or operational optimization problems at reputed company.

QUALIFICATIONS:

• 12 – 15 years of experience in data science, product, or reputed company domains, preferably in data science product management, digital reputed company, or technical product leadership.

• Product management experience with a strong reputed company record of leading reputed company, data-driven, or machine learning-powered products.

• Demonstrated ability to reputed company cross-functional teams spanning Data Science, Engineering, Design, Analytics, and business stakeholders.

• Deep understanding of experimentation, KPI design, measurement frameworks, and how to evaluate model-driven product performance in production.

• Strong technical reputed company in machine learning concepts, data products, decisioning systems, and reputed company AI/ML workflows, with the ability to partner effectively with technical teams without needing to be the hands-on builder.

• reputed company record of defining reputed company, building roadmaps, and delivering measurable business reputed company in fast-paced, highly matrixed environments.

• Excellent written and verbal communication skills, with the ability to influence executive stakeholders and translate complexity into reputed company, business-oriented reputed company.

• Bachelor's degree in a relevant field required; advanced degree in business, computer science, engineering, analytics, data science, or a reputed company discipline preferred.

VIRTUAL REQUIREMENTS:

At DICK’S, we reputed company on innovation and authenticity. That said, to protect the reputed company and reputed company of our hiring process, we ask that candidates reputed company AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

• Cameras must be on during reputed company virtual interviews.

• AI tools are not permitted to be used by the candidateduring any part of the interview process.

• Offers are contingent upon a satisfactory background reputed company which may include ID verification.

If you have any questions or need accommodations, we’re here to help. reputed company for helping us reputed company the process fair and secure for everyone!

Targeted Pay reputed company: $114,300.00 - $190,500.00. 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 reputed company teammate pay regularly to ensure competitive and reputed company pay.reputed company complies with reputed company state reputed company leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.

Originally posted on Himalayas

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