Dick's Sporting Goods Logo

Dick's Sporting Goods

Group Product Manager - Data Science & Machine Learning (REMOTE)

Posted 4 Days Ago
Remote
Hiring Remotely in United States
114K-191K Annually
Expert/Leader
Remote
Hiring Remotely in United States
114K-191K Annually
Expert/Leader
The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.
The summary above was generated by AI

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams.  We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

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

OVERVIEW:

The DS&ML Group Product Manager is accountable to define the strategic vision for innovation and automation of the end-to-end Data Science and Machine Learning capabilities, including translation of business needs into technical delivery across Data Science, ML Engineering and general ML Ops, collaborating with said product portfolios and working closely with Domain and Solution Architects. The DS&ML Group Product Manager orchestrates integrated DS and ML roadmaps and is responsible for execution of DS models in production pipelines. They have a deep understanding of the enterprise and work hand-in-hand as a strategic partner for leadership across Marketing, eCommerce, App, Media and Store teams. The DS&ML Group Product Manager is a coach, mentor and manages a team of DS Product Managers

OVERVIEW:

  • Define vision, goals and objectives for Data Science and Machine Learning portfolio, establishing jointly with business and technical and Data Science leaders, the outcomes related to Data Science models, production of those assets and incorporation across various groups (Athlete analytics, Data Science & ML, Data Engineering)
  • Senior product leader in DS who delivers value around the overall output of various DS models that cross business domains including omni-channel marketing, media, enterprise supply chain, product and merchandising and other core business needs
  • Designs, pilots and scales functionality in support of execution across various domains including DS model output to activating productional models in support of enhancing Athlete and Teammate experience while continuously innovating across enterprise teams
  • Establishes orchestration alongside DS leaders to develop and scale operational DS models in service of enterprise needs, including advanced audience support for DICK’s media, enhancement of personalization and various requirements that raise Teammate output
  • Develops and leads a DS and ML roadmap with release planning, technology and data platform enhancement informing establishing a backlog and dependencies while deploying agile best practices
  • Ensure product delivery in accordance with targets and OKRs, including impact, costs, and timelines
  • Inspires, develops and grow distinctive talent in data and ML engineering, analytics and AI across multiple teams
  • Build relationships and communicate with leadership teams & stakeholders (e.g., Marketing, E-comm, Media, Stores, Customer success) to ensure alignment of vision, goals

QUALIFICATIONS:

  • Bachelor's Degree

  • 10-15 years of experience, including 10 - 12 years of ecommerce or relevant experience, prefer product management or digital strategy with retail, mobile or enterprise commerce platforms.

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use 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 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.

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

VIRTUAL REQUIREMENTS:

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use 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 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.

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


Targeted Pay Range: $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 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.

Top Skills

Agile Methodologies
Data Science
Machine Learning
Ml Engineering
Ml Ops

Similar Jobs

57 Minutes Ago
Remote or Hybrid
Chicago, IL, USA
45K-70K Annually
Mid level
45K-70K Annually
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Account Manager will manage client accounts and partnerships, ensuring satisfaction and retention, while facilitating sales processes and responding to proposals.
Top Skills: Microsoft SuiteSalesforce
58 Minutes Ago
Remote or Hybrid
California, USA
85K-103K Annually
Senior level
85K-103K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The Senior Systems Engineer leads technical aspects of projects, designs radio networks, conducts testing, prepares documentation, and offers consultative guidance to customers and teams.
Top Skills: BroadbandEthernetIp NetworkingL2/L3Lte NetworksMicrowave BackhaulMplsRadio Communication SystemsRfTcp/IpWireless Networks
An Hour Ago
Remote or Hybrid
California, USA
98K-153K Annually
Senior level
98K-153K Annually
Senior level
Gaming • Information Technology • Mobile • Software • Esports
The Senior Engineer will develop in-game creation modes and tools, modernize code, improve workflows, and collaborate with creative teams in a remote setting.
Top Skills: C#C/C++Python

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account