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Compensation
$114,300 - $190,500
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, e Commerce, 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:
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Bachelor's Degree
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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 candidateduring 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.
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About Dick's Sporting

Dick's Sporting
PublicDick's Sporting Goods, Inc. is an American chain of sporting goods stores founded in 1948 by Richard "Dick" Stack. It is the largest sporting goods retailer in the United States and is listed on the Fortune 500.
10,001+
Employees
Coraopolis
Headquarters
Reviews
3.7
10 reviews
Work Life Balance
3.8
Compensation
2.9
Culture
3.4
Career
3.7
Management
3.2
65%
Recommend to a Friend
Pros
Flexible hours and scheduling
Good team environment and coworkers
Understanding and accommodating management
Cons
Management issues and poor treatment
Low pay relative to workload
High-pressure quotas and fast pace
Salary Ranges
48 data points
Senior/L5
Staff/L6
Senior/L5 · Senior Data Engineer
4 reports
$160,295
total / year
Base
$123,304
Stock
-
Bonus
-
$156,000
$163,835
Interview Experience
7 interviews
Difficulty
2.3
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 29%
Neutral 28%
Negative 43%
Interview Process
1
Application Review
2
Phone Screen/HR Screen
3
Hiring Manager Interview
4
Technical Assessment (if applicable)
5
Final Interview
6
Offer
Common Questions
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Customer Service Scenarios
News & Buzz
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