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Senior Product Manager, Athlete Identity Data & Analytics (REMOTE)

Dick's Sporting

Senior Product Manager, Athlete Identity Data & Analytics (REMOTE)

Dick's Sporting

Remote - US

·

Remote

·

Full-time

·

1w ago

Compensation

$95,200 - $158,800

Benefits & Perks

Equity

Incentive

Healthcare

Equity

Healthcare

Required Skills

Product Management

Customer Data Platforms

Identity Management

Data Governance

SQL

Data Architecture

ETL/ELT

Agile/Scrum

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:

Welcome to Product Management at DICK’S Sporting Goods, where we specialize in delivering retail excellence along every aspect of the athlete journey.

Our mission focuses on crafting intuitive, easy-to-use products that span across our business. Our Data and Analytics organization is building the data foundation that will powers how DICK’s knows, serves, and delights 50M+ athletes. This isn't just a product role - it's a chance to define how an iconic sports retail brand uses athlete data to compete in a digital-first world.

In this role, as a Senior Product Manager, you'll own the strategy and execution of the Athlete 360 and Identity products that serve as the foundation for our athlete experience. As DICK'S transforms into a data-driven athlete experience company, you'll be the strategic leader who translates complex data architecture into business outcomes enabling enhanced personalization, targeting, loyalty, and Retail Media activation at scale.

KEY RESPONSIBILITIES INCLUDE

  • Define the multi-year product strategy and vision for Identity and Athlete 360 capabilities, building a unified enterprise source of truth that integrates data across transactions, loyalty, marketing, and service interactions to drive billions in revenue

  • Modernize identity and data capabilities to enable loyalty, personalization, omni-channel experiences, Retail Media, Data Science, and BI with seamless audience creation and consistent athlete insights.

  • Establish and maintain data quality standards, governance frameworks, and activation-ready data models ensuring enterprise-wide trust in athlete data.

  • Partner with Data Science, Engineering, Marketing, Retail Media, and business leaders to define requirements, prioritize initiatives, and scale personalization strategies in collaboration with Data Science, Engineering, and Architecture to drive measurable business impact.

  • Lead the development of athlete identity resolution capabilities (deterministic and probabilistic), enabling accurate athlete identification across all touchpoints and improved athlete engagement.

  • Establish KPIs to measure adoption of athlete profile attributes to drive better campaign performance uplift, and return on investment for Customer 360 data.

  • Define and track metrics to continuously monitor and optimize customer identity data accuracy, leveraging match rates, resolution quality, and attribute validation to enhance data integrity and deepen customer understanding.

  • Translate complex technical concepts into clear business value and executive-ready narratives, evangelizing Athlete 360 capabilities to drive organizational adoption.

  • Manage vendor relationships, evaluate platform optimization opportunities, and lead build-vs-buy decisions.

SCALE & IMPACT

  • Identity resolution and data management for 50M+ athlete profiles

  • Personalization and targeting across 850+ stores, web, mobile app, and emerging channels

  • Hundreds of millions in annual marketing and Retail Media spend optimization

  • Revenue growth through improved athlete lifetime value, retention, and loyalty engagement

  • Enterprise-wide data enablement for merchandising, marketing, and customer service teams

QUALIFICATIONS:

REQUIRED QUALIFICATIONS

Experience

7+ years in product management with 4+ years focused on customer data platforms, identity management, or data products

  • Proven track record building Customer 360 / Single Customer View solutions at enterprise scale (10M+ customer profiles)

  • Experience partnering with and presenting to SVP/Director-level stakeholders across Marketing, Technology, and Business teams

Domain Expertise

  • Deep understanding of identity resolution (deterministic & probabilistic matching), customer data modeling, and data governance

  • Experience with Customer Data Platforms (e.g., Amperity, Segment, m Particle, Treasure Data, Tealium) or identity management platforms

  • Knowledge of modern CDP architecture and cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)

Technical Skills

Strong technical fluency: ability to discuss APIs, data architecture, ETL/ELT processes, and system integration with engineering teams

  • SQL proficiency and experience with BI tools (Tableau, Looker, Power BI, or similar)

  • Familiarity with Agile/Scrum methodologies and product management tools (Jira, Confluence, Aha!, Product Board, Miro)

Product Management Skills

Expertise defining and tracking product KPIs/OKRs that tie to business outcomes

  • Strong ability to translate complex technical concepts into executive-ready narratives and business value propositions

  • Experience writing user stories, managing backlogs, and leading sprint planning

STRONGLY PREFERRED

  • Experience in retail, ecommerce, or omnichannel businesses

  • Background with Retail Media, loyalty programs, or personalization engines

  • Understanding of retail business models and marketing ROI

  • Familiarity with data privacy regulations (GDPR, CCPA)

  • Experience with Amperity or similar enterprise CDPs

WHAT YOU'LL DELIVER IN YOUR FIRST YEAR

  • Comprehensive product strategy and 18-month roadmap for Customer 360 and Identity

  • Key platform improvements that measurably increase data quality and match rates

  • Enhanced identity resolution capabilities enabling better personalization and targeting

  • Stronger cross-functional alignment and adoption of athlete data across the organization

  • Business cases and ROI models demonstrating platform value to executive leadership

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: $95,200.00 - $158,800.00. 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

Dick'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