Dick's Sporting Goods Logo

Dick's Sporting Goods

Director - Athlete Activation Data & Analytics

Posted 4 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
127K-238K Annually
Expert/Leader
Remote
Hiring Remotely in United States
127K-238K Annually
Expert/Leader
Lead enterprise analytics for customer activation, CRM, loyalty, and lifecycle measurement. Own segmentation, propensity modeling, experimentation, identity strategy, reporting, and Adobe platform adoption. Manage leaders and teams, drive data-driven personalization and test-and-learn culture, and deliver executive insights that inform acquisition, engagement, retention, and long-term customer value.
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 Director of Athlete Activation Data & Analytics owns enterprise strategies across portfolios, and is responsible for managing people leaders and their teams to deliver value accretive, impactful, strategic analytics & insights that promulgate enterprise strategy. This role sits at the intersection of data, marketing, CRM, and product, and is responsible for turning identity-resolved customer data into actionable insights and measurement frameworks that drive acquisition, onboarding, engagement, loyalty, and long-term value.

As a senior leader, the Director of Analytics demonstrates mastery in the ability to oversee multiple workstreams, projects and initiatives, and forms deep partnership across the business and technology to drive strategic action. The Director of Analytics is a data and analytics evangelist that guides the organization in unbiased data-led insights and measurement strategy to drive business opportunity -- while also informing the underlying foundational data, analytical frameworks, and reporting needs as a translator across stakeholders. A master communicator, the Director of Analytics excels in executive communication.
As a leader of leaders, the Director of Analytics establishes team norms, best practices and processes to drive motivation and engagement across sub teams. As an analytics leader, this role guides analysts and managers, and is responsible for guiding career development for team members and ensuring a strong bench and succession plan across their portfolio. Importantly, the Director of Analytics works in concert with peers to oversee an analytics practice and community across the enterprise.

Job Duties & Responsibilities

Customer Activation & Lifecycle Analytics

  • Define and operationalize metrics for customer activation across channels (e.g., sign-up, onboarding completion, first purchase/action, early engagement milestones).
  • Extend measurement across the full lifecycle, including retention, loyalty, and reactivation.
  • Identify friction points in the activation and lifecycle funnels and provide data-driven recommendations to improve conversion and engagement.

CRM & Loyalty Analytics

  • Partner with CRM and loyalty teams to measure and optimize campaigns across email, SMS, push, and owned channels.
  • Evaluate the effectiveness of loyalty programs, rewards structures, and engagement strategies.
  • Develop reporting and insights on customer lifetime value (CLV), retention, churn, and loyalty program performance.
  • Inform personalization and journey orchestration strategies through data-driven insights.

Customer Segmentation & Propensity Modeling

  • Lead the development of advanced customer segmentation frameworks based on behavioral, transactional, and demographic data.
  • Build and oversee propensity models (e.g., likelihood to convert, churn, upgrade, respond) to drive targeted activation and engagement strategies.
  • Enable activation teams with actionable audience segments and model outputs for campaign execution.
  • Continuously refine models and segments to improve accuracy, scalability, and business impact.

First-Party Identity Strategy

  • Partner with data engineering and identity teams to develop a unified customer view using first-party data (CRM, web/app behavior, transactional data, loyalty data, etc.).
  • Ensure data quality, consistency, and governance across identity resolution systems.
  • Translate identity data into usable segments and signals for activation, personalization, and loyalty initiatives.

Measurement & Reporting

  • Build scalable dashboards and reporting frameworks to monitor activation, CRM, and loyalty KPIs.
  • Establish standardized definitions and methodologies for lifecycle and activation metrics across the organization.
  • Deliver clear, actionable insights to executive stakeholders.
  • Provides executive summaries of core KPIs and relevant longitudinal trends to unearth ‘the why’ behind results and patterns

Experimentation & Optimization

  • Lead A/B and multivariate testing strategies across activation, CRM, and loyalty initiatives.
  • Develop incrementality testing approaches to assess true lift from marketing, CRM, and product interventions.  Lead communication and application of learnings with Finance and partner teams.
  • Drive a culture of test-and-learn within marketing, CRM, and product teams.

Technology & Platform Leadership

  • Act as key Analytics steward in the implementation, adoption, and optimization of Adobe Customer Journey Analytics (CJA) and Adobe Content Analytics.
  • Establish best practices for data modeling, governance, and taxonomy within Adobe CJA and CDP.
  • Enable self-service analytics and audience activation through scalable use of Adobe and AI tools.
  • Partner with engineering and product teams to enable intelligence at scale through seamless data ingestion, identity stitching, and through development of standardized decision logic and machine consumable knowledge graphs.

Cross-Functional Leadership

  • Collaborate with Marketing, CRM, Loyalty, Product, Business, and Engineering to align on customer activation and engagement goals.
  • Act as a strategic advisor on data-driven decision-making related to customer growth and retention.
  • Act as strategic advisor through data led discovery, experimentation, predictive analytics and business case development.
  • Communicate complex analytical concepts in a clear and compelling way to non-technical stakeholders.

Team Leadership

  • Build, mentor, and scale a team of analysts through identification and coaching of strengths, opportunities and how to collaborate to maximize value as a team.
  • Foster a culture of curiosity, rigor, and accountability.
  • Set priorities and ensure high-quality, timely delivery of insights.

QUALIFICATIONS:

Qualifications

  • 10+ years of experience in analytics, data science, or a related field, with at least 5+ years directly leading teams.
  • Bachelor's Degree in Statistics, Computer Science, Business Analytics, Economics, Math, Political Sci, Finance, Engineering, Liberal Arts
  • Strong experience working with CRM systems, loyalty programs, and first-party identity data.
  • Proven track record of measuring and optimizing customer activation, lifecycle marketing, and retention strategies, inclusive of customer lifetime value.
  • Hands-on experience with customer segmentation and propensity modeling techniques.
  • Demonstrated success in experimentation design, causal inference, and attribution modeling such as A/B testing, Diff-in-Diff, and synthetic controls.
  • Advanced proficiency in SQL and experience with analytics tools (e.g., Python/R, BI platforms like Tableau/Looker).
  • Required experience with Adobe Customer Journey Analytics (CJA) and Adobe Customer Data Platform (CDP), including implementation, data modeling, and activation use cases.
  • Excellent communication skills with the ability to influence senior stakeholders.

Preferred Qualifications

  • Experience in a high-growth, data-driven organization (e.g., SaaS, e-commerce, retail, or digital platforms).
  • Familiarity with marketing automation and CRM tools (e.g., Salesforce, Braze, Adobe Experience Cloud).
  • Familiarity with knowledge graphs and scaling decision loigc
  • Experience developing or deploying machine learning models in production environments.
  • Experience working with identity graphs, clean rooms, or advanced personalization systems.

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: $127,000.00 - $237,800.00. 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.

Similar Jobs

11 Minutes Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Enterprise Web • Hardware • Internet of Things • Software
Own and close complex B2B SaaS deals in the US aerospace & defense vertical. Build and maintain a self-sourced pipeline, manage full sales cycle from discovery through negotiation and close, partner with pre-sales and customer success, capture field intelligence to inform product and GTM, and mentor junior AEs.
12 Minutes Ago
Remote
United States
147K-198K Annually
Mid level
147K-198K Annually
Mid level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own the full sales cycle to build pipeline, close and renew deals for Dropbox's product suite and emerging AI products. Prospect net-new customers, execute outbound efforts, apply qualification and value-selling frameworks, forecast and manage pipeline, and collaborate cross-functionally to influence GTM and product strategy.
Top Skills: AICRMSalesforce
14 Minutes Ago
Remote or Hybrid
United States
96K-139K Annually
Mid level
96K-139K Annually
Mid level
Artificial Intelligence • Cloud • Mobile • Security • Software
Manage partner marketing execution for operator, OEM, and referral partners: launches, communications, enablement, co-marketing, localized GTM, events, and playbooks. Coordinate stakeholders across Sales, BD, Product, and international teams to drive partner-facing assets, announcements, and scaled programs that support revenue-generating relationships.
Top Skills: AIAi Voice Technology

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account