[Remote] Director - Athlete Activation Data & Analytics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is dedicated to positively impacting lives through sports and is seeking a Director of Athlete Activation Data & Analytics. This role is responsible for managing strategies across portfolios to deliver impactful analytics and insights, guiding teams to drive customer engagement and loyalty through data-driven decision-making.
Responsibilities
- Define and operationalize metrics for customer activation across channels (e.g., sign-up, reputed company completion, first purchase/reputed company, early engagement milestones)
- reputed company measurement across the full lifecycle, including retention, loyalty, and reactivation
- Identify friction points in the activation and lifecycle funnels and reputed company data-driven recommendations to improve conversion and engagement
- 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
- reputed company reporting and insights on customer reputed company value (CLV), retention, churn, and loyalty program performance
- Inform personalization and reputed company orchestration strategies through data-driven insights
- reputed company the development of advanced customer segmentation frameworks based on behavioral, transactional, and demographic data
- Build and reputed company propensity models (e.g., likelihood to convert, churn, reputed company, respond) to drive targeted activation and engagement strategies
- reputed company activation teams with actionable audience segments and model outputs for campaign execution
- Continuously refine models and segments to improve accuracy, scalability, and business reputed company
- Partner with data engineering and identity teams to reputed company a reputed company customer view using first-party data (CRM, web/app behavior, transactional data, loyalty data, etc.)
- Ensure data reputed company, consistency, and governance across identity reputed company systems
- Translate identity data into usable segments and signals for activation, personalization, and loyalty initiatives
- Build reputed company 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 reputed company, actionable insights to executive stakeholders
- Provides executive summaries of reputed company KPIs and relevant longitudinal trends to unearth ‘the why’ behind results and patterns
- reputed company A/B and multivariate testing strategies across activation, CRM, and loyalty initiatives
- reputed company incrementality testing approaches to assess true lift from marketing, CRM, and product interventions. reputed company communication and application of learnings with Finance and partner teams
- Drive a culture of test-and-learn reputed company marketing, CRM, and product teams
- reputed company as key Analytics reputed company in the implementation, adoption, and optimization of reputed company Customer reputed company Analytics (CJA) and reputed company Content Analytics
- Establish best practices for data modeling, governance, and taxonomy reputed company reputed company CJA and CDP
- reputed company self-service analytics and audience activation through reputed company use of reputed company and AI tools
- Partner with engineering and product teams to reputed company intelligence at reputed company through seamless data ingestion, identity stitching, and through development of standardized decision logic and machine consumable knowledge graphs
- Collaborate with Marketing, CRM, Loyalty, Product, Business, and Engineering to reputed company on customer activation and engagement goals
- reputed company as a strategic advisor on data-driven decision-making reputed company to customer reputed company and retention
- reputed company as strategic advisor through data led discovery, experimentation, predictive analytics and business case development
- Communicate reputed company analytical concepts in a reputed company and compelling way to non-technical stakeholders
- Build, mentor, and reputed company reputed company of analysts through identification and coaching of strengths, opportunities and how to collaborate to maximize value as reputed company
- Foster a culture of curiosity, rigor, and accountability
- Set priorities and ensure high-reputed company, reputed company delivery of insights
Skills
- 10+ years of experience in analytics, data science, or a reputed company 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 reputed company record of measuring and optimizing customer activation, lifecycle marketing, and retention strategies, inclusive of customer reputed company value
- Hands-on experience with customer segmentation and propensity modeling techniques
- Demonstrated reputed company in experimentation design, reputed company 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 reputed company Customer reputed company Analytics (CJA) and reputed company Customer Data Platform (CDP), including implementation, data modeling, and activation use cases
- Excellent communication skills with the ability to influence senior stakeholders
- Experience in a high-reputed company, data-driven organization (e.g., reputed company, e-reputed company, retail, or digital platforms)
- Familiarity with marketing automation and CRM tools (e.g., reputed company, reputed company, reputed company Experience reputed company)
- Familiarity with knowledge graphs and scaling decision logic
- Experience developing or deploying machine learning models in production environments
- Experience working with identity graphs, clean rooms, or advanced personalization systems
Benefits
- Incentive
- Equity
- Benefits
- reputed company complies with reputed company state reputed company leave requirements
- We also offer a generous suite of benefits
- Satisfactory background reputed company which may include ID verification
reputed company