About the position
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. At Target, Product Teams are accountable for driving business outcomes through the development of intuitive, scalable, and reliable technology and analytics products. The Customer Lifetime Value (CLV) Product team is dedicated to developing a deep understanding of guest behavior over time and building data-driven products that optimize retention, engagement, and long-term business value. As a Senior Product Manager on this team, you will play a pivotal role in shaping the product strategy and roadmap to unlock actionable insights and influence business decisions through the lens of guest lifetime value.
Responsibilities
- Define and execute a comprehensive strategy to measure, model, and grow Customer Lifetime Value using advanced analytics and behavioral insights.
- Partner with enterprise teams to ensure CLV metrics influence business priorities across marketing, loyalty, assortment, and digital experiences.
- Lead the creation and continuous enhancement of predictive models and segmentation strategies that identify high-value guest cohorts, potential churn, and growth opportunities.
- Translate complex data outputs into user-centric tools and experiences that drive personalized engagement.
- Work with data science, engineering, analytics, finance, marketing, and digital teams to operationalize CLV metrics across guest touchpoints.
- Advocate for CLV integration into decision-making processes across the enterprise.
- Define KPIs, establish baselines, and monitor the impact of CLV-driven initiatives on guest behavior and business outcomes.
- Use data storytelling to influence senior leaders and inform strategy pivots.
- Partner with experimentation teams to design A/B tests and evaluate interventions aimed at increasing guest loyalty and spend over time.
- Leverage results to refine predictive models and drive continuous improvement.
- Stay current on CLV modeling approaches, retention best practices, and personalization trends in the retail industry.
- Share insights and mentor peers across product and analytics functions.
Requirements
- Four-year degree or equivalent experience.
- 6+ years of product management experience leveraging AI, Data Science, and Customer Lifetime Value Models.
- Desired experience with one or more functional areas: CRM, digital, digital marketing, loyalty, personalization, ad-tech products, mar-tech products, or customer analytics.
- Experience with technology and ability to facilitate communication between business and technology teams.
- Experience working in an agile environment (e.g., user stories, iterative development, scrum teams, sprints, personas).
- Ability to lead a body of work with cross-functional partners.
- Strong communication skills.
Nice-to-haves
- Deep understanding of CLV principles, customer segmentation, and predictive modeling.
- Demonstrated ability to lead data products from concept to delivery.
- Strong collaboration skills and ability to influence cross-functional stakeholders.
- Comfort with ambiguity, ability to make tradeoffs, and a track record of delivering outcomes aligned to strategic priorities.
- Passion for solving complex problems with curiosity, empathy, and resilience.
Benefits
- Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more.
- 401(k).
- Employee discount.
- Short term disability.
- Long term disability.
- Paid sick leave.
- Paid national holidays.
- Paid vacation.
