Senior Product Manager - Core Data & Decision Intelligence

Posted 2 Days Ago
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2 Locations
In-Office
Senior level
eCommerce • Other • Retail
The Role
Own the vision, strategy, roadmap, and outcomes for a technical Core Data and Decision Intelligence product. Lead discovery, experimentation, prioritization, delivery, and measurement in partnership with Engineering, Data Science, UX, and Store Operations. Translate operational signals and business problems into scalable intelligent capabilities, balancing accuracy, latency, explainability, scalability, and value. Drive adoption, product health, continuous learning, stakeholder alignment, and reusable solutions across store experiences.
Summary Generated by Built In

Senior Product Manager – Core Data and Decision Intelligence
Target in India | L6
About Us
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America’s leading retailers.
Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.
Target is investing in the next generation of intelligent store experiences that connect operational, digital and physical environments to create smarter outcomes for guests, team members and the business.
Our Core Intelligence Product teams are building the foundational capabilities that enable Target’s stores to understand what is happening, anticipate what matters, recommend the right actions, and continuously learn from outcomes.
About the Job – Senior Product Manager, Core Data and Decision Intelligence
What if a store could understand its operating environment in real time, recognize what matters most and intelligently recommend what should happen next?
That is the future our Core Data and Intelligence teams are working toward.
As a Senior Product Manager for Core Intelligence, you will build highly technical products that transform operational and physical signals into trusted intelligence that powers smarter Store decisions and experiences.
You will own a complex intelligence product end-to-end—from deeply understanding the problem and developing product strategy through discovery, experimentation, delivery and measurement of outcomes.
You will work side-by-side with Engineering and Data Science and partner with UX, Store Operations and other Product teams to build scalable capabilities that can power multiple workflows and experiences across Target.
Product Strategy & Ownership

  • Own the vision, strategy, roadmap and outcomes for a complex Core Intelligence product.
  • Develop a deep understanding of Store operations, users and the decisions your product is intended to improve.
  • Translate customer and business problems into clear product opportunities and hypotheses.
  • Balance immediate use cases with development of reusable capabilities that can scale across Target.
  • Define meaningful product health and outcome metrics and use them to drive prioritization and investment decisions.

Discovery & Intelligence Product Development

  • Lead continuous discovery with Engineering, Data Science, UX, Operations and consuming Product teams.
  • Explore how operational context, data science, AI/ML and emerging technologies can solve meaningful Store problems.
  • Design experiments and prototypes to test hypotheses before scaling solutions.
  • Partner closely with Data Science to define intelligence quality, confidence and feedback mechanisms.
  • Build products that continuously learn and improve through real-world outcomes.
  • Make thoughtful trade-offs across accuracy, latency, explainability, scalability and business value.

Product Delivery & Outcomes

  • Own and prioritize the product backlog while maintaining clear connection to strategy and outcomes.
  • Partner with Engineering and Data Science throughout discovery, development, launch and learning.
  • Make autonomous product decisions within your product area.
  • Establish adoption, product-health and outcome measures.
  • Continuously evaluate whether the product is solving the intended problem and adjust strategy based on evidence.
  • Ensure capabilities are reliable, reusable and extensible where appropriate.

Cross-Functional Leadership

  • Build trusted partnerships across Engineering, Data Science, UX, Store Operations and Product teams.
  • Influence partners and stakeholders through strong product thinking, evidence and storytelling.
  • Clearly communicate product strategy, customer problems, trade-offs and outcomes.
  • Navigate dependencies across a complex enterprise ecosystem.
  • Contribute to the broader Core Intelligence strategy and identify opportunities for reuse across Store experiences.

About You

  • 4-year college degree or equivalent experience.
  • 5+ years of Product Management or relevant product experience.
  • Experience owning complex, technical or data-intensive products.
  • Strong product discovery and problem-solving capabilities.
  • Comfortable partnering deeply with Engineering and Data Science.
  • Familiarity with AI/ML, data products, recommendation systems or intelligent platforms is preferred.
  • Ability to translate complex technology into intuitive customer and business outcomes.
  • Strong analytical thinking and ability to make decisions using imperfect information.
  • Excellent communication and cross-functional influence skills.
  • Curious, comfortable with ambiguity and energized by building products in emerging problem spaces.

Skills Required

  • Four-year college degree or equivalent experience
  • 5+ years of Product Management or relevant product experience
  • Experience owning complex, technical, or data-intensive products
  • Strong product discovery and problem-solving capabilities
  • Experience partnering deeply with Engineering and Data Science
  • Familiarity with AI/ML, data products, recommendation systems, or intelligent platforms
  • Ability to translate complex technology into intuitive customer and business outcomes
  • Strong analytical thinking and ability to make decisions using imperfect information
  • Excellent communication and cross-functional influence skills
  • Comfort with ambiguity and emerging problem spaces

Target Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.

  • Healthcare Strength — Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
  • Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
  • Parental & Family Support — Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.

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The Company
HQ: Minneapolis, MN
172,344 Employees

What We Do

Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

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