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Director, Product Management – Audience & Measurement; P4127
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-02-19
Listing for:
84.51˚
Full Time
position Listed on 2026-02-19
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, AI Engineer
Job Description & How to Apply Below
Overview
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection. Join us °!
ResponsibilitiesProduct Strategy & Vision
- Own the long‑term strategy for audience creation and activation measurement capabilities across KPM.
- Define a cohesive roadmap that unifies data science methodologies and scalable platform capabilities into a repeatable and efficient deployment model.
- Monitor industry trends (audience science, attribution, incrementality, retail media) to inform future product direction.
- Oversee the scaled science pipelines that generate audiences, model scores, and campaign measurement outputs.
- Ensure pipelines are reliable, efficient, and operate with rigorous governance and data quality standards.
- Drive continuous pipeline innovation with Data Science and Engineering to improve accuracy, performance, and automation.
- Own and advance measurement methodologies (e.g., lift, incrementality approaches, attribution science).
- Drive methodology innovation, ensuring alignment with evolving market standards and KPM’s commercial strategy.
- Champion transparency, scientific rigor, and repeatability across all measurement outputs.
- Collaborate with Commercial Strategy & Activation to deeply understand customer needs and ensure our capabilities address market gaps.
- Partner with Engineering to define scalable, extensible APIs and supporting technical architecture.
- Align with cross‑domain product peers so audience & measurement capabilities integrate seamlessly across KPM products.
- Guide your team to deliver against roadmap commitments with clarity, focus, and disciplined prioritization.
- Ensure your products meet high standards for scalability, performance, and technical architecture suitability.
- Maintain accountability for outcomes, not just output, by measuring and communicating the value delivered to customers and the business.
- Lead, mentor, and develop a team of Product Managers.
- Provide coaching on product management, stakeholder influence, strategic thinking, and technical fluency.
- Build a strong, empowered team culture centered on collaboration, accountability, and continuous learning.
- 8+ years of product management experience, including significant experience owning complex, technical, data or ML‑driven products.
- Proven success leading and developing Product Managers or other direct reports.
- Demonstrated ability to define product strategy, influence cross‑functional partners, and drive measurable business outcomes.
- Strong technical fluency, including understanding of machine learning concepts, API‑based architectures, and data pipelines.
- Experience operating in ambiguous environments and providing clarity, direction, and prioritization.
- Excellent communication, storytelling, and stakeholder‑management skills.
- Experience in AdTech/Mar Tech, retail media, or related data‑driven marketing ecosystems.
- Hands‑on experience collaborating with Data Science teams on model development, measurement frameworks, or experimentation design.
- Familiarity with identity resolution, privacy‑preserving data practices, and cross‑channel measurement.
- Proven ability to define and scale capabilities that power multiple downstream product experiences (vs. owning front‑end or UI).
- Leaders with a capabilities mindset who enjoy building foundational components used across multiple products.
- Product thinkers energized by data science, measurement…
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