Marketing Mix Modeling Product Owner

Overview

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Marketing Analytics and Technology supports Marketing, Enterprise Analytics & Customer Experience (EACX), and the Chief Product Officers / Lines of Business. We enable analysts with data, tools, frameworks, and centralized reporting to generate insights and report on performance. We are seeking a Marketing Mix Modeling (MMM) Product Owner to lead the strategy, delivery, and adoption of vendor-based MMM capabilities. This role will define and manage the MMM product roadmap to drive data-informed marketing decisions, optimize investments, and improve business outcomes. You will collaborate with marketing analytics, marketing, finance, data science, and engineering teams to ensure models provide actionable, trusted, and timely insights.

The ideal candidate is motivated, embraces Agile ways of working, fosters a positive team atmosphere, supports a fail-fast philosophy, and drives for results. They should have a product mindset focused on the customer and delivering value, and be able to motivate and support a team with a long delivery roadmap. They must be confident in technical and analytical skills, able to develop a long-term product roadmap, translate business goals into data-driven insights, and guide the team toward efficiency, automation and innovation. The role requires experience working with analysts to utilize MMM and related tools to drive growth and efficiency, and familiarity with experimentation to enrich MMM. The candidate should stay informed on marketing measurement ecosystems and the evolution of MMM and related approaches.

Key Responsibilities

• Product Strategy & Roadmap

Define and articulate the vision, strategy, and roadmap for MMM capabilities aligned with business objectives.

Act as primary liaison between the vendor and internal teams supporting and consuming outputs across marketing, finance, analytics, and engineering.

Own the MMM product backlog; manage epics, stories, and tasks with clear acceptance criteria.

Design processes and tools to integrate MMM outputs into marketing planning and budget allocation. Drive scenario planning capabilities leveraging MMM outputs for what-if analyses and optimization.

Define and track success metrics for MMM, including accuracy, ROI impact, and user adoption.

Translate complex model outputs into clear, actionable insights for marketing and finance stakeholders.

Qualifications

Bachelor's degree in Marketing, Business, Economics, Data Science, Statistics, or related field or equivalent work experience

Experience in a relevant industry with large-scale marketing investments.

Work Arrangement

EEO & Compliance

Salary & Benefits

Posting Note

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