Marketing Mix Modeling Product Owner

About the Role

Key Responsibilities

• Define and articulate the vision, strategy, and roadmap for MMM capabilities aligned with business objectives.
• Prioritize feature development and enhancements based on business value, feasibility, and stakeholder input.
• Identify opportunities to integrate MMM outputs into planning, forecasting, and optimization processes.
• Act as the primary liaison between the vendor and internal teams supporting marketing, finance, analytics, and engineering.
• Gather, refine, and prioritize requirements to ensure MMM outputs answer key business questions.
• Conduct regular stakeholder workshops to capture evolving needs and ensure adoption.
• Own the MMM product backlog; manage epics, stories, and tasks with clear acceptance criteria.
• Lead sprint planning, grooming, and retrospectives to ensure timely and quality delivery.
• Partner with the vendor, data scientists, and modelers to guide model design, refreshes, validation, and deployment.
• Design processes and tools to integrate MMM outputs into marketing planning and budget allocation.
• Drive scenario planning leveraging MMM outputs for what-if analyses and optimization.
• Define and track success metrics for MMM, including accuracy, ROI impact, and user adoption.
• Oversee model calibration and validation processes, including integration with experimentation results.
• Translate complex model outputs into clear, actionable insights and recommendations for stakeholders.
• Develop training materials, user guides, and executive summaries to build trust and literacy in MMM.

Requirements

• Bachelor's degree in Marketing, Business, Economics, Data Science, Statistics, or related field or equivalent work experience.
• Eight or more years of statistical and/or data analytics experience.
• Experience in [industry, e.g., retail, banking, CPG] with large-scale marketing investments.
• Hands-on experience with marketing analytics tools, scenario planners, or MMM software.
• Certification in Product Management, Agile (Scrum PO), or similar frameworks.
• Strong understanding of marketing measurement, MMM methodologies, and optimization processes.
• Experience working with data science and engineering teams to deliver analytic products.
• Proven ability to prioritize and manage complex projects with multiple stakeholders.
• Deep marketing and business acumen to translate requirements into model outputs.
• Strong knowledge of MMM and its integration with experimentation and attribution frameworks.
• Excellent communication and storytelling skills to influence and align diverse stakeholders.
• Proficiency in agile delivery frameworks and product backlog management.
• Ability to drive adoption and change management in a matrixed environment.

Nice to Have

• Experience in [industry, e.g., retail, banking, CPG] with large-scale marketing investments.
• Hands-on experience with marketing analytics tools, scenario planners, or MMM software.
• Certification in Product Management, Agile (Scrum PO), or similar frameworks.
• Deep marketing and business acumen to translate requirements into model outputs.
• Strong knowledge of MMM and its integration with experimentation and attribution frameworks.
• Excellent communication and storytelling skills to influence and align diverse stakeholders.
• Proficiency in agile delivery frameworks and product backlog management.
• Ability to drive adoption and change management in a matrixed environment.

Benefits & Perks

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year