Jobright.ai
Senior Marketing Mix Modeling Product Owner
Jobright.ai, Minneapolis, Minnesota, United States, 55443
Senior Marketing Mix Modeling Product Owner Join to apply for the
Senior Marketing Mix Modeling Product Owner
role at
Jobright.ai
The information below covers the role requirements, expected candidate experience, and accompanying qualifications. Senior Marketing Mix Modeling Product Owner 4 days ago Be among the first 25 applicants Join to apply for the
Senior Marketing Mix Modeling Product Owner
role at
Jobright.ai U.S. Bank is dedicated to helping customers and businesses make smarter financial decisions. They are seeking a Marketing Mix Modeling Product Owner to lead the strategy, delivery, and adoption of their vendor-based MMM capabilities, collaborating closely with various teams to provide actionable insights and improve business outcomes. 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 and consuming the outputs marketing, finance, analytics, and engineering teams. • 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 capability 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 marketing and finance stakeholders. • Develop training materials, user guides, and executive summaries to build trust and literacy in MMM. Qualifications: Required: • 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 Preferred: • 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. Company: At U.S. Founded in 1968, the company is headquartered in Minneapolis, Minnesota, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionProduct Management IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Product Owner jobs in
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Senior Marketing Mix Modeling Product Owner
role at
Jobright.ai
The information below covers the role requirements, expected candidate experience, and accompanying qualifications. Senior Marketing Mix Modeling Product Owner 4 days ago Be among the first 25 applicants Join to apply for the
Senior Marketing Mix Modeling Product Owner
role at
Jobright.ai U.S. Bank is dedicated to helping customers and businesses make smarter financial decisions. They are seeking a Marketing Mix Modeling Product Owner to lead the strategy, delivery, and adoption of their vendor-based MMM capabilities, collaborating closely with various teams to provide actionable insights and improve business outcomes. 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 and consuming the outputs marketing, finance, analytics, and engineering teams. • 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 capability 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 marketing and finance stakeholders. • Develop training materials, user guides, and executive summaries to build trust and literacy in MMM. Qualifications: Required: • 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 Preferred: • 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. Company: At U.S. Founded in 1968, the company is headquartered in Minneapolis, Minnesota, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionProduct Management IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Product Owner jobs in
Minneapolis, MN . Minneapolis, MN $105,400.00-$124,000.00 1 day ago Minneapolis–Saint Paul, WI $90,000.00-$155,000.00 3 days ago Minneapolis, MN $92,820.00-$109,200.00 3 days ago Minneapolis, MN $120,000.00-$140,000.00 5 days ago Plymouth, MN $73,300.00-$117,200.00 4 days ago Minneapolis, MN $105,400.00-$124,000.00 4 days ago Lake Elmo, MN $98,400.00-$199,000.00 6 days ago Business Product Owner – PBS Operations, Mid-Level Minnetonka, MN $70,000.00-$140,000.00 1 month ago Minneapolis, MN $180,000.00-$220,000.00 1 month ago Digital and Technology MDM Product Owner Minneapolis, MN $86,000.00-$142,000.00 5 days ago Director of Digital Experience, Product Owner Minneapolis, MN $128,400.00-$173,300.00 2 weeks ago Minneapolis, MN $228,000.00-$285,000.00 1 week ago White Bear Lake, MN $26.00-$34.00 1 week ago Plymouth, MN $142,000.00-$243,000.00 1 week ago Business Development Director, Ecosystem Greater Minneapolis-St. Paul Area $195,000.00-$252,500.00 2 days ago Staff Product Manager, Consumer Account ManagementSenior Sourcing Manager- New Product Development Anoka, MN $146,300.00-$271,700.00 5 days ago Senior Manager, Consumer Insights & Business Analytics Minneapolis, MN $126,700.00-$211,200.00 5 days ago Minneapolis, MN $80,000.00-$181,000.00 1 week ago Senior Director of Migration Strategy and Execution Bloomington, MN $127,500.00-$170,000.00 2 days ago Senior Manager of Data Management - Global Employer Services Business Technology Center Minneapolis, MN $186,970.00-$283,270.00 1 week ago Product Marketing Senior Manager - Finance Solutions Minneapolis, MN $137,000.00-$197,000.00 5 days ago Minneapolis, MN $104,900.00-$141,600.00 1 week ago Senior Product Marketing Manager (Practical Law) Eagan, MN $99,400.00-$184,600.00 2 weeks ago Tax Senior Manager - Global Trade Advisory Minneapolis, MN $152,530.00-$347,230.00 1 week ago Solution Product Owner Sr Provider/Client Member Data Minneapolis, MN $94,000.00-$160,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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