- Job Title: Marketing Mix Modeling Product Owner
- Company: U.S. Bank
- Location: Minneapolis, MN (with remote flexibility)
- Job Type: Full-Time, Hybrid (3+ days on-site)
- Category: Marketing, Analytics, Product Management
- Date Posted: July 18, 2025
- Experience Level: 8+ years in statistical or data analytics field
🚀 Job Overview
Key aspects of this role include:
- Defining and managing the MMM product roadmap to drive data-informed marketing decisions.
- Collaborating with various teams to ensure actionable insights are generated from marketing data.
- Integrating MMM outputs into marketing planning and budget allocation processes.
- Overseeing model calibration, validation, and refreshes.
- Translating complex model outputs into clear, actionable insights and recommendations.
ASSUMPTION: This role requires a strong understanding of marketing measurement, MMM methodologies, and optimization processes. The ideal candidate will have experience working with data science and engineering teams to deliver analytic products and be comfortable managing complex projects with multiple stakeholders.
📋 Key Responsibilities
- Product Strategy & Roadmap
- 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.
- Stakeholder Engagement
- 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.
- Delivery & Execution
- 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.
- Business Integration & Activation
- 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.
- Governance & Model Performance
- 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.
- Communication & Change Management
- 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.
ASSUMPTION: This role requires excellent communication and storytelling skills to influence and align diverse stakeholders. The ideal candidate will also be proficient in agile delivery frameworks and product backlog management.
🎯 Required Qualifications
- Education: Bachelor's degree in Marketing, Business, Economics, Data Science, Statistics, or related field.
- Experience: 8+ years of statistical and/or data analytics experience.
- Required Skills:
- Strong analytical and technical skills.
- Ability to develop a product roadmap well into the future.
- Understanding of business goals and translating them into data-driven insights.
- Proficiency in agile delivery frameworks and product backlog management.
- Ability to drive adoption and change management in a matrixed environment.
- Preferred Skills/Experience:
- Experience in 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 knowledge of MMM and its integration with experimentation and attribution frameworks.
- Deep marketing and business acumen to translate requirements into model outputs.
- Excellent communication and storytelling skills.
ASSUMPTION: While not explicitly stated, it's assumed that candidates should have experience working with data science and engineering teams to deliver analytic products and be comfortable managing complex projects with multiple stakeholders.
💰 Compensation & Benefits
- Salary Range: $133,365 - $156,900 per year (based on the primary location of Minneapolis, MN)
- Benefits:
- 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 (2-5 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
ASSUMPTION: The salary range provided is based on the primary location of Minneapolis, MN. The actual range for the role may differ based on the location of the role.
📌 Applicant Insights
🔍 Company Context
- Industry: Banking
- Company Size: 10,001+ employees
- Founded: 1863 (as First National Bank of Minneapolis)
- Company Description: U.S. Bank helps millions of clients achieve their goals with a balance of best-in-class technology and human expertise tailored to individual needs. They offer a wide range of financial services, including commercial and institutional banking, business banking, payments, wealth management, and consumer banking.
- Company Specialties: Asset-based lending, commercial lending, custody services, equipment financing, foreign exchange, fund services, global payments and receivables, liquidity and asset management, loan syndication, market risk management, payment processing, treasury management, supply chain financing, wealth management, mortgage, home equity, deposits, loans, and banking services.
📊 Role Analysis
- Career Level: Mid-Senior level
- Reporting Structure: This role reports to the Head of Marketing Analytics and Technology.
- Work Arrangement: Hybrid (3+ days on-site)
- Growth Opportunities:
- Potential to grow into a senior product management role within the Marketing Analytics and Technology team.
- Opportunities to work on high-impact projects and drive business outcomes.
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to expand their impact and influence within the team and across the broader organization.
🌍 Location & Work Environment
- Office Type: Hybrid (3+ days on-site)
- Office Location(s): Minneapolis, MN (with remote flexibility)
- Geographic Context: Minneapolis, MN is located in the Upper Midwest region of the United States. It offers a mix of urban and suburban living, with a cost of living slightly below the national average.
- Work Schedule: Full-time, with a standard workweek of 40 hours.
ASSUMPTION: While this role is based in Minneapolis, MN, U.S. Bank offers remote flexibility, allowing for a more balanced work-life arrangement.
💼 Interview & Application Insights
- Typical Process:
1. Online application submission.
2. Phone or video screen with a member of the HR team.
3. Technical assessment or case study review.
4. On-site or video interview with the hiring manager and team members.
5. Final interview with senior leadership.
- Key Assessment Areas:
- Technical skills and knowledge of MMM methodologies.
- Product management and roadmap development skills.
- Stakeholder engagement and communication skills.
- Ability to manage complex projects and drive change.
- Application Tips:
1. Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
2. Prepare for behavioral and situational interview questions that assess your problem-solving skills and ability to manage projects with multiple stakeholders.
3. Familiarize yourself with U.S. Bank's products, services, and company culture to demonstrate your fit for the role.
ASSUMPTION: U.S. Bank's interview process is designed to assess candidates' technical skills, problem-solving abilities, and cultural fit. Being prepared with specific examples and a clear understanding of the role's requirements will help you succeed in the interview process.
ASSUMPTION: The specific tools and technologies required for this role may vary depending on U.S. Bank's current tech stack and the candidate's areas of expertise.
👔 Cultural Fit Considerations
- Company Values: U.S. Bank's values include integrity, accountability, collaboration, and diversity and inclusion. Candidates should demonstrate a strong alignment with these values.
- Work Style: U.S. Bank fosters a collaborative and inclusive work environment, with a focus on teamwork, innovation, and continuous learning. Candidates should be comfortable working in a matrixed organization and driving change in a dynamic business landscape.
- Self-Assessment Questions:
1. How do you ensure that your work aligns with U.S. Bank's values and promotes a positive work environment?
2. Describe a time when you had to drive change in a complex project with multiple stakeholders. How did you approach this challenge, and what was the outcome?
3. How do you stay up-to-date with industry trends and best practices in marketing measurement and analytics?
ASSUMPTION: U.S. Bank places a strong emphasis on cultural fit and values-driven decision-making. Candidates should be prepared to demonstrate their alignment with the company's values and work style preferences.
⚠️ Potential Challenges
- Role-specific Challenges:
- Managing a complex product roadmap with multiple stakeholders and competing priorities.
- Integrating MMM outputs into existing marketing planning and budget allocation processes.
- Ensuring the accuracy and reliability of MMM models in a dynamic business environment.
- Company-specific Challenges:
- Navigating a large, matrixed organization with multiple lines of business and functional areas.
- Balancing the need for innovation and agility with the requirements of a highly regulated industry.
- Industry-specific Challenges:
- Keeping up with the evolving marketing measurement landscape and emerging technologies.
- Addressing data privacy concerns and ensuring compliance with relevant regulations.
ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for the right candidate to drive meaningful impact and grow within their role.
📈 Similar Roles Comparison
- Role Differentiators:
- This role focuses on marketing mix modeling, while similar roles may focus on other aspects of marketing analytics, such as attribution, customer segmentation, or predictive modeling.
- This role requires a strong understanding of MMM methodologies and their integration with experimentation and attribution frameworks.
- This role offers the opportunity to work with a large, established financial institution with a significant marketing budget and a strong commitment to data-driven decision-making.
- Industry Context: Marketing mix modeling is a critical component of marketing analytics in various industries, including banking, retail, CPG, and e-commerce. However, the specific challenges and opportunities may vary depending on the industry and the organization's size and structure.
- Career Path Comparison: This role offers a clear path for growth within the Marketing Analytics and Technology team and the broader organization. Similar roles may offer comparable growth opportunities, depending on the company's structure and career development programs.
ASSUMPTION: While this role shares similarities with other marketing analytics positions, its unique focus on marketing mix modeling and the specific industry context set it apart from related roles.
📝 Sample Projects
- Role-specific Projects:
- Developing and implementing a new MMM model to optimize marketing spend and improve ROI for a major marketing campaign.
- Integrating MMM outputs into a marketing planning tool to enable scenario planning and what-if analyses.
- Conducting a comprehensive review of U.S. Bank's MMM vendor relationships and recommending strategic improvements to enhance model accuracy and efficiency.
- Industry-specific Projects:
- Collaborating with a cross-functional team to develop a new MMM framework for a retail client, enabling them to optimize their marketing spend and improve customer acquisition costs.
- Conducting a competitive analysis of MMM vendors and recommending best-in-class solutions for a CPG client looking to enhance their marketing measurement capabilities.
ASSUMPTION: These sample projects illustrate the types of initiatives the Marketing Mix Modeling Product Owner may work on, demonstrating the role's focus on driving data-informed marketing decisions and improving business outcomes.
❓ Key Questions to Ask During Interview
1. Role Responsibilities: Can you describe the most challenging aspect of managing the MMM product roadmap, and how have you approached it in previous roles?
2. Team Structure: How does the Marketing Analytics and Technology team collaborate with other marketing, finance, and data science teams within U.S. Bank?
3. Company Culture: How does U.S. Bank support work-life balance and employee development in a hybrid work environment?
4. Growth Opportunities: What are the potential career growth paths for this role, and how has the team supported the development of previous team members?
5. Work Environment: How does U.S. Bank foster innovation and agility in a highly regulated industry, and what resources are available to support employees in driving change?
ASSUMPTION: Asking these questions will help you better understand the role's requirements, the team's dynamics, and U.S. Bank's commitment to employee growth and development.
📌 Next Steps for Applicants
To apply for this position:
1. Submit your application through the [U.S. Bank Careers portal](https://careers.usbank.com/job/Minneapolis-MN/Marketing-Mix-Modeling-Product-Owner_2025-0016435).
2. Tailor your resume and cover letter to highlight your relevant skills and experiences for this role.
3. Prepare for behavioral and situational interview questions that assess your problem-solving skills and ability to manage projects with multiple stakeholders.
4. Familiarize yourself with U.S. Bank's products, services, and company culture to demonstrate your fit for the role.
5. Follow up with the hiring manager or HR representative after your interview to express your interest in the role and reiterate your qualifications.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
