📌 Core Information
🔹 Job Title: Marketing Mix Modeling Product Owner
🔹 Company: U.S. Bank National Association
🔹 Location: Minneapolis, Minnesota, United States
🔹 Job Type: Full time
🔹 Category: Financial Services
🔹 Date Posted: 2025-07-18
🔹 Experience Level: 10+ years
🔹 Remote Status: Hybrid (3+ days on-site)
🚀 Job Overview
Key aspects of this role include:
- Defining and managing the MMM product roadmap aligned with business objectives
- Collaborating with marketing, finance, analytics, and engineering teams to ensure actionable insights
- Integrating MMM outputs into planning, forecasting, and optimization processes
- Driving adoption and change management in a matrixed environment
- Leveraging experimentation to enrich the MMM product
ASSUMPTION: This role requires a strong product mindset, technical and analytical skills, and the ability to understand and translate business needs into data-driven insights.
📋 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 and consuming the outputs
✅ 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
ASSUMPTION: This role requires strong communication and storytelling skills to influence and align diverse stakeholders.
🎯 Required Qualifications
Education: Bachelor's degree in Marketing, Business, Economics, Data Science, Statistics, or related field
Experience: Eight or more years of statistical and/or data analytics experience
Required Skills:
- 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
Preferred Skills:
- 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 understanding of marketing measurement, MMM methodologies, and optimization processes
- Experience working with data science and engineering teams to deliver analytic products
ASSUMPTION: Preferred qualifications include experience in large-scale marketing investments and strong knowledge of MMM methodologies.
💰 Compensation & Benefits
Salary Range: $133,365 - $156,900 per year
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 (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 unless otherwise provided by law
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role.
📌 Applicant Insights
🔍 Company Context
Industry: Financial Services
Company Size: 1,001-5,000 employees
Founded: 1863 (as U.S. Bank, National Association)
Company Description:
- U.S. Bank is a diversified financial services company, offering a full range of banking, investment, mortgage, and credit card services to consumers, businesses, and institutions
- With 74,000 employees and operations in all 50 states, the company has assets of $556 billion
- U.S. Bank is headquartered in Minneapolis, Minnesota
Company Specialties:
- Retail Banking
- Commercial Banking
- Payment Services
- Investment and Wealth Management
- Mortgage Banking
Company Website: www.usbank.com
ASSUMPTION: U.S. Bank is a large, established financial institution with a wide range of products and services.
📊 Role Analysis
Career Level: Mid-level to senior
Reporting Structure: This role reports to the Head of Marketing Analytics and Technology
Work Arrangement: Hybrid (3+ days on-site)
Growth Opportunities:
- Potential to lead a team of analysts and contribute to the development of the Marketing Analytics and Technology function
- Opportunity to work on high-impact projects that drive business growth and efficiency
- Possibility to advance to a senior role within the Marketing Analytics and Technology team or related functions
ASSUMPTION: This role offers growth opportunities for motivated professionals looking to advance their careers in marketing analytics.
🌍 Location & Work Environment
Office Type: Hybrid (combination of on-site and remote work)
Office Location(s): Minneapolis, Minnesota
Geographic Context:
- Minneapolis is the largest city in the state of Minnesota, with a population of approximately 430,000
- The city is known for its strong job market, particularly in finance, healthcare, and technology
- Minneapolis has a four-season climate, with cold winters and warm summers
Work Schedule: Full-time (40 hours per week), with flexibility for remote work
ASSUMPTION: Minneapolis offers a vibrant urban environment with a strong job market and a diverse range of cultural attractions.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening
- In-person or virtual interview with the hiring manager
- Final round interview with key stakeholders
- Background check and offer
Key Assessment Areas:
- Technical skills in marketing mix modeling, data analytics, and agile methodologies
- Communication and presentation skills
- Problem-solving and analytical skills
- Stakeholder management and collaboration skills
- Understanding of business objectives and marketing measurement frameworks
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role
- Prepare for behavioral and situational interview questions that assess your problem-solving, communication, and leadership skills
- Research U.S. Bank and the Marketing Analytics and Technology team to demonstrate your understanding of the company and role
- Prepare questions to ask the interviewer about the team, company culture, and growth opportunities
ATS Keywords: Marketing Mix Modeling, Product Owner, Agile, Data Analytics, Stakeholder Engagement, Business Integration, Model Calibration, Change Management, Marketing Measurement, Experimentation, Optimization Processes
ASSUMPTION: U.S. Bank uses an Applicant Tracking System (ATS) to manage job applications, and including relevant keywords in your resume can improve your chances of being selected for an interview.
🛠️ Tools & Technologies
- Marketing Mix Modeling software (e.g., Nielsen, Kantar, IRI)
- Data analytics tools (e.g., SQL, Python, R, Tableau, Power BI)
- Agile project management tools (e.g., JIRA, Asana, Trello)
- Collaboration and communication tools (e.g., Microsoft Office Suite, Google Workspace, Slack)
ASSUMPTION: This role requires proficiency in marketing mix modeling software, data analytics tools, and agile project management tools.
👔 Cultural Fit Considerations
Company Values:
- Putting customers first
- Working together
- Acting with integrity
- Fostering an inclusive environment
- Driving with purpose
Work Style:
- Collaborative and team-oriented
- Agile and adaptable
- Data-driven and analytical
- Results-focused and action-oriented
- Inclusive and respectful
Self-Assessment Questions:
- How do you align with U.S. Bank's core values, particularly 'Putting customers first' and 'Working together'?
- How do you approach working in a hybrid environment, balancing on-site and remote work?
- How do you ensure clear and effective communication with diverse stakeholders, both in-person and virtually?
ASSUMPTION: U.S. Bank values a strong cultural fit, with an emphasis on collaboration, inclusivity, and customer focus.
⚠️ Potential Challenges
- Managing multiple stakeholders with varying priorities and expectations
- Keeping up with the latest marketing measurement trends and technologies
- Balancing short-term deliverables with long-term strategic initiatives
- Working effectively in a hybrid environment, balancing on-site and remote collaboration
- Ensuring data quality and accuracy in marketing mix modeling outputs
ASSUMPTION: This role presents challenges related to stakeholder management, staying current with industry trends, and balancing short-term and long-term priorities.
📈 Similar Roles Comparison
- This role is unique in its focus on marketing mix modeling and its integration with experimentation and attribution frameworks
- Compared to related roles in marketing analytics, this position requires a deeper understanding of MMM methodologies and optimization processes
- Career progression in this role may lead to senior positions within the Marketing Analytics and Technology team or related functions
ASSUMPTION: This role offers a unique blend of marketing analytics, data-driven decision-making, and strategic planning, setting it apart from similar positions.
📝 Sample Projects
- Developing and implementing a marketing mix modeling framework to optimize marketing investments across channels
- Conducting what-if analyses and scenario planning to evaluate the impact of marketing strategy changes
- Integrating MMM outputs with experimentation results to improve model accuracy and ROI
ASSUMPTION: These sample projects illustrate the real-world application of marketing mix modeling and its integration with experimentation and attribution frameworks.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader Marketing Analytics and Technology team and U.S. Bank's overall marketing strategy?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does U.S. Bank support the professional development and growth of its marketing analytics team members?
- What is the team's approach to collaboration and communication in a hybrid work environment?
- How does U.S. Bank measure the success of its marketing mix modeling initiatives, and what are the key performance indicators (KPIs) for this role?
ASSUMPTION: These interview questions help assess the role's fit with your skills, career goals, and work preferences.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role
- Prepare for behavioral and situational interview questions that assess your problem-solving, communication, and leadership skills
- Research U.S. Bank and the Marketing Analytics and Technology team to demonstrate your understanding of the company and role
- Prepare questions to ask the interviewer about the team, company culture, and growth opportunities
- Follow up with the hiring manager one week after your final interview to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
