SVP Head of Marketing Data and Platforms

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

At U.S. Bank, we are committed to driving forward with a customer-first approach. We empower our clients with data-driven insights and seamless experiences, ensuring they thrive in a rapidly evolving financial landscape. Our Marketing Data team is at the heart of this transformation, leveraging advanced analytics, artificial intelligence, and customer-centric insights to shape the future of financial services.

Position Summary

The Marketing Data Products & Platforms (DPP) Leader serves as the MACX business owner for the marketing data and analytics ecosystem that powers enterprise and line-of-business decision-making. This leader is accountable for Marketing’s data product strategy, governance, adoption, and modernization agenda, including advancing a scalable data-as-a-product operating model.

The role will transform data into a strategic business asset by establishing trusted, reusable, and well-governed data products as the preferred foundation for analytics, insights, activation, and performance measurement. This leader will align investments with business priorities, champion a data-driven culture, and deliver measurable improvements in marketing effectiveness, customer outcomes, and decision-making.

Key Responsibilities

Marketing Data Strategy & Operating Model

• •Define and lead the multi-year Marketing Data Products & Platforms (DPP) strategy and roadmap, aligning data investments with business priorities, customer outcomes, and enterprise objectives.
• •Establish and scale a data-as-a-product operating model, including business ownership, governance, adoption, and value realization.
• •Set portfolio priorities and investment strategies that maximize business impact, improve marketing effectiveness, and accelerate data-driven decision-making.
• •Partner across Marketing, Analytics, Data, Technology, and Business leadership teams to shape and execute the future-state marketing data and analytics strategy.

Data & Analytics Modernization

• •Lead Marketing's analytics modernization strategy, ensuring capabilities evolve to meet current and future business needs.
• •Champion the adoption of trusted, reusable, and well-governed data products that improve measurement, insights, activation, and decision-making.
• •Drive the transition from fragmented data assets toward standardized "gold" data products that serve as the foundation for analytics across Marketing.
• •Partner with business leaders to identify and prioritize high-impact analytics opportunities that drive measurable business outcomes.
• •Leverage analytics, AI, and emerging data capabilities to enhance marketing performance, customer outcomes, and business growth.

Governance, Quality & Trust

• •Operationalize governance and “quality by design” across data ecosystems (access, stewardship, controls)
• •Strengthen confidence in data through consistent governance, business ownership, and clear definitions of critical data assets.
• •Ensure data products and analytics outputs meet regulatory, risk, and business requirements while maintaining trust across stakeholders.

Business Partnership & Influence

• •Serve as a strategic advisor to senior business leaders on analytics, insights, and data-driven decision-making
• •Build deep understanding of line-of-business goals, identifying risks and opportunities
• •Communicate executive-ready updates, clearly articulating tradeoffs, risks, and dependencies

Adoption & Value Realization

• •Drive MACX adoption of data products, self-service analytics, and data-driven decision-making across Marketing and business stakeholders.
• •Champion data literacy and enable teams to effectively leverage trusted data assets to improve business performance.
• •Establish adoption, usage, and value realization metrics to measure the impact of data products and analytics investments.
• •Foster a culture of continuous improvement by enhancing the overall data consumption experience and simplifying access to trusted insights.

Leadership & Talent Development

• •Build, lead, and develop high-performing teams across data products, analytics, governance, and business intelligence.
• •Foster a culture of accountability, continuous improvement, and data-driven decision-making.
• •Develop future leaders and strengthen organizational capabilities in data products, analytics, and business strategy.
• •Oversee strategic partnerships and external vendors to accelerate business outcomes and innovation.

What Success Looks Like

• •Establish Marketing's data and analytics ecosystem as the preferred foundation for analytical decision-making.
• •Make trusted "gold" data products the default source of truth, reducing duplication and increasing consistency, transparency, and reuse.
• •Execute a multi-year marketing data and analytics strategy that improves marketing effectiveness, customer outcomes, and measurable business value.
• •Increase adoption of data products and self-service analytics, enabling faster, more informed, and more consistent decision-making.
• •Foster a data-driven culture grounded in trust, accountability, transparency, and continuous value realization.

Basic Qualifications

• •Bachelor’s degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Finance, or related)
• •12+ years of relevant experience in business insights and data analytics

Preferred Skills & Experience:

• •Master’s degree in Data Analytics, Business Administration, Finance, Economics, or a related field.
• •15+ years of leadership experience across data analytics, data products, business intelligence, or enterprise data strategy.
• •Experience establishing and scaling data product operating models, including business ownership, governance, adoption, and value realization.
• •Demonstrated ability to translate data and analytics investments into measurable business outcomes.
• •Proven success influencing senior executives and shaping business strategy through data, analytics, and insights.
• •Strong executive communication, stakeholder management, prioritization, and organizational change capabilities.
• •Track record of leading enterprise transformation and fostering data-driven decision-making.
• •Experience in financial services or another highly regulated industry preferred.

Data, Analytics & Domain Expertise

• •Deep understanding of data products, analytics operating models, enterprise data strategy, and trusted data management.
• •Experience leveraging analytics, AI, and customer insights to improve marketing effectiveness, customer engagement, and business growth.
• •Knowledge of marketing, customer, digital, activation, and performance measurement frameworks.
• •Strong understanding of data governance, stewardship, quality, metadata, lineage, privacy, risk, and responsible data use.
• •Experience translating complex business and customer needs into actionable insights and measurable outcomes.
• •Ability to balance strategic vision with execution and drive enterprise adoption of data products and analytics capabilities.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants .

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health