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

SVP - Data Analytics Leader, Marketing Data Products & Platforms (DPP)

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 is accountable for building and operating the analytics ecosystem that powers enterprise and line-of-business decisioning. This includes leading analytics platforms, driving cloud modernization, and scaling a “data as a product” operating model for Marketing.

This role owns a portfolio spanning data products, platform engineering and cloud environments, as well as governance and enablement—with a mandate to make trusted, reusable “gold” data assets the default path for analytics consumption and measurable business outcomes.

This leader will define and execute an integrated roadmap across platform and data product modernization, advancing core capabilities in governance, data quality, observability, metadata and lineage, and operational excellence to ensure platforms are reliable, secure, and broadly adopted.

Key Responsibilities

Marketing Data Strategy & Operating Model

• Define and lead the multi-year DPP strategy and roadmap across platforms, data products, and analytics enablement
• Mature and scale a data-as-a-product model, including ownership, lifecycle management, SLAs, and adoption
• Align analytics investments to business priorities, long-term value creation, and financial performance

Data Platforms & Modernization

• Own end-to-end analytics platform operations (availability, performance, security, and cost)
• Lead cloud modernization and reduce legacy dependency and technical debt
• Enable secure, governed deployment of AI/ML and advanced analytics capabilities

Data Products & Insights Delivery

• Deliver and scale reusable, curated “gold” data products with clear ownership, quality standards, and service levels
• Partner with business leaders to identify and prioritize high-impact analytics use cases
• Translate data into actionable insights that drive measurable business outcomes

Governance, Quality & Trust

• Operationalize governance and “quality by design” across data ecosystems (access, stewardship, controls)
• Advance capabilities in data quality, observability, metadata, and lineage
• Ensure compliance, reliability, and trust in enterprise analytics environments

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

Operational Excellence & Adoption

• Drive platform reliability, monitoring, incident response, and service excellence
• Drive enterprise adoption of self-service analytics, data democratization, and data literacy
• Ensure platforms and products are usable, scalable, and broadly adopted—not just delivered

Leadership & Talent Development

• Build, lead, and develop high-performing teams across data engineering, analytics, and BI
• Foster a culture of accountability, continuous improvement, and data-driven decision-making
• Oversee external partners and vendors to ensure delivery