SVP Head of Marketing Data and Platforms

U.S. Bank•Minneapolis, MN

3d•$193,035 - $227,100

About The Position

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. 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.

Requirements

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

Nice To Haves

Master’s degree in Data Analytics, Business, Finance, Economics, or a related quantitative field
15+ years of experience in data analytics, platforms, or data product leadership, including senior leadership experience
Experience within Consumer and Business Banking or financial services
Proven success leading enterprise data platform and cloud modernization initiatives
Experience establishing and scaling data product operating models (ownership, SLAs, lifecycle)
Demonstrated ability to partner with senior executives and influence business strategy through data and analytics
Strong executive communication skills with a focus on clarity, decision-making, and impact
Strategic mindset with strengths in prioritization, tradeoff management, and value creation
Track record of driving enterprise data adoption and culture transformation
Experience with modern cloud and analytics platforms (e.g., Azure, AWS, Databricks, Snowflake)
Proficiency in analytics and BI tools (e.g., SQL, Python, Tableau, Power BI, SAS, Alteryx)
Strong understanding of data engineering concepts (ETL/ELT, pipelines, orchestration, cloud migration)
Experience applying advanced analytics, machine learning, and data science techniques
Expertise in data governance, data quality, and metadata/lineage practices, including supporting tools at scale

Responsibilities

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
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
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
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
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
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
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 against strategic outcomes
Establish the primary enterprise analytics ecosystem, widely adopted across the business
Make “gold” data products the default source of truth, reducing duplication and increasing reuse
Deliver a balanced roadmap across platform modernization, data product scale, and governance maturity
Enable consistent, high-quality insights that drive strategic and operational decisions
Strengthen operational rigor across reliability, resilience, compliance, and performance

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
Incentive and recognition programs
Equity stock purchase
401(k) contribution and pension