SVP, Head of Marketing Data and Platforms

U.S. Bank

SVP - Data Analytics Leader at U.S. Bank driving analytics for Marketing Data Products & Platforms.

Posted 6/2/2026full-timeMinneapolis • Illinois, Minnesota • 🇺🇸 United StatesLead💰 $193,035 - $227,100 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsdata product leadershipcloud modernizationdata governancedata qualitymachine learningadvanced analyticsdata engineeringETLdata science

Soft Skills

executive communicationstrategic mindsetprioritizationinfluencedecision-makingaccountabilitycontinuous improvementdata-driven decision-makingrisk managementcollaboration