Head of Consumer Bank Data Analytics, CX and Research

U.S. Bank

Senior leader in Consumer Banking data analytics at U.S. Bank driving customer insights with advanced analytics.

Posted 6/9/2026full-timeMinneapolis • Illinois, Minnesota, North Carolina, Ohio • 🇺🇸 United StatesLead💰 $214,795 - $252,700 per yearWebsite

Tech Stack

Tools & technologies

AzurePythonSQLTableau

About the role

Key responsibilities & impact

Lead end‑to‑end analytics across Consumer Banking to improve customer acquisition, relationship deepening, retention, profitability, and operational efficiency.
Define and implement KPIs, dashboards, and performance metrics aligned to business outcomes.
Develop and deploy predictive AI/ML models, segmentation frameworks, and product and pricing analytics.
Apply advanced statistical methods to analyze, synthesize, and interpret complex data.
Ensure insights strategies align with Consumer Banking goals and expected outcomes.
Present insights in clear, visually compelling formats for executive and business audiences.
Identify, acquire, and manage data sources while ensuring data quality, governance, and security.
Build a deep understanding of customer needs, sentiments, and pain points to enable empathetic, customer‑centric decision‑making.
Map and analyze end‑to‑end customer journeys to identify opportunities to improve experiences across touchpoints.
Design and lead qualitative and quantitative research to inform CX strategy, product innovation, and service improvements.
Leverage VoC, CSAT, behavioral analytics, and journey insights to drive continuous CX improvement.
Champion and partner on inner‑ and outer‑loop CX processes to ensure insights lead to action.
Collaborate with Product, Marketing, Business Line, and Technology partners to optimize experiences and expand self‑service capabilities.
Build, lead, and develop high‑performing teams of data scientists, analysts, CX strategists, and researchers.
Serve as a trusted advisor and thought leader to senior and executive leadership.
Align analytics and CX initiatives with enterprise and Consumer Banking strategies.
Drive transformation initiatives focused on efficiency, scalability, and impact.
Anticipate and respond quickly to changing market conditions, technologies, and customer expectations.
Provide overall operational leadership, including financial management, vendor and agency oversight, and talent planning.

Requirements

What you’ll need

15+ years of experience in data analytics, customer experience, research, or related fields, with demonstrated leadership in banking, fintech, or financial services.
Master’s degree preferred in Data Analytics, Business, Finance, Economics, or a related quantitative discipline.
Deep expertise in advanced analytics, predictive modeling, AI/ML, and customer experience strategy.
Strong knowledge of consumer banking products, including deposits, lending, payments, and digital services.
Proficiency with analytics and visualization platforms such as Azure, SQL, Python, SAS, Power BI, Tableau, or similar tools.
Experience with CX platforms (e.g., Qualtrics Experience Manager) and digital banking technologies.
Exceptional leadership, communication, and stakeholder-management skills.
Proven ability to plan, execute, and interpret research and surveys to improve customer experience, with strong empathy for customer needs.
Advanced capability to lead organizational change across people, culture, technology, and processes.
Strong understanding of marketing technology ecosystems and applied statistical concepts.
Demonstrated expertise in selecting, managing, and optimizing vendor and agency partnerships.

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 analyticscustomer experience strategypredictive modelingAI/MLadvanced analyticsstatistical methodsresearch executionperformance metricsKPI developmentdata quality management

Soft Skills

leadershipcommunicationstakeholder managementempathycollaborationstrategic thinkingchange managementteam developmentcustomer-centric decision-makingoperational leadership