Vice President, People Analytics-Data Science

U.S. Bank • Minneapolis, MN

5d • Hybrid

About The Position

The Research & Data Science Team within People Analytics is seeking a leader to manage three researchers and data scientists focused on generating actionable workforce insights through advanced analytics, research design, and data science. The role combines people leadership, stakeholder management, scientific rigor, and technical expertise to solve complex business and talent challenges across the organization. The leader will partner with stakeholders across Human Resources and the business, deliver high-impact analyses, and scale team capabilities through automation, strategic consulting, and evidence-based recommendations for senior HR and business leaders.

The role requires working from a U.S. Bank location three or more days per week. The position is based primarily in Minneapolis, Minnesota, and candidates must be located there or willing to relocate. The salary range is $133,365 to $156,900, with the actual range potentially varying by location. U.S. Bank also offers incentive and recognition programs, an equity stock purchase plan, 401(k) contribution, and pension, subject to eligibility requirements.

Requirements

• At least 8 years of applied experience in data science, advanced analytics, quantitative research, economics, statistics, industrial-organizational psychology, or a related discipline.
• Prior experience leading and developing technical professionals, including performance management, coaching, and workload prioritization.
• Master's degree or PhD in a quantitative field such as data science, statistics, economics, applied mathematics, computer science, operations research, industrial-organizational psychology, quantitative sociology, behavioral science, or another related analytical discipline.
• Demonstrated experience leading complex analytical projects from problem formulation through implementation and communication of results.
• Strong proficiency in statistical and analytical programming languages such as Python and/or R.
• Experience querying and transforming large datasets using SQL.
• Ability to communicate complex analytical concepts to technical and non-technical audiences.
• Located in or willing to relocate to Minneapolis, Minnesota.
• Ability to work from a U.S. Bank location three or more days per week.

Nice To Haves

• Experience working with employee, talent, learning, performance, engagement, recruiting, compensation, or organizational network data.
• Experience with Databricks, Snowflake, and cloud-based analytics environments.
• Experience deploying, scaling, and monitoring machine learning or predictive models in production environments.
• Experience conducting program evaluations and measuring the effectiveness of people-related interventions, programs, or policies.
• Familiarity with external workforce research, benchmarking studies, and industry trends.

Responsibilities

• Lead, coach, and develop a team of data scientists and social science researchers with varied technical and methodological backgrounds.
• Provide performance coaching, career development, and mentoring to individual contributors.
• Set priorities and manage team capacity, workload balance, and project execution.
• Foster intellectual curiosity, continuous learning, collaboration, and scientific rigor.
• Build team capabilities in emerging analytics, machine learning, research methodologies, and qualitative data.
• Partner with HR leaders and business stakeholders to identify, prioritize, and address strategic workforce questions.
• Lead complex analytical initiatives involving statistical modeling, predictive analytics, machine learning, experimental and quasi-experimental design, program evaluation, forecasting, and organizational research.
• Translate technical findings into actionable recommendations for senior leaders and executive audiences.
• Ensure research and analytical work meets high standards of methodological rigor and reproducibility.
• Use external research reviews, benchmarking, and evidence-based practices to inform recommendations and identify workforce trends.
• Lead development of scalable analytical solutions using modern data science tools and technologies.
• Partner with data engineering teams to operationalize and automate analytical workflows, models, and reporting.
• Establish reusable analytical assets that improve project efficiency and consistency.
• Support transition of prototypes and research models into scalable production solutions within Databricks and enterprise data environments.
• Drive best practices in model governance, documentation, reproducibility, and quality assurance.
• Identify opportunities to automate recurring analyses and improve self-service analytics capabilities.

Benefits

• Healthcare coverage, including medical, dental, and vision.
• Basic term and optional term life insurance.
• Short-term and long-term disability insurance.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation of two to five weeks, depending on salary grade and tenure.
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accrual of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
• Incentive and recognition programs.
• Equity stock purchase plan.
• Pension.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior