Job DescriptionThe Research & Data Science Team within People Analytics is seeking a Leader to manage a team of researchers and data scientists focused on generating actionable workforce insights through advanced analytics, research design, and data science. This role combines people leadership, stakeholder management, scientific rigor, and technical expertise to solve complex business and talent challenges across the organization.
The leader will oversee a team of three professionals spanning social science research and data science disciplines while partnering closely with stakeholders across Human Resources and the business. In addition to delivering high-impact analyses, the role will help scale the team's capabilities through automation, strategic consulting and evidence-based recommendations for senior HR and business leaders.
Key Responsibilities
Team Leadership & Talent Development
- Lead, coach, and develop a team of data scientists and social science researchers with diverse technical and methodological backgrounds.
- Provide ongoing performance coaching, career development, and mentoring to individual contributors.
- Establish clear priorities and effectively manage team capacity, workload balancing, and project execution.
- Foster a culture of intellectual curiosity, continuous learning, collaboration, and scientific rigor.
- Build team capabilities in emerging analytics, machine learning, research methodologies, and qualitative data.
Research & Analytics Leadership
- Partner with HR leaders and business stakeholders to identify, prioritize, and address strategic workforce questions.
- Lead complex analytical initiatives spanning advanced statistical modeling, predictive analytics, machine learning, experimental and quasi-experimental design, program evaluation, forecasting, organizational research
- Translate complex technical findings into clear, actionable recommendations for senior leaders and executive audiences.
- Ensure research and analytical work adheres to high standards of methodological rigor and reproducibility.
- Supplement internal analyses with external research reviews, benchmarking, and evidence-based practices to inform recommendations and identify emerging workforce trends.
Data Science & Platform Leadership
- Lead the 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 processes.
- Establish and maintain reusable analytical assets that improve efficiency and consistency across projects.
- Support the transition of prototypes and research models into scalable production solutions within Databricks and enterprise data environments.
- Drive best practices related to model governance, documentation, reproducibility, and quality assurance.
- Identify opportunities to automate recurring analyses and enhance self-service analytics capabilities.
Basic Qualifications
- 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 other related analytical disciplines
- Demonstrated experience leading complex analytical projects from problem formulation through implementation and communication of results.
- Strong proficiency with 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 both technical and non-technical audiences.
- Located in or willing to relocate to Minneapolis, MN, where the majority of the team resides.
Preferred Qualifications
- 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.
Location Expectations
This role requires working from a U.S. Bank location three (3) or more days per week.
Benefits:
Our approach to benefits and total rewards considers our team members9 whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
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
Review our full benefits available by employment status here.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00
