Vice President, People Analytics-Data Science
About The Position
The Research & Data Science Team within U.S. Bank’s People Analytics organization is seeking a leader to manage researchers and data scientists who generate actionable workforce insights through advanced analytics, research design, and data science. The role combines people leadership, stakeholder management, scientific rigor, and technical expertise to address complex business and talent challenges across the organization. The leader oversees a team of three professionals across social science research and data science and partners with stakeholders in Human Resources and the business. The role also scales the team’s capabilities through automation, strategic consulting, and evidence-based recommendations for senior HR and business leaders. The position leads and develops the team, sets priorities, balances workload, and fosters intellectual curiosity, learning, collaboration, and scientific rigor. It partners with HR leaders and business stakeholders on strategic workforce questions, directs complex analytical and research initiatives, and translates findings into recommendations for senior and executive audiences. It also guides scalable analytical solutions, partners with data engineering teams to automate workflows, supports production deployment in Databricks and enterprise data environments, and establishes practices for reusable assets, governance, documentation, reproducibility, and quality assurance. The role is based at a U.S. Bank location three or more days per week. Candidates should be located in or willing to relocate to Minneapolis, Minnesota, where the majority of the team resides.
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 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 technical and non-technical audiences.
- Located in or willing to relocate to Minneapolis, Minnesota.
- Able 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 diverse technical and methodological backgrounds.
- Provide performance coaching, career development, and mentoring to individual contributors.
- Establish 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 complex technical findings into clear, actionable recommendations for senior leaders and executive audiences.
- Ensure research and analytical work meets standards for methodological rigor and reproducibility.
- Use external research reviews, benchmarking, and evidence-based practices to inform recommendations and identify workforce trends.
- 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 to improve project efficiency and consistency.
- Support the transition of prototypes and research models into scalable production solutions within Databricks and enterprise data environments.
- Drive best practices for model governance, documentation, reproducibility, and quality assurance.
- Identify opportunities to automate recurring analyses and improve self-service analytics capabilities.
Benefits
- Medical, dental, and vision healthcare coverage.
- Basic term and optional term life insurance.
- Short-term and long-term disability coverage.
- 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 hours 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, subject to eligibility requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
