Vice President, People Analytics-Data Science

U.S. Bank

Minneapolis (MN)

Presencial

USD 133.000 - 157.000

Jornada completa

Hace 11 días

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Ventajas ofrecidas por este puesto de trabajo

Healthcare
Retirement plan
Paid vacation
Adoption assistance

Descripción de la vacante

U.S. Bank is seeking a Leader to oversee a team of researchers and data scientists focused on generating actionable workforce insights through advanced analytics, research design, and data science.

The role combines people leadership, stakeholder engagement, and rigorous methods to address strategic HR and business questions. It also involves scaling capabilities, automating processes, and delivering evidence-based recommendations to executives.

Formación

  • 8+ years of applied experience in data science, analytics, or related fields.
  • Experience leading technical professionals, including performance management.
  • Masters/PhD in quantitative field as listed in requirements.
  • Experience leading complex analytics projects from problem to results.
  • Proficiency with Python and/or R.
  • Experience querying and transforming large datasets with SQL.
  • Ability to communicate complex analytics to diverse audiences.
  • Located in or willing to relocate to Minneapolis, MN.

Responsabilidades

  • Lead a team of data scientists and social science researchers with diverse backgrounds.
  • Provide performance coaching, career development, and mentoring.
  • Set priorities, manage workload, and drive project execution.
  • Foster intellectual curiosity, collaboration, and scientific rigor.
  • Develop scalable analytics using modern data science tools and automate workflows.
  • Translate findings into clear, actionable recommendations for senior leaders.
  • Ensure rigor, reproducibility, and benchmark against external research.

Conocimientos

People leadership
Machine learning
Python/R
SQL
Stakeholder communication
Data science
Experiment design
Forecasting

Educación

Master's degree or PhD in quantitative field

Herramientas

Databricks
Snowflake

Descripción del empleo

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

The 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.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:
  • 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.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about E-Verify program.

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

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

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