Vice President, People Analytics-Data Science

Description

The company is building its People Analytics function around workforce insight, and this leadership role sits in the research and data science team, which uses advanced analytics, research design and data science to answer complex business and talent questions.

You will manage a group of three professionals who come from social science research and data science backgrounds, and you will work closely with HR and business partners.

Beyond leading high-impact analyses yourself, you will help the team scale through automation, strategic advice and evidence-based recommendations for senior HR and business leaders.

Responsibilities

• Lead, coach and develop the team, including performance management, career growth and mentoring for each person.
• Set clear priorities, balance workload and keep projects on track.
• Build a culture of curiosity, continuous learning, collaboration and scientific rigor.
• Grow the team's skills in new analytics methods, machine learning, research methods and qualitative data.
• Work with HR leaders and business stakeholders to identify and answer strategic workforce questions.
• Lead complex analytical work such as advanced statistical modeling, predictive analytics, machine learning, experimental and quasi-experimental design, program evaluation, forecasting and organizational research.
• Turn technical findings into clear recommendations for senior and executive audiences.
• Make sure research and analysis meet high standards for method and reproducibility.
• Bring in external research, benchmarking and evidence-based practices to strengthen recommendations and spot emerging workforce trends.
• Lead the building of scalable analytical solutions with modern data science tools.
• Work with data engineering teams to turn analytical workflows, models and reports into automated processes.
• Create reusable analytical assets that make work more efficient and consistent across projects.
• Move prototypes and research models into production-grade solutions in Databricks and enterprise data environments.
• Set the standards for model governance, documentation, reproducibility and quality assurance.
• Find recurring analyses to automate and expand self-service analytics.

Requirements

• 8+ years of applied experience in data science, advanced analytics, quantitative research, economics, statistics, industrial-organizational psychology or a closely related field.
• Previous experience leading and developing technical professionals, including performance management, coaching and prioritizing workload.
• Master's or PhD in a quantitative discipline such as Data Science, Statistics, Economics, Applied Mathematics, Computer Science, Operations Research, Industrial-Organizational Psychology, Quantitative Sociology, Behavioral Science or another related analytical field.
• A record of leading complex analytical projects from problem definition through implementation and reporting of results.
• Strong skill in statistical and analytical programming, such as Python and/or R.
• Experience querying and transforming large datasets with SQL.
• Ability to explain complex analytical ideas to both technical and non-technical audiences.
• Located in Minneapolis, MN, or willing to relocate there, where most of the team is based.
• Preferred: Experience with employee, talent, learning, performance, engagement, recruiting, compensation or organizational network data.
• Preferred: Experience with Databricks, Snowflake and cloud-based analytics environments.
• Preferred: Experience deploying, scaling and monitoring machine learning or predictive models in production.
• Preferred: Experience running program evaluations and measuring how well people-related interventions, programs or policies work.
• Preferred: Familiarity with external workforce research, benchmarking studies and industry trends.

Conditions

Expect to be in a company location on three (3) or more days each week.

Disability accommodations are available during any stage of the application and hiring process.

Benefits

• Benefits are built around the whole person, with coverage meant to support your health, financial security and peace of mind for you and your family.
• Healthcare covering medical, dental and vision.
• Basic term life insurance, with optional term life insurance available.
• Short-term and long-term disability cover.
• Pregnancy disability and parental leave.
• 401(k) plus an employer-funded retirement plan.
• Paid vacation ranging from two to five weeks, depending on salary grade and tenure.
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accruing one hour for every 30 hours worked, up to 80 hours per calendar year unless the law provides otherwise.