Senior Manager, Transformation & People Insights

The Senior Manager, Transformation & People Insights leads advanced analytics and AI-enabled transformation for HR People Analytics. This role turns complex workforce data into clear, actionable insights through scalable analytics solutions, executive-ready visualizations and business intelligence products outside of Workday. The role partners across People Analytics, HR Technology, HR Business Partners, Talent, Compensation, Finance and business leaders to identify high-value workforce questions and translate them into trusted analytics, dashboards, models and recommendations that improve decision-making and stakeholder experience. The ideal candidate brings technical depth in Workday data, SQL, Python, statistical methods, AI-enabled analytics and visualization design, with the judgment to apply strong data governance, privacy, quality controls and responsible AI practices. The role manages 1 individual contributor and is accountable for communicating complex findings in simple, practical language for senior leaders and business stakeholders.

Responsibilities

Lead advanced analytics and AI-enabled transformation initiatives within People Analytics to improve insight generation, decision support, automation and stakeholder experience; Own visualization standards and user experience for dashboards and business intelligence products that translate complex data into clear, actionable business narratives; Lead the design, build and delivery of dashboards and insight products outside of Workday using business intelligence tools such as Qlik, ThoughtSpot or similar platforms; Manage 1 individual contributor responsible for analytics, visualization, dashboard development or insight product support; Partner with HR and business stakeholders to define workforce questions, prioritize analytics needs and translate findings into practical recommendations; Apply advanced analytics methods, statistical theory, research design and measurement modeling to evaluate workforce trends, business outcomes, risks and opportunities; Use SQL, Python and related analytical tools to extract, transform, analyze and model data from Workday and other enterprise data sources; Develop predictive, diagnostic and descriptive analytics that support strategic workforce planning, talent strategy, organizational effectiveness and HR transformation; Partner with Workday reporting, HR Technology and data governance teams to ensure analytics solutions use trusted data, clear definitions, appropriate access controls and privacy safeguards; Communicate analytical findings, methods, assumptions and recommendations in clear, practical language for senior leaders and business stakeholders; Provide coaching, prioritization guidance and development support to the individual contributor aligned to the role

Requirements

Bachelor’s degree required, preferably in Data Science, Statistics, Economics, Psychology, Industrial/Organizational Psychology, Business Analytics, Computer Science, Human Resources, Business Administration or a related field; General Experience: 6 to 10 years; Experience working with Workday data and HR systems required; Experience using SQL, Python, BI platforms and advanced analytics methods required; Solid understanding of Workday HCM data, reporting structures, business objects and HR data dependencies; Advanced SQL experience, including querying, joining, transforming and validating complex datasets; Python experience for data analysis, automation, modeling or advanced analytics use cases; Experience with business intelligence and visualization tools outside of Workday, such as Qlik, ThoughtSpot, Tableau, Power BI, Visier or similar platforms; Strong background in statistical theory, research methodology, measurement modeling and advanced analytics methods; Ability to design executive dashboards, self-service analytics tools and insight products that convert complex data into clear actions and business narratives; Not eligible for Work Visa sponsorship, either currently or in the future

Nice to have

Advanced degree preferred in a quantitative, research, analytics or business discipline; 10 to 15 years of general experience in analytics, business intelligence, data science, HR analytics, workforce analytics, transformation or related disciplines preferred; 3 to 6 years of managerial or people leadership experience preferred, including direct or matrixed leadership of analytics resources; Experience leading advanced analytics, AI-enabled transformation, visualization roadmap development or insight product delivery preferred

Benefits

Additional compensation (cash or equity); discretionary bonuses; commissions; medical; dental; vision; life insurance; critical illness insurance; accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); parental leave