Job Title
Director, Business Intelligence (People Data)
Job Description Summary
We are looking for an experienced Director of People Analytics & Reporting to drive the next phase of our data-driven HR journey. This role reporting to the VP, People Digital Services and Analytics combines strategic leadership with hands-on execution: you will shape our people-analytics strategy, lead a team of analysts and data engineers, and deliver actionable insights through Workday and modern analytics technologies. The ideal candidate brings strong HR domain knowledge, Workday expertise, deep analytics background and a track record of translating complex data into clear, impactful narratives for business leaders.
Job Description
Responsibilities:
- Data & Analytics Strategy
- Develop and execute a people-analytics strategy aligned to HR and business goals, enhancing our existing people-data platform to maximize use of Workday native technologies and leveraging new age platform capabilities into a unified analytics environment.
- Continuously improve data transformation and reporting processes to support data-driven decision making across the employee lifecycle.
- Team Leadership & Delivery
- Manage and mentor a high-performing team of data analysts and engineers; provide clear direction and growth opportunities.
- Oversee analytics projects from conception through completion, ensuring timely delivery within budget and meeting business requirements.
- Oversee the development and maintenance of People Data Mart (Snowflake/Databricks) leveraging a combination of internal and vendor resources
- Reporting & Visualization
- Direct the creation of robust HR reporting frameworks and interactive dashboards, delivering timely and accurate people metrics and trends.
- Leverage advanced data-visualization tools—especially Microsoft Power BI—to present complex workforce insights in a clear, compelling manner for stakeholders.
- Advanced Analytics & Insights
- Oversee the development of predictive and prescriptive models to uncover key workforce trends (e.g. talent acquisition, engagement, performance, retention).
- Translate complex data findings into actionable insights and strategic recommendations that inform HR programs and leadership decisions.
- Stakeholder Collaboration
- Partner closely with HR Centers of Excellence, business unit leaders and IT to understand data needs and develop tailored solutions.
- Serve as a primary point of contact for people-data initiatives and effectively communicate complex analytics concepts to non-technical stakeholders and senior executives.
- Technology & Data Governance
- Evaluate and implement modern HR analytics tools and platform, ensuring optimal use of technology to enhance reporting and analytics capabilities.
- Champion strong data governance, privacy and data-quality practices across all HR data systems. Maintain vendor relationships and stay current on emerging technologies (e.g. AI/ML) to advance our people-analytics maturity.
Qualifications:
- Experience: 10+ years in data analytics, business intelligence or HR analytics, with a successful track record of developing and deploying data solutions in complex environments.
- People-Analytics Expertise: Demonstrated success leading analytics initiatives that drive strategic HR insights. Deep understanding of HR processes and metrics.
- Leadership & Project Management: Experience managing and scaling teams of analysts and engineers; proven ability to prioritize resources, create project roadmaps and deliver multiple analytics projects on time and within budget. Mentor and coach resources to build a high performing team.
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics or related field; Master’s degree or MBA is a plus.
- Communication Skills: Strong interpersonal and communication skills, including the ability to convey complex data insights to non-technical audiences and senior leaders in clear, compelling presentations.
Technical Skills & Tools:
- Data Integration & ETL: Hands-on experience with data integration and ETL/ELT processes; familiarity with tools such as Fivetran to replicate Workday data efficiently into cloud data warehouses (reducing engineering effort and enabling change data capture).
- Data Warehousing & Big Data: Experience with modern data-warehousing and big-data technologies (e.g. Snowflake, Databricks), using platforms that enable seamless ingestion from sources like Workday and support advanced analytics and machine-learning workloads.
- Business Intelligence & Visualization: Expertise with Power BI for building interactive dashboards and reports; experience with Tableau, MicroStrategy or similar tools is a plus.
- Programming & Analytics: Strong proficiency in SQL and programming languages like Python or R for data analysis, modeling and automation; familiarity with statistical and machine-learning techniques (e.g. regression analysis, predictive modeling, NL