Senior Manager, Data Analytics & Automation

About the Role

Key Responsibilities

• Use SQL and advanced analytics to generate insights and integrate internal and external workforce data that inform high-impact decisions.
• Deliver crisp, executive-ready summaries, dashboards, and presentations for Global People leadership.
• Own the development and delivery of daily, weekly, monthly, and quarterly labor market and economic updates for senior audiences.
• Lead cross-functional AI initiatives that enhance team efficiency, insight delivery, and automation across People Insights.
• Identify opportunities for AI-driven automation, augmentation, and tooling, and partner with team members to implement them.
• Bring a strategic lens to how AI and analytics work together to elevate the team's output and influence.
• Build relationships with partner teams across the organization to stay on top of AI solutions in progress, surfacing opportunities to collaborate, learn from others, and avoid duplicative efforts.
• Create scalable systems and workflows to ensure high-quality, consistent delivery across the team.
• Develop and track key performance indicators (KPIs) that measure the team's business impact and drive accountability.
• Establish and maintain operating rhythms that support resource optimization, goal alignment, and clarity of execution.
• Act as a strategic communications hub, shaping and amplifying the team's voice through clear, compelling narratives.

Requirements

• A proven track record of managing large-scale, cross-functional projects in data-driven or AI-enabled environments.
• Demonstrated experience identifying automation opportunities and delivering measurable operational improvements.
• Exposure to or experience with AI tools and automation platforms.
• Advanced proficiency in SQL and analytics, with experience integrating data from multiple sources.
• Strong operational skills, including KPI development, resource planning, and workflow optimization.
• Exceptional communication skills and executive presence, with the ability to simplify complexity and drive clarity.
• Minimum of 4 years' experience in data analysis, data science, statistics, or related field with a Bachelor's degree, or 2 years with a Master's degree, or 6 years' experience in related fields.
• 1 year's supervisory experience.

Nice to Have

• Familiarity with People Analytics, HR technology, or workforce strategy.
• Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology.
• Related industry experience (e.g., retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, Tableau).
• Supervisory experience.

Qualifications

• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
• Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
• Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Benefits & Perks

• Competitive pay plus performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees.