Manager, Analytics & AI

Role Responsibilities

As a Manager, People Analytics & AI, you will operate as a highly strategic Individual Contributor responsible for advancing the organization’s People Analytics capabilities through data-driven insights, intelligent automation, and AI-enabled solutions.

• People Data & Analytics
  :
  Design and deliver end‑to‑end analytics solutions across key HR domains – hiring, performance management, and engagement. Translate ambiguous business questions into structured data problems and actionable insights. Build and maintain scalable datasets, dashboards, and metrics frameworks to support leadership decision‑making. Partner with HR, Finance, and business leaders to drive data‑informed workforce strategies.
• AI & Automation Leadership
  :
  Lead the development of AI‑enabled solutions such as copilots, chatbots, and agent‑based workflows to scale HR support and impact (employee self‑service, HR case triage, talent insights). Partner with Technology and data teams to ensure AI solutions are secure, scalable, and integrated with existing systems. Explore and evaluate emerging AI technologies and tools to improve operational efficiency and employee & HR experiences.
• Technical & Data Engineering
  :
  Write and optimize SQL queries to extract, transform, and analyze data from systems such as Snowflake, Workday, and related platforms. Build and maintain data pipelines and data models to ensure reliable, high‑quality datasets. Integrate data across Workday, recruiting, engagement, and related platforms to create a trusted source of workforce data.
• Consulting & Stakeholder Influence
  :
  Act as a strategic advisor to HR and business leaders by providing insights and recommendations backed by data. Communicate findings and recommendations effectively to both technical and non‑technical audiences, including executive leadership. Proactively identify opportunities to improve processes, reduce manual work, and increase self‑service capabilities.

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field; or equivalent combination of education and experience.
• 5+ years of experience or equivalent experience in data analytics.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Experience building or working with AI/ML models, Large Language Models (LLMs), or AI‑driven tools.
• Hands‑on experience developing AI agents, copilots, or automation workflows.
• Proven ability to translate business needs into data solutions and actionable insights.
• Strong analytical and problem‑solving skills; able to work effectively in complex, evolving environments.
• Experience collaborating across cross‑functional teams and influencing stakeholders through data‑driven recommendations.
• Ability to independently drive projects from problem definition through execution.
• Strong communication skills with the ability to present complex concepts clearly to both technical and business audiences.
• Hands‑on experience using AI tools and technologies to improve productivity and accelerate solution development.
• Ability to evaluate AI‑generated outputs and apply sound judgment regarding accuracy, quality, and business relevance.
• Advocates for innovation, automation, and responsible AI adoption while maintaining high standards of quality and governance.

• Python or similar programming languages for data analysis or automation.
• Understanding of data engineering concepts: ETL pipelines, data modeling, APIs, and system integrations.
• Experience building dashboards and data visualizations using Power BI, Tableau, or similar tools.
• Experience working with HR data and systems such as Workday or related platforms.
• Experience with cloud‑based data platforms, including Snowflake and related analytics technologies.

Base salary range: $110,000–$140,000 per year. Total on‑target earnings include base salary and short‑term incentives aligned with individual and company performance.

• Medical, Dental, Vision, and Life Insurance
• Tuition Assistance Program
• Employee Discount Program
• Parental Leave
• 401(k) Plan

Hybrid – minimum three days per week in the office. Preferred locations: 7001

E. Belleview Ave, Denver, CO 80237 or 5 Concourse Pkwy NE, Suite 2300, Atlanta, GA 30328.

We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. We provide accommodations to applicants with disabilities during the recruitment process, following applicable laws.

Applicants should not respond to any questions seeking age‑identifying information during the application process. Age, date of birth, and school attendance or graduation dates can be redacted from materials submitted.