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Systems, Analytics, and AI Manager

Job in Riverside, Riverside County, California, 92501, USA
Listing for: LaunchDarkly Group
Full Time position
Listed on 2026-10-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Business Intelligence
Salary/Wage Range or Industry Benchmark: 122000 - 168000 USD Yearly USD 122000.00 168000.00 YEAR
Job Description & How to Apply Below
People Systems, Analytics, and AI Manager

Remote - US

About the Job:

Launch Darkly is seeking a People Systems, Analytics and AI Manager to be our subject matter expert on HR systems and to turn People data into insights that help business leaders make better decisions. You will build the reports, analytics, and dashboards that tell the story of our workforce, and you will use AI tooling to make those stories faster to create, easier to understand, and more compelling.

This is an individual contributor role reporting to the Director, People Programs, Systems and Analytics. You will work closely with People Operations, Finance, and leaders across the business, and you will own your work from question to insight to action.

We are looking for someone who combines deep HR systems knowledge with strong analytical skills, creativity in how data is presented, and sound judgment about people data and AI.

Responsibilities:
  • Serve as the subject matter expert for our HR systems (HRIS, applicant tracking, performance, compensation, and learning platforms), including configuration, data integrity, security roles, integrations, and release management.
  • Design, build, and maintain reports, dashboards, and analytics on headcount, hiring, retention, engagement, compensation, and workforce planning that leaders use to make decisions.
  • Partner with People, Finance, and business leaders to translate questions into clear metrics, definitions, and analyses, and to recommend actions based on what the data shows.
  • Use AI tools to accelerate analysis and create compelling data stories and visualizations, including automated insights, natural-language summaries, and executive-"ready narratives.
  • Establish and govern People data standards: metric definitions, data quality checks, documentation, and a single source of truth across systems.
  • Protect employee data by applying privacy, confidentiality, and access controls, and by partnering with Legal and Security on responsible use of AI with People data.
  • Own the intake, prioritization, and delivery of system and reporting requests, balancing quick turnarounds with scalable, self-service solutions.
  • Automate recurring reports and manual workflows to reduce effort and errors, and identify new opportunities where systems and AI can improve the employee and manager experience.
  • Support system projects such as new module rollouts, integrations, data migrations, and annual cycles (performance, compensation, and engagement), including testing, training, and documentation.
  • Enable People Operations teammates and managers through training, office hours, and clear guides so they can use data and tools with confidence.
  • Stay current on HR technology, analytics, and AI trends, and bring practical recommendations to the Director, People Programs, Systems and Analytics.
Qualifications:
  • 8+ years of related experience in HR systems, People analytics, or HR operations, with hands‑on ownership of reporting and dashboards in a technology or high‑growth environment.
  • Expert‑level knowledge of at least one major HRIS (for example, Workday, Rippling, or similar), including report writing, calculated fields, and security configuration.
  • Strong proficiency with analytics and visualization tools (for example, SQL, Tableau, Looker, Power BI, or similar) and advanced spreadsheet skills.
  • Demonstrated fluency with AI tooling to analyze data, generate insights, and build visualizations and narratives, with sound judgment about accuracy and appropriate use.
  • Ability to translate business questions into metrics and communicate findings clearly to non-technical leaders.
  • Strong understanding of data integrity, privacy, and confidentiality practices for employee data.
  • Proven ability to manage multiple projects and stakeholders…
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