People Systems, Analytics, and AI Manager

LaunchDarkly

10h•$103,600 - $167,530

About The Position

LaunchDarkly is seeking an individual contributor to serve as a subject matter expert on HR systems and turn People data into insights that help business leaders make better decisions. The role builds reports, analytics, and dashboards that describe the workforce, and uses AI tools to make analysis faster to create, easier to understand, and more compelling. Reporting to the Director, People Programs, Systems and Analytics, this role works closely with People Operations, Finance, and leaders across the business. It owns work from the initial question through insight and action, combining HR systems expertise, analytical skills, effective data presentation, and sound judgment about people data and AI.

Requirements

At least 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, such as Workday or Rippling, including report writing, calculated fields, and security configuration.
Strong proficiency with analytics and visualization tools such as SQL, Tableau, Looker, or Power BI, and advanced spreadsheet skills.
Demonstrated fluency with AI tools for analyzing data, generating insights, and building visualizations and narratives, with sound judgment about accuracy and appropriate use.
Ability to translate business questions into metrics and clearly communicate findings to non-technical leaders.
Strong understanding of data integrity, privacy, and confidentiality practices for employee data.
Ability to independently manage multiple projects and stakeholders and deliver on time with attention to detail.
Curious, pragmatic problem-solving approach and interest in simplifying complex processes and data.
Comfort working with a highly distributed team across time zones.

Nice To Haves

Experience with data pipelines, data warehouses, or scripting, such as Python or dbt.
Experience with integrations and workflow automation tools.
Knowledge of workforce planning, compensation, or engagement analytics.
Bachelor's degree in Information Systems, Analytics, Business, Human Resources, or a related field, or equivalent experience.

Responsibilities

Serve as the subject matter expert for HR systems, including HRIS, applicant tracking, performance, compensation, and learning platforms; manage 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.
Partner with People, Finance, and business leaders to translate questions into clear metrics, definitions, and analyses, and recommend actions based on findings.
Use AI tools to accelerate analysis and create data stories and visualizations, including automated insights, natural-language summaries, and executive-ready narratives.
Establish and govern People data standards, including metric definitions, data quality checks, documentation, and a single source of truth across systems.
Protect employee data through privacy, confidentiality, and access controls, and partner with Legal and Security on responsible AI use with People data.
Own 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 opportunities for systems and AI to improve employee and manager experiences.
Support system projects such as module rollouts, integrations, data migrations, and annual performance, compensation, and engagement cycles, including testing, training, and documentation.
Enable People Operations teammates and managers through training, office hours, and clear guides.
Stay current on HR technology, analytics, and AI trends, and provide practical recommendations to the Director, People Programs, Systems and Analytics.