People Systems, Analytics, and AI Manager

People Systems, Analytics, and AI Manager Remote - US About the Job: LaunchDarkly 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 independently and deliver on time with attention to detail. Curious, pragmatic problem solver who enjoys simplifying complex processes and data. Comfortable working with a highly distributed team across time zones. Nice to Have: Experience with data pipelines, data warehouses, or scripting (for example, 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. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 121,800 - $167,530 ** Zone 2:Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 109,700 - $150,810 ** Zone 3: All other US locations - $ 103,600 - $142,450 * * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

• Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
• *Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affir\"mative Action Plan. To do so, contact People Ops at View email address on click.appcast.io . #J-18808-Ljbffr LaunchDarkly Group