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Director of People Programs, Systems & Analytics

LaunchDarkly - Remote - Remote - posted 2026-10-20

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Salary: USD 129,900 - 210,210 / annual

LaunchDarkly is seeking a Director of People Programs, Systems & Analytics to lead the strategic development and execution of the People Operations function. This role reports to the Senior Director, People Operations and will establish operational objectives, roadmaps, work plans, and operating rhythms that translate People strategy into executable plans. You will lead a small, high-performing team and establish the framework for responsible AI use regarding People data. Key responsibilities include: - Design the vision, strategy, roadmap, governance, and operating rhythms for all People programs, systems, analytics, and AI, aligned with LaunchDarkly's business priorities. Manage organization-wide deliverables including OKRs, annual projects, and key initiatives. - Lead, coach, and develop a small team, creating clarity, strong partnerships, and a culture of thoughtful execution and continuous improvement. - Ensure programs and processes across the employee lifecycle (onboarding, offboarding, employee data, compliance workflows, employee support, international operations) are optimally managed through the HR tech stack with measurable, decision-informing analytics. - Design and evolve the People technology ecosystem to ensure systems are integrated, scalable, secure, fit for purpose, and aligned to employee and business experience. - Establish standards for People data quality, definitions, governance, access, documentation, and stewardship. Build trusted reporting and self-service insights for People partners and business teams. - Design an analytics strategy that translates workforce data into executive-ready narratives and practical recommendations across headcount, attrition, hiring, organizational health, employee experience, and workforce planning. - Define a responsible AI strategy for the People function, including use-case prioritization, governance, human oversight, and adoption of solutions that improve reporting, decision-making, and operational efficiency. - Partner with functional leaders and subject-matter experts to translate capability gaps into scalable learning experiences, then measure participation, effectiveness, behavior change, business impact, and equity of access. - Lead change management for new systems, programs, policies, and processes, including communications, training, stakeholder readiness, adoption, and post-launch improvement. - Manage vendors, dependencies, and tradeoffs, bringing structure to ambiguity while maintaining a clear view of value, risk, and long-term scalability. Success looks like: the People team has a clear, prioritized roadmap; stronger governance, clearer processes, and more reliable data; People partners and business teams have trusted, actionable insights for workforce planning; and the team is engaged, growing, and recognized as a strategic partner. REQUIREMENTS: - 15+ years of experience in People Operations, including 5 years of leadership across People Programs, People Systems, People Analytics, or similarly complex functions. Experience should include selection and optimization of HRIS and Talent systems at small to large-sized companies. - Track record of organization-wide project and program management, designing operating models, building roadmaps, and delivering cross-functional programs at scale. - Implementation and development of comprehensive data analytics, reporting, and dashboarding tools for Human Resources and Talent organizations with knowledge and experience in AI-enablement for those functions. - Experience managing and developing a team and building strong cross-functional partnerships. - Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. - Strong understanding of how People systems, processes, data, and employee programs fit together. Experience improving HR technology, data quality, reporting, analytics, automation, or self-service decision support. - Practical experience evaluating or advancing AI use cases, with sound judgment around sensitive employee data, privacy, governance, accuracy, and human oversight. - Excellent written communication, prioritization, program management, and change leadership skills.

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