Insights Program Manager
About The Position
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role can be based in either our Sunnyvale, San Francisco, Carpinteria, Bellevue, New York, Chicago, Atlanta, Omaha, or Washington D.C. offices. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Go-To-Market Enablement (GTME) Insights & Analytics team builds the measurement infrastructure and data products that help LinkedIn’s global business organization understand what’s working and why. We work across skills, customer sentiment and topic signals drawn from sales conversations, learning engagement data, and other internal enterprise data. We use AI as a core part of how that work gets done — including building and deploying analytics agents that scale insight delivery at speed. We are looking for an Insights Program Manager to lead time-sensitive research sprints and innovation projects, design and deploy AI-powered data products that scale our output, and own the measurement framework for high-visibility enablement programs. You'll also partner with LOB analytics teams to extend analytical depth on high-priority initiatives.
Requirements
- Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or related) or equivalent experience
- 3+ years of experience in analytics, data science, or a related quantitative role
- 3+ years of hands-on experience with SQL for querying and transforming large datasets
- Experience designing, building, or deploying AI-powered workflows, analytics agents, or LLM-based tooling
- Experience using Python or Spark for data analysis or automation
- Experience using Tableau or PowerBI for data visualization
- Experience presenting analytical findings to business stakeholders
Nice To Haves
- Experience with causal inference or quasi-experimental methods for program impact measurement
- Experience with NLP (e.g., topic modeling, sentiment analysis, entity recognition)
- Experience in learning analytics, sales analytics, marketing analytics, or B2B measurement contexts
- Experience managing product backlogs or roadmaps
- Strong stakeholder management skills and ability to influence without authority
- Comfort managing ambiguous, high-priority projects with competing demands
Responsibilities
- Lead time-sensitive research sprints and high-priority analyses that inform strategic decisions across the GTME organization — including investigations into seller behavior patterns, customer topic trends, and learning engagement signals
- Identify and pilot new tools and AI-powered approaches that improve how the team generates and delivers insight
- Help frame emerging analytical questions for senior leadership, structuring approaches and delivering clear, decision-ready findings under tight timelines
- Design, build, and deploy AI-powered analytics agents and automated insight pipelines that scale the team’s output across the organization — including LLM-based tooling
- Translate cross-functional partner and sales user needs into product requirements; manage a backlog and roadmap and track success over time
- Own the learning analytics framework for high-visibility enablement programs — defining success metrics, managing intake, and tracking impact across cohorts and geographies
- Partner with LOB analytics business partners on high-priority initiatives, contributing analytical depth without owning the full stakeholder relationship
- Communicate findings clearly to both technical and non-technical audiences in ways that support confident decision-making
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
