Insights Associate Program Manager
Listed on 2026-08-07
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IT/Tech
Data Analyst
Linked In 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 position is based in Chicago, IL
At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.
At Linked In, we empower professionals worldwide to achieve more. Every day, millions of people rely on our products to connect, discover opportunities, and gain actionable insights. The Insights Associate Program Manager role is pivotal in delivering scalable, data-driven solutions that drive Linked In’s success and enable customers to unlock value through our products within the Talent Solutions business.
This role sits at the unique intersection of Linked In product expertise, proprietary dataset ownership, and alignment with customer lifecycle and go-to-market strategies. They blend technical program management, analytical problem-solving, and collaboration to produce insights and strategies built on trust and innovation.
AboutThe Role
As an Insights Associate Program Manager, you will perform technical work, ensuring the insights and strategic recommendations you develop meet high standards of quality, reliability, and scalability. From coding sophisticated queries to shaping strategic narratives, you will play a critical role in translating Linked In’s data into actionable insights for internal and external stakeholders.
Your efforts will contribute to the optimization and creation of tools, narratives, and strategies that enhance Linked In’s ability to solve customer challenges, improve decision-making, and elevate the value proposition of our Talent Solutions portfolio.
Responsibilities Data-Driven Insights DevelopmentLeverage Linked In ’s proprietary datasets to design and deliver impactful, scalable insights that align with product and lifecycle strategies in addressing customer pain points and value propositions.
Writeand optimize code (e.g., SQL, Python, Spark SQL) to extract, process, and analyze
data. Use AI coding assistants (e.g., Claude, Copilot) to accelerate query development,
debug pipelines, and prototype analyses faster — while applying sound judgment to
validate outputs for accuracy.
Build and maintain robust data pipelines and workflows using tools like Apache Airflow and HD.
Collaboration and AlignmentPartner with cross-functional teams, including Sales, Customer Success, Marketing, and Data Science, to refine messaging and enhance customer value delivery anchored in data.
Establish strong stakeholder relationships, serving as a technical and strategic advisor for internal and external partners on program strategy.
Insights Strategy and VisionDefine and execute the long‑term vision and roadmap for your programs.
Identify gaps in existing tools and customer lifecycle motions, prioritize opportunities, and drive alignment on strategic initiatives.
Provide recommendations on opportunities to strengthen strategy for business impact based on Linked In data for prioritized segments, markets, and initiatives.
Measure the effectiveness of Insights driven interventions across our customer lifecycle and field partner touchpoints, tracking its impact on Linked In’s Talent business outcomes.
Visualization and CommunicationDevelop compelling visualizations and narratives using Tableau or equivalent tools to communicate insights.
Present findings effectively to technical and non‑technical audiences, fostering trust and engagement.
Data Quality and GovernanceImplement data quality checks to ensure…
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