This position is based in Chicago, ILAt 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. At LinkedIn, 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 LinkedIn’s success and enable customers to unlock value through our products within the Talent Solutions business. This role sits at the unique intersection of LinkedIn 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. About The 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 LinkedIn’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 LinkedIn’s ability to solve customer challenges, improve decision-making, and elevate the value proposition of our Talent Solutions portfolio. Responsibilities Data-Driven Insights Development Leverage LinkedIn’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.             Write and 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 Alignment Partner 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 Vision Define 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 LinkedIn 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 LinkedIn’s Talent business outcomes. Visualization and Communication Develop 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 Governance Implement data quality checks to ensure accuracy, consistency, and integrity. Document best practices, compliance protocols, and technical solutions for scalability.  
