Insights Program Manager

This role will be based in SF Chicago or NYC.

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. 

Role Overview 

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 Program Manager role is pivotal in delivering scalable data-driven solutions that drive LinkedIns success and enable customers to unlock value through our products within the Talent Solutions business. 

These roles sit at the unique intersection of LinkedIn product expertise proprietary dataset ownership and alignment with go-to-market strategies. They blend technical program management analytical problem-solving and cross-functional leadership to produce insights and strategies built on trust and innovation. 

About the Role 

As an Insights Program Manager you will lead the technical and strategic development of insights programs ensuring the insights and recommendations you deliver meet high standards of quality reliability and scalability. From writing and reviewing sophisticated code to guiding strategic narratives you will translate LinkedIns data into actionable insights that influence decisions across product marketing and sales. 

Your efforts will also advance automation and AI-driven workflows (e.g. Large Language Models prompt engineering and data pipeline integration) optimize the creation of scalable insights tools and enhance LinkedIns ability to solve customer challenges and elevate the value proposition of our Talent Solutions portfolio. 

Responsibilities 

Data-Driven Insights Development 

• Leverage LinkedIns proprietary datasets to design and deliver impactful scalable insights that align with product and marketing strategies addressing customer pain points and value propositions. 

• Write review and optimize code (SQL Python Spark SQL) to extract process and analyze data. 

• Oversee and maintain automated data pipelines and multiproduct workflows using tools such as Apache Airflow HDFS and internal platforms. 

• Integrate GenAI and LLM-based solutions (e.g. prompt engineering summarization and categorization) into insights pipelines for improved efficiency and scalability. 

Collaboration and Alignment 

• Partner with cross-functional teams including Sales Marketing and Data Science to refine messaging and enhance customer value delivery anchored in data. 

• Act as a strategic advisor to stakeholders guiding the adoption of actionable AI-enabled insights and ensuring program alignment with go-to-market priorities. 

• 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 GTM motions prioritize opportunities and drive alignment on strategic initiatives. 

• Own end-to-end delivery of cross-functional programs such as campaign experimentation actionable insights for driving product adoption and thought leadership balancing business goals with data and technical feasibility. 

• Measure the effectiveness of Insights driven interventions across our customer and field partner touchpoints and its impact on LinkedIns Talent business outcomes 

Visualization and Communication 

• Develop compelling visualizations and narratives using Python Tableau or equivalent tools to communicate insights synthesizing technical findings into clear business terms for executive and non-technical audiences to drive clarity and alignment. 

• Contribute to storytelling and content strategy for high-visibility initiatives ensuring consistency with LinkedIns data narrative. 

Data Quality and Governance 

• Implement data quality checks to ensure accuracy consistency and integrity. 

• Drive standardization and best practices for insights pipeline governance including version control (GitHub) and documentation. 

• Champion responsible AI and data privacy practices in insights development. 

Qualifications :

Basic Qualifications 

• Bachelors degree. 

• 5 years of experience in data analysis experimentation or technical program management involving the design of data pipelines and insights that drive customer and product adoption. 

• 4 years of experience with SQL with experience in optimizing queries for performance (Trino Spark SQL preferred) 

• 2 years of experience using Python (or equivalent scripting languages) to automate workflows run experimentation (e.g. A/B testing for campaigns) generate outputs for downstream applications (such as email and AI agents) or build scalable data processes. 

• Ability to communicate with both technical and non-technical audiences to ensure alignment and engagement. 

Preferred Qualifications 

• BA/BS in Statistics Economics Data Science Computer Science or a related quantitative field. 

• Experience leading cross-functional AI or automation programs (e.g. LLM prompt design model evaluation or insights pipeline automation). 

• Experience tying product or marketing insights to measurable business outcomes. 

• Strong business acumen with a passion for technology big data and artificial intelligence. 

• Proven ability to manage complex multi-stakeholder programs and influence without authority. 

• Excellent problem-solving leadership and communication skills. 

Suggested Skills 

• Technical Expertise: SQL and Python with experience in Airflow and LLM/GenAI integration. 

• Program Management: Proven ability to lead multi-product initiatives with disciplined planning and cross-functional alignment. 

• Business Alignment: Deep understanding of how insights and experimentation drive product adoption sales and marketing motions and actionable business recommendations. 

• Collaboration: High EQ and a collaborative mindset able to influence and partner effectively across Data Science Marketing Product and Engineering teams. 

• Trust and Integrity: Commitment to delivering accurate ethical and transparent insights that stakeholders can rely on to inform strategic decisions. 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $105000 to $170000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.    

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit  Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

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No

Employment Type :

Full-time