Insights Associate Program Manager

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 will be based in 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. 

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.  

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 collaboration to produce insights & 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 sales 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 

• 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 GTM 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 and field partner touchpoints and 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 

Basic Qualifications 

• Bachelor's degree  

• 3+ years of experience in data analysis, consulting, or technical program management 

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

• 2+ years of creating data visualizations and data storytelling to turn data into Insights using Tableau or similar program 

• Communicate with both technical and non-technical audiences to ensure alignment and foster engagement. 

Preferred Qualifications 

• BA/BS degree in Statistics, Economics, Data Science or related quantitative field 

• Experience with product or marketing analytics, including the ability to tie insights to business outcomes 

• Experience building and nurturing relationships with senior stakeholders and serving as a trusted advisor and technical expert  

• Experience writing and optimizing Python scripts for data analysis, automation, and scalable workflows 

• Practical business understanding with genuine passion for technology, big data, and/or artificial intelligence  

• Ability to manage complex, multi-stakeholder programs and influence without authority 

• Strong problem-solving, business acumen, and communication skills 

Suggested Skills 

• Technical Expertise: Strong coding and data management skills. Motivated by curiosity with genuine interest in learning new technology and skills 

• Program Management: Proven ability to prioritize and execute in fast-paced environments 

• Business Alignment: Ability to connect technical solutions to customer and business needs 

• Collaboration: High EQ and ability to build relationships across diverse teams 

• Trust and Integrity: Commitment to delivering accurate, actionable insights that stakeholders can rely on 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $84,000 to $137,000. 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 https://careers.linkedin.com/benefits. 

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.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

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 LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance ​

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

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.