Science Program Manager Jobs in Chicago, IL (NOW HIRING)

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 position is based in Chicago, IL

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. 

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. 

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. 

Preferred Qualifications 

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

Experience communicating with both technical and non-technical audiences to ensure alignment and foster engagement.

Experience with product, marketing, or customer lifecycle 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 run operational program coordination, track timelines, and execute in fast-paced environments. 

Business & Lifecycle Alignment: Ability to connect technical solutions to customer lifecycle stages and overall 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.

Agility & Adaptability: Adapts readily to changing priorities and business needs, staying effective and solutions-oriented under pressure. 

 LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $89,000 to $145,000. 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.

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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.

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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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