Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS - job 1 of 3

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 San Francisco, Sunnyvale, New York City, or Chicago. 

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 believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world.    

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence. LinkedIn Marketing Solutions (LMS) Customer Insights team is seeking a dynamic program manager with a strong technical background and experience leading marketing analytics innovation projects to join our global Value Innovation and Scale Support team. This team sits within the LMS Customer Science organization and is responsible for developing and scaling leading-edge insights solutions to deepen strategic relationships with our marketing customers and drive commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories.   

Key responsibilities for this role include project managing data solutions innovation aligned to new platform products, features, ad formats and associated measurement solutions using advanced analytics and technical solutions including data clean rooms to deliver world-class marketing and business intelligence to unlock new paths for market differentiation and growth. Realizing the vision for this role will require supporting the development of a portfolio of insights solutions to better nurture and grow existing customers through insights innovation. The ideal candidate is customer and project focused, collaborative, consultative, and able to thrive in a fast-paced environment.  Success in role requires strong project management skills and the ability to build clear and effective processes and work collaboratively with partners across Sales, Marketing, Operations, Product and Engineering teams, as well as Insights teams in other lines of business to understand business challenges, opportunities and solution paths. 

Responsibilities 

Technical Solutions Innovation & Management 

• Lead technical development, implementation and program management of Customer Insights value innovation solutions including planning, scheduling, and coordinating resources, adhering to Agile methodologies.  
   

• Harness the power of Gen AI and cloud technologies (e.g., data clean rooms) to drive solutions innovation and insights-driven value creation for customers.  
   

• Create Minimum Viable Products (MVPs) and innovative Customer Insights solutions at scale.  Partner closely across Customer Insights, R&D, and other cross-functional teams to develop, QA, and standardize solutions.  

Team Leadership  

• Collaborate with the Value Innovation and Scale-support solutions team, as well as the broader Customer Insights and Customer Science organizations to deliver impactful solutions that support commercial goals. 
   

• Execute using new ways of working that increase Customer Insights impact on the business and accelerate time to value 
   

• Contribute to a collaborative work environment by fostering knowledge sharing, constructive feedback, transparency, accountability and continuous learning 
   

• Operationalize modern planning and execution best-practices--balancing process rigor with solution-driven agility to achieve commercial outcomes 

Stakeholder Partnerships  
 

• Work with both technical and non-technical stakeholders to capture complex business requirements, solution, and drive full scale deployment (launch, adoption, impact assessment). 
   

• Be a world-class collaborator who can build trust, influence and co-create effectively with a diverse group of partners across the global Customer Insights and broader Customer Science organizations.   
   

• Work closely with marketing teams, data scientists, and other stakeholders to define data analysis needs, co-create data -backed solutions and translate data into actionable insights.  
   

Commercial Impact 

• Develop insights innovations align to customers’ commercial objectives, equipping sales teams with insights that support revenue expansion, relationship-building, and strategic advisory capabilities. 
   

• Create new and innovative Customer Insights assets that demonstrate the value of new platform features and ad formats, while expanding the business use cases for LinkedIn’s first-party data  
   

• Leverage marketing and technical subject matter expertise to meaningfully influence and impact customer outcomes as well as our product roadmap 
   

Basic Qualifications  

• M.S. or above in data science, computer science, engineering, mathematics, statistics or other quantitative field or equivalent practical experience 

• 5+ years of experience in digital media analytics, marketing analytics, media consulting or related industry  

• Technical data analytics project and/or program management expertise in customer-facing roles driving projects, consulting, and/or executing on deliverables  

• Experience in advanced SQL, python, data modelling, and marketing analytics methodologies 

 Preferred Qualifications  

• Experience with CRM, identity solutions (e.g., Google Ads Data Hub, LiveRamp, Snowflake) 

• Experience in B2B marketing analytics and marketing intelligence, or B2B consulting 

• Direct experience developing AI/Machine Learning solutions for marketing, sales, or advertising use cases 

• Strong commercial and customer success orientation, with proven track record developing intelligence solutions aligned to commercial outcomes 

• Excellent business judgment, strategic thinking and solutions orientation 

• Strong analytical and adaptive problem-solving skills, with a focus on driving actionable insights from complex data sets 

• Deep knowledge or direct experience with Data Clean Rooms 

• Experience working with Big Data, building complex pipelines to extract valuable insights from high volume and high velocity data 

• Proven track record in creating innovative solutions and then scaling them to impact internal teams and external partners alike 

• Experience working with offshore analyst teams 

• Strong communication, presentation skills and experience presenting to senior stakeholders 

Suggested Skills: 

• Project Management 

• Data Storytelling 

• SQL  

• Python 

• Data Visualization  

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $102,000 to $160,000. 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.    

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