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 can be performed in New York City or San Francisco depending upon which location the applicant chosen for the role is currently residing.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

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 opportunities 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, visionary leader with a strong technical and analytics background and with proven expertise in scaling marketing analytics solutions to lead our global Value Innovation and Scale Support team. This team sits within the LMS Customer Science organization and is responsible for developing leading-edge insight solutions and providing support at-scale to put more assets into the hands of our sales teams to drive commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories.    

Key responsibilities for this role include close collaboration with Customer Science teams, cross-functional partners and Sales leaders to deliver world-class marketing and business intelligence innovations that unlock new paths for market differentiation and growth. Realizing the vision for this role will require developing new intelligence assets and scale support solutions, as well as conceiving of new mechanisms for distributing insights at-scale to support LMS sales teams with nurturing existing customers as well as driving organic and net new business development.  

Responsibilities:   

Scale-Innovation Strategy   

• Aligned to the LMS Customer Science and Customer Insights strategic priorities, drive the end-to-end roadmap for Customer Insights scaled asset creation, production and distribution focusing on automation, advanced analytics, and emerging technologies (e.g., Gen-AI, media data clean rooms). 

• Build and refine the strategy for scalable Customer Insights distribution, with an emphasis on vertical-specific and audience-specific advisory assets that can be deployed rapidly at-scale to support a high volume of customers effectively.  

Technical Leadership & Solution Design  

• Lead a team of technical program managers skilled in data engineering, analytics, and automation to develop and scale intelligence and advisory assets to support more and more impactful engagements with customers of varying sizes and across a variety of industries.  

• Guide the team in developing and deploying data-driven solutions that leverage AI, predictive modeling, and other data science techniques to produce actionable, ready-to-use insights at scale.  

People Leadership   

• Cultivate a high-performance culture within the team, focusing on innovation, solutions ownership, and accountability.   

• Coach and develop the team, modeling LinkedIn’s culture and values, to ensure the execution of solutions at a high standard, balancing process rigor with solution-driven agility and commercial focus.  

Global Stakeholder Partnerships   

• Establish strong partnerships with senior sales and marketing stakeholders, fostering a shared commitment to scale support solutions innovation and adoption.   

• Collaborate effectively against shared objectives with global peers across all capability areas within the Customer Science organization and cross-functional partners including data science and engineering teams. Be a world-class collaborator who can build trust, influence and co-create. 

Commercial Impact  

• Ensure all intelligence innovations align with key commercial objectives, equipping sales teams with insights that support revenue expansion, relationship-building, and strategic advisory capabilities.  

• Develop scale-friendly customer insights assets tailored to diverse market needs, focusing on both organic growth and new business generation.  

Basic Qualifications   

• 10+ years of experience in digital media, marketing, advertising, media consulting or related industry  

• 5+ years in enterprise leadership role in digital media or marketing analytics, data science, or technical program management   

• 3+ years of experience managing technical teams  

• Experience developing data products, technologies and platforms  

• Experience in data modelling marketing analytics methodologies, SQL and databases.  

• Experience in data pipeline development and ETL processes  

• B.A/B.S. in a data science, computer science, engineering, mathematics or other quantitative field, or equivalent practical experience  

 Preferred Qualifications   

• M.S. or above in a data science, computer science, engineering, mathematics or other quantitative field  

• 7+ years in enterprise leadership role in digital media or marketing analytics, data science, or technical program management   

• 5+ years of experience managing technical teams  

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

• Passion for developing high-performing global teams and creating transformational career opportunities  

• Excellent business judgment, strategic thinking and solutions orientation  

• Expertise in B2B marketing analytics and marketing intelligence or B2B consulting   

Suggested skills   

• Strategic Leadership  

• Program Management  

• Product Development  

• Communication skills  

• Stakeholder Management  

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $148,000 to 230,000. 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf.

Please reference the following information for more information:  https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

 https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf  for more information.

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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.