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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, Sunnyvale, San Francisco, or Chicago 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 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 

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

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

• Experience in consultative and/or advisory role

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

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

   Preferred Qualifications 

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

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

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

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

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

• 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

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

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

• Experience working with offshore analyst teams

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.  

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 (https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.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 accommodations@linkedin.com 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.