Company Description
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.
Job Description
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, visionary senior program manager with a strong technical background and proven expertise in marketing analytics innovation 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 support our sales teams with deepening strategic relationships with our marketing customers and driving commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories.
Key responsibilities for this role include data solutions innovation aligned to new platform products, features 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 developing and managing a portfolio of insights solutions and implementing sustainable support models to enable LMS sales teams to better nurture and grow existing customers through insights innovation. The ideal candidate is customer-centric and project-focused, consultative, and thrives in a collaborative environment with team members and cross-function partners in Data Science and Data Engineering.
Responsibilities:
Technical Solutions Innovation & Management
- Lead Customer Insights solution innovation focusing on new data solutions design, development and implementation leveraging advanced analytics, data modeling techniques and data clean room technology
- Drive alignment, prioritization, risk assessments and issues mitigation across all insights innovation initiatives within portfolio, including management of initiative roadmaps, project scopes, and status reporting
- Lead implementation strategy and ongoing customer support for data cleanroom solutions including driving clean room solutions adoption, utilization and optimization aligned to customers’ media intelligence and growth objectives
- Advise data clean room and engineering partners on prioritization of cleanroom features, bug fixes and technical enhancements
Team Leadership
- Lead teams to consistently deliver organization-shaping initiatives
- Design and implement new ways of working that increase Customer Insights impact on the business and accelerate time to value
- Create a collaborative work environment by fostering knowledge sharing, constructive feedback, transparency, accountability and continuous learning
- Coach and mentor team members, in best-practice of modern planning and execution -- modeling LinkedIn’s culture and values, to ensure execution balances process rigor with solution-driven agility to achieve commercial outcomes
Stakeholder Partnerships
- Work with both technical and non-technical stakeholders to lead in capturing complex business requirements, determining solution prioritization and evaluating customer needs and resourcing
- Establish strong partnerships with Sales, Product, Product Marketing, Engineering and Data Science teams to advance solutions innovation and adoption goals.
- 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.
Commercial Impact
- Act as a trusted advisor to sales partners and customers, offering expertise on clean room and other advanced insights capability areas, query development, and optimization techniques.
- Ensure all intelligence innovations align with key commercial objectives, equipping sales teams with insights that support revenue expansion, relationship-building, and strategic advisory capabilities
- Lead in the development of 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 key business priorities and customer outcomes
Qualifications
Basic Qualifications
- 10+ years of experience in digital media analytics, marketing analytics, media consulting or related industry
- 5+ years of technical data analytics project and/or program management experience in customer-facing roles driving projects, consulting, and/or executing on deliverables
- Experience in advanced SQL, python, data modelling, marketing analytics methodologies, and databases.
- Experience with CRM, identity solutions data cleanroom technologies (e.g., Google Ads Data Hub, LiveRamp, Snowflake)
- 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 data science, computer science, engineering, mathematics or her quantitative field or equivalent practical experience
- 15+ years of experience in digital media analytics, marketing analytics, media consulting or related industry
- 7+ years of technical data analytics project and/or program management experience in customer-facing roles driving projects, consulting, and/or executing on deliverables
- 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
- Expertise in advanced SQL, python, data modelling, marketing analytics methodologies, and database
- Experience with CRM, identity solutions data cleanroom technologies (e.g., Google Ads Data Hub, LiveRamp, Snowflake)
- Experience with Large Lan Gen-AI techniques
- Excellent business judgment, strategic thinking and solutions orientation
- Experience in B2B marketing analytics and marketing intelligence, or B2B consulting
- Experience with CRM platform technology and data structures
- Experience working directly with engineering and technical teams, as well as individual contributors
- Excellent communication, presentation skills and experience presenting to executive stakeholders and influencing senior leadership
- Experience working with offshore analyst teams
Suggested skills
- Strategic Leadership
- Technical Program Management
- Data-driven Consulting
- Data Storytelling
- Executive Communications
- 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.
Additional Information
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.
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 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.
