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.nnJoin us to transform the way the world works.nnAt 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.nnThis role can be based in San Francisco, Sunnyvale, or New York.nnThis individual contributor will be essential in ensuring the data organization delivers solutions that fit marketing requirements and capabilities. The team acts as a key intermediary between the marketing organization, data organization, MarTech, and engineering, consolidating, and organizing business requirements and ensuring effective communication between both groups. The team is responsible for setting a clear vision for what the business needs and working closely with our data science and engineering partners to make the vision a reality. The position will help lead key projects, including rebuilding marketing data foundations, translating business requirements into technical requirements, and troubleshooting data issues, and setting the technical the technical standards for the Data Organization all of which have tremendous influence on how we measure our business and make investment decisions.nnThe ideal candidate will be exceptional in project and stakeholder management, able to move seamlessly between complex, technical conversations, have a deep understanding of data scheduling services and code repositories and high-level concepts. This individual has a strong knowledge of how marketing works and is well versed in marketing analytics, knowing the underlying technical requirements that enable informed decision-making in the marketing organization. They will be exceptional at building strong relationships across the marketing and data science organizations, distilling complex ideas into easy-to-digest communications, and running large programs in a way that inspires confidence and trust across both M&C and the data organization. They will be able to have both a detailed conversation in ‘the weeds’ of our data architecture and systems, as well as translate these highly technical concepts to the ‘so what’ for non-technical audiences. Above all else, the ideal candidate is an excellent team-player who can work through roadblocks with innovative ideas and ensure we are building out a data environment that meets marketing use cases.nnResponsibilities:nnAble to gather and coordinate user requirements to inform design, or reverse engineer requirements from existing data sources & applicationsnnIdentify, stand up and manage key projects to support changes to our data infrastructure, developing project charters, setting up key meetings and managing deliverables along the waynnWork in partnership with data engineering/data science, to prioritize, delegate and UAT data enhancements and fixesnnLead projects in a way that inspires trust and confidence, considers stakeholder feedback, and moves forward in a transparent, efficient, and effective mannernnScope requirements and work with technical and non-technical teams to identify and implement solutionsnnManage the two-way translation between business and technical requirements for B2B or B2C Campaign ReportingnnEnd to end ownership of key programs, including scoping, influencing, educating, change management and communicationsnnBasic Qualifications:nnBA/BS Degree or equivalent years of experiencenn6+ years’ experience in analytics, project management, program management or marketingnn3+ years of SQL experiencennPreferred Qualifications:nnBA/ BS Degree in Computer Science, Engineering, Mathematics or equivalent years of experiencennProven ability to collaborate with key partners and stakeholders to define metrics, identify requirements and solve problems independentlynnUnderstanding of how data is used across Marketing, including performance management, reporting, measurement capabilities like modeled attribution, media mix modellingnnUnderstanding of digital marketing, social, and advertising technologies, such as Google Marketing Platform, Facebook, Google Ad Manager, Social Ad Managers, Singular, and/or AdobennExcellent problem-solving skills and initiativennMust be a champion in change management and communication across a large matrixed organizationnnWillingness to learn quickly and autonomously in a fast-paced environmentnnExcellent verbal and written communication skillsnnAbility to think strategically and craft clear plans and processes, particularly in ambiguous situationsnnExperience in communicating and influencing both technical and non-technical stakeholdersnnExperience with marketing campaign operations and taxonomynnExperience in project or program managementnnFamiliarity with B2B and B2C marketing strategy and measurementnnSuggested Skills:nnAnalyticsnnProgram ManagementnnProject ManagementnnSQL/PythonnnGithubnnLinkedIn is committed to fair and equitable compensation practices.nnThe pay range for this role is $121,000 to $188,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.nnThe total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: .nnEqual Opportunity StatementnnLinkedIn 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 ( .nnPlease reference the following information for more information: andnn for more information.nnLinkedIn 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.nnIf 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 and describe the specific accommodation requested for a disability-related limitation.nnReasonable 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:nnDocuments in alternate formats or read aloud to younnHaving interviews in an accessible locationnnBeing accompanied by a service dognnHaving a sign language interpreter present for the interviewnnA 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.nnLinkedIn 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.nnSan Francisco Fair Chance Ordinance ?nnPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.nnPay Transparency Policy Statement ?nnAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates ?nnPlease follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: