At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can 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, or you can work remotely from most locations within the country listed for this role.
This 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.
The 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.
Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Suggested Skills:
LinkedIn is committed to fair and equitable compensation practices.
The 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.
The 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: https://careers.linkedin.com/benefits.
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