Job Description

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 or remote work options, meaning 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 this role can be performed remotely in most locations in the country of employment. 

The Group Manager, Marketing Data Operations, will be an important leader in ensuring the data organization delivers on marketing requirements and capabilities. The Group Manager and their team will act as a key intermediary between the marketing organization, data organization, MarTech, and engineering, consolidating and organizing business requirements and ensuring fluid communications between all groups. The team will be 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 Group Manager will help lead key projects, including the rebuilding marketing data foundations, translating business requirements into technical requirements and enhancements and the updates to attribution logic as needed based on new go-to-market motions – all of which have tremendous influence on how we measure our business and ultimately make investment decisions.   

The ideal candidate will be an exceptional leader in project and stakeholder management, able to move seamlessly between complex, technical conversations and high-level concepts. This Group Manager has a strong knowledge of how marketing works and is well versed in marketing analytics, knowing the underlying technical requirements to serve a 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 change management 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 leader who can work through roadblocks with innovative ideas and ensure we are building out a data environment that meets marketing use cases.   

Responsibilities:  

• Serve as a leader on the Marketing Audience & Data Operations team   
• Run the Data Operations function, supporting both acquisition, consumer and customer marketing, across both our field and online businesses, spanning all lines of business    
• Able to gather and coordinate user requirements to inform design, or reverse engineer requirements from existing data sources & applications  
• Identify, 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 way   
• Work in partnership with data engineering/data science, to prioritize and delegate data enhancements and fixes   
• Lead projects in a way that inspires trust and confidence, considers stakeholder feedback, and moves things along in a transparent, efficient, and effective manner.  

Qualifications

Basic Qualifications:  

• Undergraduate in Computer Science, Engineering, Mathematics or equivalent years of experience  
• 8+ years’ experience in analytics, project management, marketing, or data engineering  
• 4+ years of SQL experience  

Preferred Qualifications:  

• Proven ability to collaborate with key partners and stakeholders to define metrics, identify requirements and solve problems independently  
• Understanding of how data is used across Marketing, including performance management, reporting, measurement capabilities like modeled attribution, media mix modelling 
• Experience with successful technical leadership, working on complex projects that span both B2B and B2C business models  
• Experience in driving performance and scalability in a data environment  
• Understanding of digital marketing, social, and advertising technologies, such as Google Marketing Platform, Facebook, Google Ad Manager, Social Ad Managers, Singular, and/or Adobe  
• Excellent problem-solving skills and initiative  
• Must be a champion in change management and communication across a large matrixed organization.  
• Willingness to learn quickly and autonomously in a fast-paced environment  
• Excellent verbal and written communication skills  

Suggested Skills: 

• People Management
• SQL
• Marketing Analytics
• Digital Marketing
• Communication

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $144,000 to $224,000. 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.