Senior Data Operations Manager

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

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: 

• 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, delegate and UAT data enhancements and fixes 
• Lead projects in a way that inspires trust and confidence, considers stakeholder feedback, and moves forward in a transparent, efficient, and effective manner 
• Scope requirements and work with technical and non-technical teams to identify and implement solutions 
• Manage the two-way translation between business and technical requirements for B2B or B2C Campaign Reporting 
• End to end ownership of key programs, including scoping, influencing, educating, change management and communications 

Qualifications

Basic Qualifications: 

• BA/BS Degree or equivalent years of experience 
• 6+ years’ experience in analytics, project management, program management or marketing 
• 3+ years of SQL experience 
   

Preferred Qualifications: 

• BA/ BS Degree in Computer Science, Engineering, Mathematics or equivalent years of experience 
• 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 
• Understanding of digital marketing, social, and advertising technologies, such as Google