Director of Data & Analytics- LinkedIn Marketing Solutions GTM Ops

This role will be based in New York Chicago or Bellevue (San Franciso Bay Area not preferred but willing to consider)

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. 

The Director of Data & Analytics for LinkedIn Marketing Solutions (LMS) GTM Ops will play a key role in defining the future-state business performance measurement and management of our Media businesses. This will be responsible for leading our Analytics Engineering Advanced Analytics and Data Products & Operations teams that currently support LinkedIn Marketing Solutions with critical business metrics analytics and operations. This leader will be responsible for owning relationships with key partners in Data Science Product Engineering Sales and GTM Ops Leaders to define and align on our reporting and predictive insights priorities considering critical business needs and the LinkedIn ecosystem. 

The ideal candidate will have exceptional analytical and problem-solving skills and be comfortable interacting with all levels and functions including Executive Management Data Science Finance Product Engineering Business Operations and Sales Operations leaders and colleagues.

Using strong communication skills the Global Director will effectively collaborate with a variety of people and job functions across all geographies accomplishing tasks of moderate to high complexity and scope and can perform in a challenging and fast-paced environment. The Global Director will also be responsible for building and developing a top-caliber operations team.

Responsibilities:

• Develop and maintain core GTM Data Foundations for Revenue and Mapping

• Execute and enhance core GTM data processes

• Gather requests and feedback to build core GTM analytics dashboards for the business and conduct various analytics to drive insights for the global business.

• Define and implement the future-state vision of the team in an AI driven world

• Own critical relationships across Data Science Product and Engineering and be the voice of the business in key metrics analytics and analytic tool discussions.

• Own prioritization recommendations for predictive insights and reporting needs recognizing business requirements critical timelines and tradeoffs.

• Prepare exec communications (e.g. bi-weekly exec updates steer co materials quarterly business reviews) in collaboration with cross-functional partners.

• Work with cross-functional partners and key stakeholders to drive core process improvement resulting in clear ROI and leverage for our global teams.

• Develop and set targets for measures of team success.

• Inspire excellence through example coaching developing and coaching others; foster a positive and values-driven team culture.

Qualifications :

Basic Qualifications:

• 10 years work experience in data analytics

• 10 years work in B2B - sales operations or finance

• 3 years experience managing people leaders

• Bachelors degree in Business Technical or a related field or equivalent experience

Preferred Requirements:

• Experience in advertising/media

• Experience managing people managers.

• Experience using and developing reports metrics and dashboards with PowerBI SQL and Tableau. 

• Strong communication skills including written and verbal communication experience with senior management.

• Experience working in high-growth performance focused environments.

• Deep interest in analyzing data and the ability to see beyond the numbers to drive sound decision-making.

Suggested Skills:

• Leadership 

• Cross-functional Collaboration 

• Influencing 

• Communication 

LinkedIn is committed to fair and equitable compensation practices. 

The pay range for this role is $194000 to $320000 OTE. 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  Information :

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No

Employment Type :

Full-time