Manager, Strategic Sourcing - Business Intelligence

This role will be based in Mountain View, CA.

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.

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

We are looking for a Manager, Strategic Sourcing Business Intelligence to join our team in driving strategy for our data roadmap for dashboards, analytics, and reporting for our organization.  In this role, you will identify key insights through our data to create operational efficiencies. You will partner with our technical teams to ensure data integrity across systems.   

Responsibilities:

• Assess and/or guide the assessment of large datasets to discover meaningful patterns, trends and relationships
• Develop advanced analytics and / or cognitive approaches to generate insights and improve performance
• Run the day-to-day operational activities of the Business Intelligence team and ensure team goals are achieved
• Own your projects by crafting project plans, tracking progress, and communicating project updates to stakeholders and senior leadership
• Build, develop and maintain data models, automated reports, and dashboards that align to strategic performance metrics
• Connect with technical teams to identify data tables and schemas needed for analysis. Strong understanding of ERPs and planning databases will be needed to determine how to prep and blend data from different systems
• Identify and solve process gaps that contribute to poor data quality or long lead times to update our systems
• Drives future strategic direction of reporting and analysis.