Operations Analytics & Insights, Tech Lead

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 Strategy Planning & Operations (SPO) team is a fast-moving group essential for setting the direction of LinkedIns Member & Customer Support resolving complex cross-functional challenges and ensuring a world-class customer experience.   

We are looking for Ops Analytics & Insights Tech Lead who can be a steward of global operational analytics and performance metrics across LinkedIn Global Support and Product Operations. You will be responsible for the end-to-end lifecycle of our most complex projects from prototyping new AI-driven concepts to deploying scalable automated systems. You will learn the business inside-out and lead engagements with business leaders Strategic Finance Product Engineering and Operations teams to identify opportunities design and deliver results. 

The ideal candidate will combine technical & analytical strengths with the strategic storytelling needed to influence GTM leadership as well as bring deep expertise in translating complex business requirements into clear actionable insights. Our solutions aim to provide the right information at the right time to enable the best outcomes  for our business and our billion members and customers.  

Responsibilities: 

• Develop scalable data products and AI/ML models integrating modern AI techniques to solve business problems across LinkedIns Global Support organization 
• Work with upstream technology partners to operationalize and scale models from prototype to production ensuring reliability and business impact 
• Identify operational opportunities gaps and trends through the work to improve scalability efficiency and performance 
• Make business recommendations & translate highly complex technical concepts and model outputs into clear concise and actionable narratives for senior GTM and Operations leadership   
• Lead analytical projects and grow a thriving analytics team function 

Qualifications :

Basic Qualifications 

• 8 years of experience working with data systems or tools in a business setting or equivalent experience. 
• Experience in SQL and experience with large-scale data warehouses (e.g. Presto Trino Spark SQL).  
• Experience architecting building and deploying machine learning models and/or automated data solutions into a production environment.  
• BA/BS degree in a quantitative field (e.g. Computer Science Statistics Operations Research Engineering) or equivalent practical experience. 

Preferred Qualifications 

• Experience with technologies and frameworks (e.g. Claude Code Cursor etc.) 
• Experience with modern data stack and automation tools (e.g. Airflow Databricks dbt) 
• Deep understanding of Support financial and operational metrics (e.g. resolution time SLA customer health etc.)  
• A self-directed intellectually curious mindset with a proven ability to lead ambiguous complex technical projects from 0 to 1 
• A passion for AI coupled with a strong opinionated perspective on how to strategically apply AI tools and capabilities to drive business decisions in a fast-moving environment 

Suggested Skills 

• AI fluency  
• Data analysis  
• Data visualization  
• Data storytelling   

Additional Information :

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No

Employment Type :

Full-time