Data Insights – Tech Manager – IC4

This role is based in either our Sunnyvale San Francisco New York or Chicago offices. 

At LinkedIn we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option meaning you can both work from home and commute to a LinkedIn office depending on whats best for you and when it is important for your team to be together. 

The Tech & Analytics team builds the analytical and automation foundation that powers LinkedIns most important Go-to-Market decisions. We partner across Sales Customer Success Marketing and Engineering to create a unified understanding of GTM performance. Our mission is to transform data into proactive insights and intelligent systems that guide LinkedIns growth and efficiency. 

As a Data Insights Tech Lead you are the technical authority and chief architect for the next generation of our GTM data solutions. This is a hands-on role for a senior IC who will spend a significant portion of their time architecting solutions writing production-grade code and mentoring junior data scientists and analytics engineers. 

You will be responsible for the end-to-end technical lifecycle of our most complex projects from prototyping new AI-driven concepts to deploying scalable automated systems. You will combine the analytical depth of a principal data scientist with the strategic storytelling needed to influence GTM leadership. Your primary goal is to architect and build the agentic workflows predictive models and automated systems that will fundamentally change how our GTM teams operate. 

Responsibilities: 

• Design and deliver enterprise-grade data and analytics products driving critical business decisions and championing visualization best practices. 
• Collaborate closely with data modeling teams to optimize performance and ensure scalable solutions. 
• Define and execute a strategic product vision balancing business needs with technical constraints and managing all stages of the product lifecycle. 
• Develop scalable data products and AI/ML models integrating modern AI techniques to solve business problems. 
• Mentor a team of data scientists and engineers setting high standards for technical rigor and code quality. 
• Translate complex technical concepts into actionable narratives for senior leadership and foster cross-functional collaboration. 
• Lead high-impact global data initiatives architecting business-critical datasets and driving organizational success through data solutions. 
• Champion the adoption of data products across the organization enabling teams to self-serve insights and make informed decisions. 

Qualifications :

Basic Qualifications 

• Bachelors degree in Computer Science Information Systems Engineering Mathematics Statistics Physics Economics Business Information Technology or related field and 4 years of experience working with data systems or tools in a business setting 
  OR  
  equivalent experience. 

Preferred Qualifications 

• MS or PhD in Computer Science Statistics or a related quantitative field. 
• Experience with GenAI technologies and frameworks (e.g. LangChain LlamaIndex LLM APIs). 
• Experience with MLOps principles and tools (e.g. MLflow Kubeflow SageMaker Vertex AI) for model versioning deployment and monitoring. 
• Experience with modern data stack and automation tools (e.g. Airflow Databricks dbt). 
• Deep understanding of GTM financial and operational metrics (e.g. pipeline ACV margin LTV CAC Customer Health). 
• 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 machine learning to drive business decisions in a fast-moving environment. 
• A resilient and resourceful get-it-done attitude with the ability to thrive in a dynamic fast-paced setting. 
• Proven ability to influence a technical roadmap and lead projects in a fast-moving ambiguous environment. 

Suggested Skills 

• Data Analysis  
• Business Intelligence (BI) 
• Data visualization  
• Data Storytelling  
• Data Architecture  

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $138000 - $225000. 

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 :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

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No

Employment Type :

Full-time