This role will be hybrid in LinkedIn's Mountain View campus.

The Trust Business Intelligence & Insights Manager is a cross-functional leadership role that blends data science, data management, analytics, and strategy to create impact at global scale. You will lead a talented team of analysts while partnering closely with product, trust, engineering, policy, and data science teams. Together, you’ll build models and insights that help keep members and our platform safe.

Responsibilities Leadership:

• Partner with teams in, Product, Engineering, Policy, Finance, and Operations to identify new opportunities, challenge assumptions, and align data-driven goals , driving transformative outcomes across Trust.
• Define and execute a multi-year vision for Trust Ops Data initiatives supporting LinkedIn’s trust and operational goals.
• Lead and develop high-performing teams of analysts across geographies; mentor senior talent and foster a culture of excellence, inclusion, and craftsmanship.
• Collaborate with engineering and data science teams to shape data platform evolution enabling scale.

Technical Execution

• Leverage the world’s richest professional dataset to uncover insights that improve member engagement, marketplace integrity, and business growth.
• Develop advanced models, causal inference frameworks, and experiments to evaluate new features, trust defenses, and understand impact of efficiencies.
• Build and maintain data pipelines, metrics, dashboards, and insights to enable data-driven decisions across LinkedIn.
• Lead technical reviews, ensure data and code quality, and define engineering best practices for data systems operating at massive scale.
• Translate analytical findings into clear, compelling narratives that influence executive decision-making.
• Develop compelling data visualizations and narratives that translate complex data into clear, actionable insights for diverse audiences.

Qualifications Basic Qualifications

• BA/BS in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, Economics, etc.) , or related technical discipline, or equivalent practical experience.
• 10+ years of experience in Data Science, Business Intelligence, or Analyst roles
• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
• Experience with SQL and at least one programming language (Python, R, Java)
• Experience with large-scale distributed data systems (e.g., Hadoop, Spark, Hive, Presto)
• Experience designing and analyzing large data sets and applying statistical modeling techniques

Preferred Qualifications

• Master’s or PhD degree in Computer Science, Statistics, Applied Mathematics, Engineering
• Excellent communication and storytelling skills with the ability to influence both technical and executive audiences
• Experience leading cross-functional data or AI programs in a global technology company
• Strong background in applied statistics, causal inference, A/B testing, and machine learning
• Experience in Trust & Safety, Anti-Abuse, or Growth domains

Suggested Skills:

• Technical Leadership
• Business Analytics & Intelligence
• Distributed Data Systems
• Python
• Trust & Safety

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $ 116,000 to $193,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

Additional 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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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

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