Manager, Trust Business Intelligence & Insights

LinkedIn•Mountain View, CA

18h•$116,000 - $193,000•Hybrid

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.
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.

Benefits

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.

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