LinkedIn · 2 months ago
Manager, Trust Business Intelligence & Insights
Mountain View, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$116K/yr - $193K/yr
10+ years expLinkedIn is the world’s largest professional network, dedicated to creating economic opportunities for every member of the global workforce. The Trust Business Intelligence & Insights Manager will lead a team of analysts to drive data-driven initiatives that enhance platform safety and member engagement through collaboration with various teams.
Professional NetworkingRecruitingSocial MediaSocial Recruiting
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
Qualification
Required
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
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
Benefits
Generous health and wellness programs
Time away for employees of all levels
Annual performance bonus
Stock
Benefits
Other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
10001+ employees
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Leadership Team
Ryan Roslansky
Chief Executive Officer
Dan Shapero
Chief Operating Officer
Recent News
2026-01-22
Entrepreneur.com
2026-01-21
Company data provided by crunchbase