Senior Manager, InfoSec & Risk Data Science

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.

LinkedIns InfoSec Risk Organization is seeking a strategic and technically adept Senior Manager of Risk Data Science to lead a team focused on quantifying modeling and mitigating information security risks across the enterprise. This role is pivotal in advancing LinkedIns risk posture through data-driven insights continuous controls assurance and scalable risk programs aligned with global regulatory frameworks including ISO 27001 NIST CSF SOX DMA (Digital Marketing Act) AI Regulations and the Digital Services Act (DSA).

You will collaborate cross-functionally with engineering legal compliance and product teams to embed risk intelligence into operational workflows and strategic planning. This role is ideal for a leader who thrives at the intersection of data science security and governance.

Responsibilities :

Define the strategic vision and roadmap to empower InfoSec by deepening our understanding of governance controls risk and compliance systems enabling effective optimizations and data-informed decisions.

Design and implement automated control monitoring systems to continuously validate security control performance and surface emerging vulnerabilities.

Develop and operationalize machine learning and statistical models to assess threat likelihood control effectiveness and systemic risk exposure.

Lead risk assessment and maturity initiatives including executive reporting audit preparedness and alignment with security privacy AI and resiliency frameworks.

Build secure data pipelines dashboards and analytics platforms that improve visibility into security posture and support risk-informed decision-making.

Ensure risk analytics controls assurance and reporting meet regulatory compliance and internal governance requirements.

Establish prioritization frameworks and partner alignment to ensure security efforts are focused on the highest-impact risks.

Analyze large-scale structured and unstructured data generating insights that strengthen control effectiveness incident prevention and customer trust.

Research develop and deploy cutting-edge methodologies that improve systemic risk measurement forecasting and security program scalability.

Partner cross-functionally with InfoSec engineering product security TPMs and business stakeholders to embed risk intelligence into engineering and operational workflows.

Lead the team to deliver strong results by researching and building cutting edge leverageable methodologies and solutions.

Be a role model and professional coach for data scientists and managers. Help them realize their potential by setting clear expectations openly evaluating performance upholding accountability and providing challenges (within and outside their team) to stretch their skills.

Align with relevant teams on prioritization.

Build strong collaboration and connective tissue with the other Line of Business Data Science teams and with key horizontal DS functions.

Represent the organization as an industry thought leader in security analytics resilience and risk measurement forums.

Qualifications :

Basic Qualifications :

BS or above degrees in a quantitative field - Computer Science Operational Research Statistics Economics or related fields

7 years of relevant industry or relevant academic experience in Data Science / Analytics working with data; 2 years experience in managing a team

Experience with SQL / Relational databases and data visualization tools

Experience in applied statistics

Preferred Qualifications :

10 years of relevant work experience

7 years of experience in information security risk management or GRC.

7 years of hands-on programming experience (e.g. Python SQL Java Scala).

Experience with large-scale distributed systems and cloud infrastructure (AWS Azure GCP).

5 years of experience managing technical teams.

2 years of experience applying ML / AI to risk modeling or threat detection.

Proven ability to design and implement continuous controls assurance frameworks.

MS / PhD degree in a quantitative or cyber security-related discipline (i.e. Computer Science Operational Research Statistics Economics)

Strong leadership with track records in building high performing Data Science teams driving projects applying strategic thinking building thought leadership and influencing senior leaders and executives

Experience designing and deploying secure scalable web applications or internal platforms.

Excellent communications skills with the ability to synthesize simplify and explain complex problems to different types of audience including executives

Familiarity with identity and access management systems (OAuth SAML Zero Trust).

Deep understanding of standards and regulatory frameworks (SOX ISO 27001 PCI DSS NIST GDPR EU DSA EU AI EU DMA).

Experience contributing to strategic planning scorecard development and portfolio reviews.

Experience with enterprise AI / ML platforms such as Azure Machine Learning Azure AI Foundry or Microsoft Fabric or equivalent.

Familiarity with model evaluation frameworks (e.g. Gen AI Robustness Analyzer Responsible AI Toolkit).

Hands-on experience with data science tools (e.g. Python SQL Jupyter Power BI) and ML lifecycle management.

Knowledge of AI governance standards (e.g. NIST 800-218a MITRE Atlas EU AI Act).

Suggested Skills : People Leadership

InfoSec experience

Data Science / Analytics

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 $168000-$276000. 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

Key Skills

Arm,Risk Management,Financial Services,Cybersecurity,COSO,PCI,Root cause Analysis,COBIT,NIST Standards,SOX,Information Security,RMF

Department / Functional Area : Engineering

Experience : years

Vacancy : 1