Manager - Data Science/Data Lake
Listed on 2026-07-09
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IT/Tech
Cybersecurity, AI Business & Operations
Data Lake - Manager
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision‑making
- Contributing to strategy, design, and implementation work streams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while coordinating with cross‑functional stakeholders and project team members
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or work streams
- Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
QualificationsRequired:
- 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
- 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, Lang Chain, or CrewAI
- 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cyber security cloud platforms such as Google Sec Ops, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, Tensor Flow, Scikit‑learn, Num Py, or Sci Py
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client‑ready materials using Microsoft PowerPoint or Microsoft Visio
The wage range for this role takes into account the wide range of factors that…
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