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Manager – Data Science / Data Lake Strategy, Growth, and Transformation

SpringCube

Full-time - Engineering Manager

IT Services & Consulting

United States, Los Angeles - California

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global professional services organization is seeking a Data Science Manager to drive enterprise technology strategy and transformation initiatives. The organization specializes in cybersecurity, cyber defense, and analytics, helping clients modernize security operations, strengthen cyber resilience, and leverage artificial intelligence and data-driven insights to enhance threat detection and response across multiple industries.

Position Summary
The Data Science / Data Lake Manager will apply analytics, artificial intelligence, and security operations expertise to client-facing projects. This role focuses on modernizing cyber data and analytics capabilities, supporting transformation initiatives, and delivering actionable insights that strengthen security operations and drive business impact.

Responsibilities

  • Support the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Apply artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
  • Work with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contribute to strategy, design, and implementation workstreams across cyber transformation engagements
  • Prepare analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members
  • Lead projects or workstreams, providing clear guidance and support to team members
  • Manage and prioritize multiple tasks in a fast-paced and dynamic environment

Qualifications
Required:

  • 10+ years of experience in analytics consulting, cybersecurity analytics, or security operations
  • 10+ years of experience with AI development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 10+ years of experience using Python, SQL, R, or SAS for data preparation, feature engineering, visualization, or machine learning workflows
  • Experience with cybersecurity cloud platforms such as Google SecOps, AWS, or Microsoft Azure; exposure to SOC threat hunting or incident response
  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field, or 4 years of equivalent professional experience
  • Ability to travel up to 50% on average, depending on client assignments
  • Limited immigration sponsorship may be available

Preferred:

  • Experience designing, developing, or deploying enterprise AI or data science solutions
  • Applying AI, machine learning, or advanced data engineering to cybersecurity use cases
  • Parsing and normalizing cyber or IT telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Creating client-ready materials using Microsoft PowerPoint or Visio

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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