Director Of Detection Models & Data Analytics

Point & Pay

Remote
**
Machine learning model deployment
Ml ops lifecycle management
Security operations and incident response
** Point & Pay is seeking a Director of Detection Models & Data Analytics to lead their threat management strategy, focusing on the development and deployment of machine learning models and data architecture. This remote role requires expertise in security operations, machine learning, and cross-functional collaboration. The company offers competitive benefits and values diversity and inclusion within its workforce. **

Job Summary

  • Lead the end-to-end strategy for threat management by overseeing the research, design, development, and deployment of advanced statistical and machine learning models.
  • Define and execute enterprise strategies for Log Management and AI-driven automation, ensuring architectures support scalable data ingestion and real-time threat detection.
  • Establish and track Key Performance Indicators (KPIs) and operational metrics to quantify program efficacy, demonstrate ROI, and drive data-informed continuous improvement.

Matching Summary

Match Score: 75

** Point & Pay is seeking a Director of Detection Models & Data Analytics to lead their threat management strategy, focusing on the development and deployment of machine learning models and data architecture. This remote role requires expertise in security operations, machine learning, and cross-functional collaboration. The company offers competitive benefits and values diversity and inclusion within its workforce. **

Skills & Requirements

Must-have

  • Machine learning model deployment
  • ML Ops lifecycle management
  • Security operations and incident response
  • Security tooling and SIEM/SOAR/EDR
  • Data strategy and architecture for AI

Nice-to-have

  • Cross-functional collaboration with DevOps
  • Embedding security into CI/CD pipelines
  • Data-informed continuous improvement

Key Requirements

  • 7+ years of experience in DevOps
  • Bachelor's degree or equivalent practical experience
  • Proven track record of designing, training and deploying ML models
  • Expertise in feature engineering for high-cardinality datasets
  • Experience integrating security tools with enterprise systems

Work Rights

Not specified

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