Boehringer Ingelheim

CyberSecurity Automation & AI Product Owner

Lead CyberSecurity Automation & AI Product Owner role at Boehringer Ingelheim, Catalonia. Drive SOAR/ServiceNow automation roadmap, reduce MTTA/MTTR with Applied AI/Data Science. Requires 5+ cybersecurity, 2+ product management, Python, KQL, Azure expertise.

Department - JobBoardly X Webflow Template
Direct Hire
Job Level - JobBoardly X Webflow Template
Mid-Level
ServiceNow Role Type:
Department - JobBoardly X Webflow Template
Platform Owner
ServiceNow Modules:
Department - JobBoardly X Webflow Template
IT Service Management
Department - JobBoardly X Webflow Template
Incident Management
Department - JobBoardly X Webflow Template
Integration Hub
Department - JobBoardly X Webflow Template
Security Operations
Department - JobBoardly X Webflow Template
Strategic Portfolio Management
ServiceNow Certifications (nice to have):
Department - JobBoardly X Webflow Template
Certified Implementation Specialist - IT Service Management

Job description

Date - JobBoardly X Webflow Template
Posted on:
 
October 31, 2025

CyberSecurity Automation & AI Product Owner to lead product vision, roadmap, and delivery for Security Automation portfolio across SOAR and ServiceNow automation, expanding it with Applied AI/Data Science use cases for SecOps. Partner with SOC, Incident Response and Threat Intelligence teams to turn pain points into measurable outcomes: Reducing MTTA/MTTR, cutting manual effort, and improving detection and response quality.

Requirements

  • Bachelor’s/Master’s in Computer Science, Engineering, Data Science, or equivalent experience.
  • Track record leading cross-functional teams to deliver security automation and AI features.
  • 5+ years in Cybersecurity/IT with 2+ years in Product Management/Ownership or Technical Program Management delivering automation and/or AI products.
  • Proven delivery with SOAR (Logic Apps/Playbooks) at scale.
  • Hands-on Applied AI/Data Science for SecOps: experience shaping use cases and partnering with data teams on NLP, anomaly detection, classification, risk scoring; strong grasp of evaluation (precision/recall/F1), drift management, model monitoring, and MLOps (e.g., Azure ML/Databricks/Synapse).
  • Solid technical fluency: Python and/or PowerShell literacy, APIs/REST, JSON, webhooks, OAuth/service principals, and event-driven patterns.
  • Demonstrated impact on MTTA/MTTR, false-positive reduction, and automation rate; metrics-driven decision making.
  • Excellent stakeholder management and communication across SOC, IR, Engineering, and leadership; ability to translate requirements into value.
  • KQL for Sentinel analytics/hunting; Microsoft Defender/EDR/XDR ecosystem; TIP integrations.
  • Microsoft cloud automation: Azure Logic Apps, Functions, Automation Accounts, Key Vault, Managed Identities, RBAC.
  • Power Automate (Graph/Defender connectors) and Power BI (product/operations dashboards).
  • Infrastructure-as-Code (ARM/Bicep/Terraform) and Zero Trust patterns.
  • ServiceNow Performance Analytics/ATF; custom spokes; ITSM/IR best practices.
  • Experience with LLM safety and guardrails (prompt security, grounded generation/RAG over runbooks and KBs, data privacy/PII).
  • Desired certifications, courses and training: SC-100, AZ-500, AZ-400, ServiceNow certifications, AI/ML certifications.

Benefits

  • Flexible working conditions
  • Life and accident insurance
  • Health insurance at a competitive price
  • Investment in your learning and development
  • Gym membership discounts

Requirements Summary

Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or equivalent experience. 5+ years in Cybersecurity/IT with 2+ years in Product Management/Ownership or Technical Program Management delivering automation and/or AI products