Senior Project Manager

Jobtailor

Kraków

On-site

PLN 90,000 - 130,000

Full time

14 days+

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Job summary

Jobtailor in Kraków is seeking a senior Delivery Leader to drive end-to-end AI-enabled cybersecurity initiatives, coordinating multiple workstreams and backlogs in a fast-paced enterprise environment.

You will enable secure deployments, govern risk, and align cybersecurity, data, and AI teams while ensuring compliance and strong stakeholder engagement.

Qualifications

  • Advanced English in speaking and writing.
  • Proven success leading large-scale delivery programmes across cybersecurity, data, and AI domains, coordinating multiple teams within complex enterprise environments.
  • Effective at building relationships with senior stakeholders and influencing decision-making across technology, security, and risk management functions.
  • Practical understanding of AI/ML delivery frameworks, including model deployment, operational monitoring, performance degradation management, and retraining processes.
  • Experience operating within highly regulated organisations, ensuring compliance with governance standards, audit expectations, and risk controls.
  • Solid knowledge of cybersecurity operations, including security monitoring, incident response practices, and detection engineering methodologies.

Responsibilities

  • Lead end-to-end delivery of AI-driven cybersecurity initiatives across multiple workstreams, managing delivery plans, milestones, dependencies, and risks.
  • Drive Agile/Hybrid delivery processes, translating cybersecurity priorities into actionable backlogs, release plans, and scalable delivery roadmaps.
  • Support implementation of AI-enabled cybersecurity solutions in areas such as SOC operations, threat detection, vulnerability management, identity monitoring, and GenAI-powered analyst assistance.
  • Collaborate with cybersecurity, engineering, platform, and data teams to ensure secure deployment, high data quality, and reliable operational performance of AI solutions.
  • Ensure compliance with security, privacy, and responsible AI standards, including governance processes, documentation, validation, and audit readiness.
  • Implement safeguards for GenAI solutions, including prompt controls, human oversight, logging, and data protection measures.
  • Manage stakeholder communication, governance forums, delivery reporting, and coordination with third-party vendors where required.

Skills

Advanced English
Delivery leadership
Stakeholder management
AI/ML delivery
Regulatory compliance
Cybersecurity

Job description

Responsibilities
  • Lead end-to-end delivery of AI-driven cybersecurity initiatives across multiple workstreams, managing delivery plans, milestones, dependencies, and risks.
  • Drive Agile/Hybrid delivery processes, translating cybersecurity priorities into actionable backlogs, release plans, and scalable delivery roadmaps.
  • Support implementation of AI-enabled cybersecurity solutions in areas such as SOC operations, threat detection, vulnerability management, identity monitoring, and GenAI-powered analyst assistance.
  • Collaborate with cybersecurity, engineering, platform, and data teams to ensure secure deployment, high data quality, and reliable operational performance of AI solutions.
  • Ensure compliance with security, privacy, and responsible AI standards, including governance processes, documentation, validation, and audit readiness.
  • Implement safeguards for GenAI solutions, including prompt controls, human oversight, logging, and data protection measures.
  • Manage stakeholder communication, governance forums, delivery reporting, and coordination with third-party vendors where required.
Requirements
  • Advanced English in speaking and writing
  • Proven success leading large-scale delivery programmes across cybersecurity, data, and AI domains, coordinating multiple teams within complex enterprise environments.
  • Effective at building relationships with senior stakeholders and influencing decision-making across technology, security, and risk management functions.
  • Practical understanding of AI/ML delivery frameworks, including model deployment, operational monitoring, performance degradation management, and retraining processes.
  • Experience operating within highly regulated organisations, ensuring compliance with governance standards, audit expectations, and risk controls.
  • Solid knowledge of cybersecurity operations, including security monitoring, incident response practices, and detection engineering methodologies.
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