Posted: 18 June
The role
We are seeking an experience project manager to drive the delivery of AI-driven cybersecurity solutions that improve detection, response, and risk management for a major financial services organisation in London.
Key Responsibilities Include:
End-to-End Delivery
- Manage delivery plans, milestones, dependencies, and risks across multiple initiatives.
- Lead Agile or hybrid delivery processes with clear progress reporting.
- Translate security priorities into actionable backlogs and phased releases.
AI Cyber Use Cases
- Support security operations through alert triage, enrichment, and prioritisation.
- Enable advanced threat detection (e.g., anomaly detection, behavioural patterns, phishing/malware analysis).
- Enhance vulnerability and identity management using risk-based insights.
- Deliver GenAI-enabled capabilities such as analyst support tools and automated investigation summaries, with appropriate safeguards.
Data & Engineering Alignment
- Coordinate with engineering and data teams to ensure robust data pipelines, access controls, and quality.
- Support secure deployment of models and ongoing monitoring for performance and drift.
Risk & Responsible AI
- Ensure adherence to security, privacy, and regulatory standards.
- Maintain required documentation (e.g., model validation, risk assessments, audit trails).
- Implement safeguards for AI use, including data protection, monitoring, and human oversight.
Stakeholder & Governance Management
- Establish governance structures, reporting routines, and escalation paths.
- Communicate outcomes, risks, and progress clearly to senior stakeholders.
- Oversee third-party contributions where applicable.
Value Delivery & Adoption
- Define and track success metrics (e.g., detection speed, accuracy, efficiency gains).
- Enable operational readiness through training, documentation, and handover.
- Continuously improve solutions based on performance data and user feedback.
Required Skills
- Proven experience delivering complex cyber and/or AI initiatives at scale.
- Strong understanding of security operations and controls.
- Knowledge of AI/ML lifecycle and model deployment practices.
- Experience working within regulated environments.
- Strong stakeholder engagement and influencing skills.
Desirable Skills
- Familiarity with security platforms and telemetry data.
- Understanding of threat modelling and secure AI practices.
- Experience delivering enterprise GenAI solutions with controls.
- Exposure to cloud security and data governance.
