Job Summary

This role focuses on delivering secure artificial intelligence solutions for global clients by integrating analytics driven controls into Service Now based platforms in a hybrid work model. The AI Security Delivery Lead manages complex projects aligns with business stakeholders ensures regulatory compliant implementations and drives measurable risk reduction across enterprise ecosystems.

Responsibilities

- Lead AI security delivery initiatives that integrate Service Now platforms with analytics driven risk controls to ensure secure and compliant enterprise solutions for global clients.
- Oversee end to end planning of AI security projects by defining scope schedules resources and quality measures that enable predictable delivery outcomes in a hybrid work model.
- Provide guidance on secure design patterns for AI workflows within Service Now to reduce exposure to data misuse model abuse and unauthorized access across the ecosystem.
- Coordinate cross functional teams including architects engineers and analysts to align AI security controls with analytics insights and business priorities in day to day operations.
- Establish standardized delivery processes for AI security implementations that leverage analytics to monitor effectiveness and continuously reduce operational risk.
- Drive alignment between client security policies and AI solution architectures by translating regulatory expectations into actionable design and configuration tasks.
- Review technical configurations for Service Now AI and automation components to confirm adherence to security baselines encryption standards access policies and segregation of duties.




- Collaborate with analytics specialists to design dashboards and reports that provide actionable visibility into AI risk indicators incident trends and control performance.
- Mentor project team members on AI security principles secure analytics practices and Service Now governance to uplift overall delivery maturity and capability.
- Engage with client stakeholders during workshops and status reviews to explain AI security risks residual exposures and mitigation strategies in clear and practical terms.
- Monitor production environments to validate that AI enabled workflows in Service Now operate within agreed risk tolerances and trigger timely remediation when anomalies arise.
- Document detailed runbooks playbooks and operating procedures that describe how AI security controls and analytics checks should be executed and maintained over the lifecycle of the solution.
- Coordinate with internal risk and compliance teams to ensure that AI security delivery outcomes support audit readiness evidence collection and adherence to industry frameworks.
- Optimize delivery efficiency by using analytics to identify process bottlenecks recurring defects and control weaknesses and by implementing targeted improvement actions.
- Align project metrics such as defect density incident volume and resolution time with company objectives to demonstrate the tangible value of secure AI delivery for clients and society.

Qualifications





- Require extensive experience in AI security delivery for large enterprises with a proven background in translating complex security requirements into implementable project tasks.
- Require strong hands on exposure to Service Now modules workflows and integrations with a focus on configuring secure access models data protections and automation safeguards.
- Require practical experience in analytics including building or consuming dashboards metrics and data models to monitor risk performance and operational health of AI solutions.
- Require prior involvement in designing or reviewing secure architectures for AI or machine learning solutions that handle sensitive or regulated data within enterprise environments.
- Require excellent stakeholder management skills to coordinate with client teams internal delivery groups and security specialists while maintaining explicit and consistent communication.
- Nice to have familiarity with industry security frameworks and standards such as ISO NIST or similar guidelines that influence AI security and analytics governance.
- Nice to have exposure to cloud platforms and their security services so that AI and analytics solutions integrated with Service Now can operate securely across hybrid environments.
- Nice to have experience with automation scripting or orchestration within Service Now to embed security guardrails and analytics checks directly into operational workflows.
- Nice to have experience working in hybrid work models while supporting distributed teams across time zones and maintaining high quality delivery standards.

Certifications Required

Preferred certifications include Certified Inform

📌 Service Now Alliances Lead, Associate Director. (Brisbane City)
🏢 Cognizant
📍 Brisbane City