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Key Responsibilities
Product & Delivery Leadership
- Own the roadmap for AI-enabled onboarding (intake → recommendation → approvals → provisioning → audit evidence).
- Translate onboarding pain points into prioritised use cases, user stories, and measurable outcomes.
- Run delivery cadence across IAM ops, engineering, and data science teams; manage RAID and dependencies.
AI-Enabled Onboarding Capabilities
- Deliver capabilities such as:
- Access/role recommendations based on joiner attributes and peer patterns (least privilege by default).
- Intelligent request intake (free text to structured entitlements) with missing-info prompts.
- Automated SoD/policy pre-checks and exception workflows.
- Approval routing optimisation and onboarding “copilot” for service desk/IAM ops.
- Define confidence thresholds and human-in-the-loop decision points.
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Data, Integration & Operating Model
- Coordinate data sourcing and quality across HR feeds, IAM catalogue, historical requests, org hierarchy, and ticketing/workflow tools.
- Partner with engineering to integrate into IAM workflows (e.g., ServiceNow/IGA tooling), ensuring secure APIs, logging, and resiliency.
- Define BAU support model, runbooks, and training for IAM ops and approvers.
Risk, Controls & Responsible AI
- Ensure alignment with privacy, information security, and model risk management expectations.
- Drive auditability: decision rationale, approvals, model outputs, and change history.
- Implement guardrails for GenAI where used (data leakage prevention, prompt controls, content filtering, monitoring).
- Define monitoring for model performance and control effectiveness (drift, override rates, exception volumes).
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Value Realisation
- Define and track KPIs: onboarding cycle time, rework rate, access errors, SoD conflicts prevented, approver turnaround time.
- Drive adoption through stakeholder engagement, communications, and continuous improvement.
Required Skills / Experience
- Strong delivery leadership (product/programme/project) in IAM, cyber security, or enterprise workflow automation.
- Solid understanding of IDAM/IGA concepts: joiner/mover/leaver, RBAC, least privilege, approvals, SoD, audit evidence.
- Working knowledge of AI/ML and/or GenAI delivery lifecycle (requirements → build → deploy → monitor).
- Experience operating in regulated environments with governance, risk, and control requirements.
- Excellent stakeholder management across security, operations, technology, and risk.
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Skills
IDAM
IGA
AI/ML
GenAI
Product Leadership
RBAC
Least Privilege
Stakeholder Management
Cyber Security
Enterprise Workflow Automation
Risk Management
Governance
ServiceNow
API Integration
Audit Evidence
SoD