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.
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).
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

Solid 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 PARTNER CONSULTANT - Identity Management (LCM/RBAC) (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru