Happiest Minds Technologies - Partner Consultant - Identity Management

Key Responsibilities :

Product & delivery leadership :

- Own the roadmap for AI-enabled onboarding.

- 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 :

1. Access/role recommendations based on joiner attributes and peer patterns (least privilege by default).

2. Intelligent request intake (free text to structured entitlements) with missing-info prompts.

3. Automated SoD/policy pre-checks and exception workflows.

4. 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 :

- 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.

- Experience operating in regulated environments with governance, risk, and control requirements.

- Excellent stakeholder management across security, operations, technology, and risk.