Assistant Manager - AI / ML + Risk Assessment

5 - 8 years

17 - 20 Lacs

bengaluru mumbai (all areas)

Posted:10 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Translate regulation into change we can execute.

    Parse legislative texts and regulatory guidance into clear policies, process changes, and control requirements; baseline the asis,” define “tobe,” and create a measurable roadmap to adoption.
  • Experience in

    Legal/Compliance programmes

    , especially

    AIrelated legislation

    (e.g., EU AI Act, ISO42001,GDPR, risk assessments & classification).
  • Experience with AI Governance & AI Audit planning.
  • Familiarity with AI ML technologies including the Gen AI, Agentic AI and MCP Architectures.
  • Develop and maintain AI governance frameworks aligned with global standards (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001).
  • Know how to evaluate compliance with internal AI policies, ethical guidelines, and legal obligations.
  • Knowledge of security, privacy, and risk frameworks (e.g., NIST AI RMF, ISO standards) and how they integrate with business performance management.
  • Conduct independent audits of AI systems, models, and data pipelines.
  • Evaluate model documentation, explainability, fairness, robustness, and accountability.
  • Map to the Performance Framework.

  • Drive seniorlevel alignment.

    Orchestrate VP/Directorlevel forums, surface tradeoffs with evidence, and

    navigate conflicting priorities

    to secure decisions and sponsorship.
  • Accelerate delivery with tight turnarounds.

    Structure work to deliver value quickly (problem framing options recommendation), holding teams to timelines and removing blockers.
  • Design controls & measures.

    Codefine minimum viable controls, leading indicators, and lag KPIs; integrate into scorecards and governance rhythms (PDCA / check & challenge).
  • Own the AI requirements lifecycle.

    Elicit, document, and manage requirements of client towards AI
  • Partner across Legal, Risk & Tech.

    Work closely with Legal (interpretation), IRM/Cyber (controls), Security & Privacy (assurance), Data/AI teams (usecase impact), and Ops (implementation).
  • Communicate clearly.

    Create concise exec briefs, decision logs, and stakeholder updates; ensure “one source of truth” in the tooling (e.g., ALM/ADO/Jira, GRC/ServiceNow).
  • Embed adoption.

    Support training, communications, and rolebased guidance; define acceptance criteria and readiness checks; support audits and attestations.

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KPMG Assurance and Consulting Services LLP

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