Senior Manager, GenAI Governance & Security

Posted 7 Days Ago
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Gurugram, Haryana, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Leads security governance for enterprise GenAI initiatives, designing guardrails against prompt injection, jailbreaks, and PII leakage. Develops compliance strategies aligned with privacy policies and global regulations, leads LLM and RAG red-team assessments, and builds monitoring dashboards for hallucination, toxicity, and bias. Serves as the primary liaison between AI engineering and legal/compliance teams.
Summary Generated by Built In

Role Overview: Define and operationalize the security posture and governance framework for all
GenAI initiatives. Act as the primary liaison between AI engineering and legal/compliance teams.

Responsibilities

Key Responsibilities

  • Guardrail Architecture: Design and implement systemic safeguards (e.g., NeMo Guardrails,
    Llama Guard) to prevent prompt injection, jailbreaks, and PII leakage.
  • Compliance Strategy: Align AI deployments with internal data privacy policies and emerging
    global regulations (e.g., EU AI Act, GDPR).
  • Risk Assessment: Lead red-teaming exercises and vulnerability assessments on enterprise
    LLMs and RAG systems.
  • Monitoring Systems: Establish comprehensive observability dashboards to track hallucination
    rates, toxicity, and bias in production models.
Qualifications
  • Tech Stack: Security testing tools, SIEM integrations, Python for automation, LLM observability
    platforms (e.g., LangSmith, Arize).
  • GenAI Skills: Deep knowledge of LLM vulnerabilities (OWASP Top 10 for LLMs), guardrail
    frameworks, and data sanitization techniques.
  • Soft Skills: Risk mitigation mindset, strong authoritative communication, ability to balance
    innovation with compliance.
  • Qualifications: Bachelor’s/Master’s in Cybersecurity, CS, or IT; 4–7 years in InfoSec, Data
    Governance, or AI Ethics roles.

Skills Required

  • Bachelor's or master's degree in Cybersecurity, Computer Science, or Information Technology
  • 4-7 years of experience in information security, data governance, or AI ethics
  • Experience with security testing tools and SIEM integrations
  • Python experience for automation
  • Experience with LLM observability platforms such as LangSmith or Arize
  • Deep knowledge of LLM vulnerabilities, including the OWASP Top 10 for LLMs
  • Knowledge of guardrail frameworks and data sanitization techniques
  • Experience aligning AI deployments with data privacy policies and regulations such as the EU AI Act and GDPR
  • Experience leading red-team exercises and vulnerability assessments for enterprise LLMs and RAG systems

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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