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EXL

Analyzes business data and runs outsourced operations

Head of Responsible AI Vice President

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeDublin, Ireland

About the Job

Requirements

  • At least 15 years of total professional experience in technical, legal, or risk leadership, including at least 5 years of dedicated experience in AI/ML governance, security, or ethics.
  • Ability to discuss Transformer architectures and vector databases with engineers and liability and indemnification with the Legal team.
  • Deep familiarity with the NIST AI Risk Management Framework, ISO 42001, and the EU AI Act.
  • Proven experience building a Governance-as-a-Service model in a global, highly regulated, or client-servicing enterprise.
  • Bachelor's degree in Computer Science, Data Science, or Law/Ethics with a technical focus.
  • Must already be eligible to work in the Republic of Ireland.
  • Expert knowledge of global regulatory frameworks, including NIST AI Risk Management Framework, ISO 42001, and the EU AI Act, and ability to lead technical trust audits and demonstrate AI safety and ethics to clients during RFP and contracting processes.
  • Hands-on expertise in LLMOps, privacy-by-design, prompt-injection defense, model-inversion defense, data-poisoning defense, and confidential-computing principles.
  • Mastery of generative AI and large language model risk frameworks and guardrail tools such as NeMo and LlamaGuard, including governance of agentic AI systems that take autonomous actions such as API calls and transaction execution.
  • Ability to integrate AI/ML validation into MLOps and DevSecOps workflows and create and manage an AI Bill of Materials covering datasets, model weights, and third-party libraries.
  • Ability to balance business speed-to-market with safe-to-market requirements through data-grounded decision-making and cross-boundary collaboration.

Responsibilities

  • Define a three-year Responsible and Secure AI maturity roadmap aligned with client commitments and global regulations.
  • Lead the AI Governance Committee with the General Counsel and Chief Information Officer to establish unified AI approval and deployment decisions.
  • Serve as the lead spokesperson on AI trust for clients, regulators, and industry forums.
  • Establish and maintain the authoritative record of AI assets, including model registries, lineage, and audit trails.
  • Oversee AI red-teaming and stress testing to defend against prompt injection, model extraction, and data poisoning.
  • Partner with the Chief Information Officer to embed security in LLMOps and DevSecOps pipelines and apply secure-by-design principles to agentic and autonomous systems.
  • Ensure retrieval-augmented generation and fine-tuning workflows prevent personally identifiable information leakage and cross-contamination of client data.
  • Implement discovery and governance protocols to identify and secure unauthorized AI use across business units.
  • Ensure compliance with the EU AI Act, NIST AI Risk Management Framework, ISO 42001, and evolving U.S. state laws such as the Colorado AI Act.
  • Mandate bias-detection and mitigation protocols so AI-driven business decisions are equitable and transparent.
  • Define and enforce human-in-the-loop requirements for high-stakes operational tasks to prevent autonomous drift or hallucination-related harm.
  • Support the Growth Office in high-value client negotiations by explaining how client data is protected within the AI ecosystem.
  • Partner with business units to enable responsible AI in client workflows while ensuring automation follows risk guardrails.
  • Lead vetting of foundation-model providers and open-source AI libraries against security and ethical benchmarks.
  • Work with Architecture, Engineering, Data Platforms, and Solutions teams to ensure AI systems use secure, compliant, scalable, and governed platforms.
  • Align AI deployment with cloud, data governance, and platform modernization strategies.
  • Oversee adherence to Responsible AI policies through periodic audits, monitoring dashboards, and compliance reviews.
  • Ensure readiness for internal and external assessments, including client-driven AI governance evaluations.
  • Lead enterprise-wide awareness and training to develop responsible AI use and risk-sensitive innovation.
  • Build and mentor a team of AI governance leads, risk specialists, AI ethicists, and security experts.

Desired Qualifications

  • An advanced degree (MS, PhD, or JD).
  • Industry certifications in AI ethics, security, governance, risk, or compliance.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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