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A.I. Governance Manager

Lockton Companies

London

On-site

GBP 70,000 - 100,000

Full time

4 days ago
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Job summary

Lockton Companies is seeking an AI Governance Manager to oversee the implementation and management of AI technologies responsibly. The role involves establishing governance frameworks, ensuring compliance with regulations, and fostering ethical AI practices. Ideal candidates will have extensive experience in AI governance and an understanding of related regulatory frameworks, including GDPR and the EU AI Act.

Qualifications

  • Significant experience in AI governance, data privacy, compliance, or related areas.
  • Deep understanding of AI and data privacy regulations such as GDPR and EU AI Act.
  • Proven ability to manage risks related to algorithmic fairness and security.

Responsibilities

  • Create and maintain AI governance frameworks and relevant policies.
  • Perform due diligence on AI tools for compliance.
  • Identify and assess potential risks related to AI models and develop strategies.

Skills

AI governance
Compliance
Risk management
Data privacy
Stakeholder management
Attention to detail

Education

Experience in AI governance or related fields

Job description

The AI Governance Manager will play a pivotal role in shaping and nurturing our organization's approach to responsible AI innovation. This position champions the integration of ethical standards and transparent practices into our AI solutions, guiding collaborative efforts to ensure alignment with regulatory guidelines and fostering trust both internally and externally. As a key advocate for thoughtful AI deployment, the AI Governance Manager will empower teams through education, risk assessment, and proactive governance strategies, contributing to a future where AI technologies enrich lives responsibly.

The role’s primary objective is to create and maintain a structured approach to implementing and managing AI technologies within the Lockton Group, balancing innovation with ethical responsibility, compliance, and risk management. This involves establishing and enforcing governance frameworks, ensuring compliance with global legal and regulatory standards, mitigating risks such as bias, and promoting transparency and accountability in AI decision-making processes.

Key Tasks and Responsibilities

  • Partner with business and technology owners on new AI capabilities as they move from “lab” to “production”.
  • Create, maintain, and support the implementation of Group-wide AI governance frameworks and, alongside the Legal, Risk, Compliance, and Corporate Secretary teams, relevant policies and procedures.
  • Perform due diligence on AI tools or systems (whether owned or provided by third-party vendors) to ensure compliance with local, national, and international regulations and industry standards.
  • Identify and assess potential risks related to AI models, including biases, fairness, inaccuracies, intellectual property, and ethical concerns.
  • Develop strategies to address AI-related risks.
  • Partner with internal Information Security to ensure AI system security, safeguards against data breaches, adversarial attacks, and misuse.
  • Work with stakeholders to align AI strategies and governance practices with broader organizational objectives.
  • Engage with regulators, policymakers, and industry bodies to stay informed about AI regulations and standards.
  • Assist with onboarding and maintaining third-party vendors to ensure compliance with AI legal and regulatory requirements.
  • Advise on data management policies and standards for AI systems.
  • Develop and deliver training on ethical AI use and governance.
  • Prepare management reports on AI governance activities.
  • Bring significant experience in AI governance, data privacy, compliance, or related areas, with a strong understanding of AI technologies and regulatory frameworks.
  • Experience working across functions and influencing stakeholders at various levels in a global organization.
  • Deep understanding of AI and data privacy/security regulations such as US state-specific AI rules, OECD AI Principles, EU AI Act, GDPR, HIPAA, and industry-specific standards.
  • Proven ability to manage risks like algorithmic bias, data privacy issues, and model vulnerabilities.
  • Experience in developing governance frameworks for AI ensuring compliance, security, and risk management.
  • Strong attention to detail and a commitment to responsible AI deployment.
  • Proactive approach, anticipating challenges and proposing solutions.
  • High integrity and dedication to ethical standards in AI development.
  • Adaptability to changing environments.
  • Effective relationship-building skills and stakeholder management.
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