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1 день назад

AI Governance Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

AI Governance Lead (AI): Define and strengthen governance practices across the entire AI lifecycle, ensuring ethical, compliant, and performant predictive and generative models with an accent on establishing ethical & regulatory frameworks and managing "Data for AI" assets. Focus on defining and enforcing standards for AI model development, deployment, and monitoring, and mitigating risks related to model drift, security, and algorithmic bias.

Location: Onsite in Manchester, United Kingdom

Company

hirify.global is a company delivering AI solutions for business travel, fostering an inclusive and collaborative culture.

What you will do

  • Define and enforce standards for AI model development, deployment, and monitoring, ensuring clear ownership and accountability.
  • Develop a robust AI governance framework addressing algorithmic bias, transparency, and compliance with emerging regulations.
  • Oversee governance of training datasets, ensuring high-quality lineage and labeling standards.
  • Proactively audit model performance, bias detection, and AI governance maturity, providing actionable insights.
  • Design and implement training programs to advance AI ethics and responsible innovation across the organization.

Requirements

  • Education: Bachelor’s or higher degree in Data Science, Information Management, Computer Science, Law & Technology, or a related field.
  • Experience: 5+ years of experience designing and implementing governance frameworks, with at least 2 years specifically focused on AI/ML governance or AI risk management.
  • Experience with AI governance and observability platforms.
  • Proven track record in developing AI governance practices, including Model Cards and Algorithmic Impact Assessments.
  • Excellent communication skills to bridge the gap between AI researchers and Legal/Compliance teams.
  • Track record of identifying and mitigating risks, specifically regarding LLM security and data privacy in AI training.
  • Understanding of cloud-native AI stacks (AWS SageMaker, Azure AI, or Google Vertex AI).

Nice to have

  • Experience in travel, transportation, or enterprise technology sectors.
  • Deep understanding of the Generative AI lifecycle, including fine-tuning governance and vector database management.
  • Professional certifications such as CIPP/AI or similar.
  • Travel industry experience beneficial.

Culture & Benefits

  • Flexible benefits tailored to each country, starting on day one.
  • Access to travel perks with deals from major travel providers.
  • Opportunities to develop skills with access to over 20,000 courses and internal job openings.
  • An inclusive culture with global Inclusion Groups.

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