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12 дней назад

Senior Data and AI Governance Analyst (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
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
Senior Data and AI Governance Analyst (AI): Building and operating data governance, AI governance, and DLP programs for an AI-powered revenue platform with an accent on data classification, responsible AI, privacy-by-design, and protection of customer data. Focus on designing governance frameworks, managing AI system inventories and risk-based approvals, and investigating complex DLP alerts and data handling incidents.

Location: Hybrid in Guadalajara, Mexico; candidates must be based in Guadalajara and be able to work onsite in the Guadalajara office as needed.

Company

hirify.global is building a Predictive Revenue System where humans and AI use Revenue Context to support confident revenue decisions.

What you will do

  • Lead the design, implementation, and operation of the data governance program, including data classification, handling standards, lifecycle policies, retention schedules, inventories, and data mapping.
  • Build and operate the AI governance program, including AI policies, standards, system and model inventories, vendor-tool inventories, and risk-based intake and approval for new AI use cases.
  • Configure, monitor, and tune DLP tooling and controls; investigate and remediate complex or high-risk DLP alerts and data handling incidents.
  • Partner with Product, Engineering, Security, Sales, and Customer Success to embed privacy-by-design and responsible AI into product development.
  • Lead risk assessments and translate data handling, AI risk, and regulatory requirements into guidance for technical and executive audiences.
  • Mentor junior team members and manage multiple governance workstreams and senior internal and external partnerships.

Requirements

  • 5+ years of experience in data governance, AI governance, DLP, information security, or related compliance work; 3+ years may qualify with a Master’s degree or equivalent work experience.
  • Independent ownership of data governance frameworks, including data inventories, data mapping, records of processing, retention schedules, and data classification.
  • Hands-on experience with DLP tools and data classification or labeling technologies such as Microsoft Purview, Symantec/Broadcom DLP, Netskope, Forcepoint, or similar.
  • Experience independently investigating and remediating complex DLP alerts and data handling incidents.
  • Working knowledge of AI governance, responsible AI practices, AI risk assessments, AI system and model inventories, model documentation, human oversight controls, and data flows through AI and machine learning systems.
  • Familiarity with NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
  • Strong working knowledge of GDPR, CCPA/CPRA, and other major privacy regulations, plus privacy-by-design and data minimization principles.
  • Experience influencing Product, Engineering, and Security leadership; managing multiple workstreams, mentoring others, negotiating with partners, and communicating complex requirements to technical and executive audiences.

Nice to have

  • ISO 27001 and ISO 42001 experience.
  • Experience leading data protection impact assessments or privacy impact assessments for products, features, and third-party relationships.
  • Experience responding to complex customer data governance, AI governance, and security questionnaires and due diligence requests.

Culture & Benefits

  • Collaborative Governance, Risk, and Compliance team focused on earning and maintaining customer trust.
  • Culture emphasizing intellectual curiosity, bias toward action, collaboration, and doing the right thing for customers, employees, and the business.
  • Competitive benefits program supporting physical, mental, and financial well-being.
  • Inclusive and supportive workplace focused on culture add and equal employment opportunity.
  • AI tools may support parts of the hiring process; candidates may request more information or opt out without affecting consideration.

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