Data and AI Governance Compliance Analyst

Booking Booking · Hospitality · Bangalore, India · Engineering

This role focuses on data and AI governance compliance, translating regulations like DMA and EU AI Act into agile practices for product and tech teams. It involves operationalizing governance frameworks, monitoring compliance, managing risks, and ensuring policies are maintained and adopted, aiming to balance regulatory safety with innovation.

What you'd actually do

  1. Oversee the daily health of the various compliance dashboards. Ensure critical parameters and thresholds are monitored and actioned upon
  2. Assist with risk & control implications of digital regulations (DMA, EU AI Act, GDPR, etc.) and help translate legal requirements into clear, actionable items for engineering and product teams.
  3. Help build the compliance monitoring plan. Actively monitor controls, review key activities, and validate that business units are adhering to defined requirements and policies.
  4. Assist with the adoption of new governance tools and technologies. Create practical processes and raise awareness that make it easier for teams to be compliant than to cut corners.
  5. Assist leadership in maintaining the compliance resource library. Ensure policies are not static documents but are regularly updated to reflect new regulatory standards and industry best practices.

Skills

Required

  • Experience around Data Governance and Compliance
  • Experience in working with Data (Data Analysis, Business Analysis, Analytical background)
  • Verbal, written and interpersonal communication skills
  • Ability to apply common sense to carry out instructions and instruct others
  • Ability to write reports, correspondence and procedures
  • Ability to speak clearly with stakeholders
  • Understanding of risk management procedures
  • Ability to think through risk management problems involving multiple facets and variables in non-standardized situations, requiring non-standard solutions
  • Ability to work independently with a wide variety of stakeholders

Nice to have

  • Translate complex regulations (DMA, EU AI Act, etc.) into everyday agile practices
  • Navigate the complexities of data governance and ethical AI without slowing down development
  • Maintain the Data Catalogue and AI Registry
  • Conduct quality control reviews
  • Translate legal requirements into clear, actionable items for engineering and product teams
  • Build the compliance monitoring plan
  • Monitor controls, review key activities, and validate adherence to defined requirements and policies
  • Identify compliance risks or control deficiencies
  • Escalate material risks with recommended remediation strategies
  • Adopt new governance tools and technologies
  • Create practical processes and raise awareness
  • Simplify compliance concepts for non-technical stakeholders
  • Ideate and embed automated compliance checkpoints into agile processes
  • Maintain the compliance resource library
  • Update policies to reflect new regulatory standards and industry best practices
  • Assist with the remediation process
  • Log, track, and monitor deficiencies until fully remediated
  • Work with other BU and second line risk teams
  • Prepare data artifacts and evidence for internal and external audits

What the JD emphasized

  • regulatory safety
  • ethical AI
  • Data & AI Governance
  • Data Catalogue and AI Registry
  • regulatory and internal policies
  • Data & AI Governance Compliance Operations
  • Regulatory Compliance & Monitoring
  • Adoption, Culture & Change Management
  • Policy Maintenance & Reporting
  • Data Governance and Compliance