Job DescriptionWe are seeking a strategic and execution-oriented
Manager, Data Governance to support the definition and implementation of data governance initiatives with a strong focus on enabling AI, machine learning, and advanced analytics capabilities. This role will ensure that data is trusted, compliant, well-managed, and AI-ready across the organization.
The ideal candidate combines strong governance foundations with practical experience supporting AI use cases, responsible AI frameworks, and data lifecycle management in complex environments.
KEY ACCOUNTABILITIESAI-READY DATA GOVERNANCE STRATEGY
- Support the definition and implementation of data governance framework aligned to AI and advanced analytics initiatives
- Help standards for high-quality, well-documented, ethically sourced data suitable for AI model training and deployment
- Partner with AI/ML teams to ensure governance requirements are embedded into model development lifecycles
RESPONSIBLE AI & RISK OVERSIGHT
- Assist in applying responsible AI guidelines, including practices related to data quality, transparency, and risk awareness
- Collaborate with Legal, Risk, Compliance, and Cybersecurity teams to ensure adherence to regulatory and ethical standards
DATA STEWARDSHIP & OWNERSHIP
- Support the definition of clear data ownership and stewardship roles across business domains within the region
- Help enable domain teams to manage their data as strategic AI assets
- Contribute to regional governance councils and working groups to help define governance rules and practices across the business
PRIVACY, SECURITY & COMPLIANCE
- Help ensure AI datasets comply with data privacy regulations and internal security standards
- Support oversight of sensitive data handling, anonymization, and usage monitoring
- Support data retention and lifecycle management policies
CHANGE MANAGEMENT & ENABLEMENT
- Drive adoption of governance practices through training, communication, and tooling
- Promote a culture of data literacy and AI accountability
- Act as a trusted advisor to senior leadership on AI data risks and opportunities
QUALIFICATIONS, EXPERIENCE AND SKILLS- Bachelor's degree in Data Management, Information Systems, Computer Science, or related field
- 7+ years of experience in data governance, data management, or enterprise data strategy
- Experience supporting AI/ML, advanced analytics, or digital transformation initiatives
- Strong understanding of data lifecycle management, metadata, lineage, and quality frameworks
- Knowledge of data privacy regulations (GDPR, CCPA, etc.)
- Experience implementing governance tools (e.g., Collibra, Alation, Informatica, Purview, etc.)
PREFERRED
- Experience with AI governance frameworks or model risk management
- Familiarity with MLOps, model monitoring, and AI audit requirements
- Understanding of structured, semi-structured, and unstructured data ecosystems
- Certifications such as CDMP, DCAM, DAMA, or AI governance credentials
Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.
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