Manager, Data Governance

DP WorldCharlotte, NC
1dHybrid

About The Position

We are the leading provider of worldwide smart end-to-end supply chain & logistics, enabling the flow of trade across the globe. Our comprehensive range of products and services covers every link of the integrated supply chain – from maritime and inland terminals to marine services and industrial parks as well as technology-driven customer solutions. We 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.

Requirements

  • 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.)
  • 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.

Nice To Haves

  • 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

Responsibilities

  • AI-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
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