Managing Director, Data Governance & Architecture

The Managing Director, Data Governance & Architecture leads Plymouth Rock’s enterprise data governance framework and architectural standards to ensure data is trusted, secure, well-classified, and accessible for consumption across Business Intelligence, Machine Learning, and AI applications.

 

This role is responsible for defining and operationalizing how data is classified, governed, accessed, and distributed across the enterprise, enabling data to be safely consumed at scale by both people and machines. The leader will establish the policies, tools, and processes required to manage data as a strategic asset while supporting the company’s transition to an AI/ML-driven operating model.

 

Partnering closely with Data Product & Engineering, Data Services and business leaders, this role ensures that data is fit for purpose, compliant, and reusable, and that governance frameworks enable—rather than constrain—speed, innovation, and value delivery.

 

Key Responsibilities

1. Enterprise Data Governance Strategy

• Define and implement a comprehensive data governance framework aligned to Plymouth Rock’s AI/ML-first data strategy.
• Establish enterprise standards for data classification, lineage, quality, retention, and access, ensuring data is managed as a controlled and auditable asset.
• Develop governance policies that support scalable consumption across Business Intelligence and AI/ML use cases, balancing control with speed and flexibility.
• Promote a culture where data is treated as a strategic asset and company resource, with clear accountability for its quality and use.

1. Data Classification, Tagging, and Lineage

• Design and deploy enterprise-wide data classification standards, including the tagging of sensitive data and alignment to permitted use cases and personas.
• Implement metadata management and data catalog capabilities that provide transparency into data origin, transformation, and usage.
• Ensure that all data products are properly classified, documented, and discoverable across the enterprise.
• Establish and enforce lineage tracking to enable traceability from source systems through downstream consumption.

1. Access Control, Security, and Responsible Data Use

• Define and enforce policies governing data access, consumption, and distribution across all platforms, including structured data warehouses, data lakes, and AI data services.
• Implement role-based and use-case-based access controls to ensure sensitive data is only available to authorized users and systems.
• Ensure governance frameworks support responsible AI usage, including controls around data privacy, bias, and regulatory compliance.
• Partner with Legal, Compliance, and Risk teams to maintain adherence to all applicable regulatory requirements.

1. Governance Enablement Across Data Services

• Establish governance processes and controls tailored to the three primary data consumption patterns:

• Business Intelligence (reporting and analytics)
• Machine Learning (model training, feature engineering, and scoring)
• AI / Agentic systems (retrieval, reasoning, and interaction)

• Ensure that governance standards are consistently applied across all environments while accommodating the differing requirements of deterministic and probabilistic workloads.
• Enable secure and scalable data access for AI and ML systems without introducing bottlenecks to development or deployment speed.

1. Third-Party Data Acquisition and Management

• Lead the enterprise capability for sourcing, contracting, and integrating third-party data with particular oversight and policy consistency for external data exchange relationships.
• Establish standards for evaluating, onboarding, and governing external data sources to ensure quality, compliance, and reusability.
• Manage relationships with key data vendors (e.g., LexisNexis, TransUnion, and others), ensuring contractual enforcement and effective data utilization.
• Ensure third-party data is integrated into enterprise data products and made broadly accessible consistent with governance policy and contract terms.

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