Head of Information Architecture & Data Platforms

About the Team

Information Architecture and Data Platforms are key pillars within T. Rowe Price’s Chief Data Office (CDO), part of the Chief Operating Office (COO). The teams play a critical role in ensuring data is structured, governed, and aligned with business objectives, enabling seamless integration across systems and platforms. Key responsibilities include establishing data domain models and ensuring consistency across business units, as well as enabling high-integrity data through strategic enterprise data and analytics capabilities. Working collaboratively with Enterprise Architecture and Business Architecture, the teams drive the enforcement of architecture governance, safeguard data integrity, regulatory compliance, and interoperability, supporting strategic decision-making and innovation.

Role Summary

The Head of Information Architecture & Data Platforms reports directly to the Chief Data Officer and is pivotal for designing, creating, deploying, and managing the organization's information architecture and data platforms. This role is responsible for defining and overseeing the enterprise information architecture strategy and data platform strategy, ensuring that data is structured, governed, and leveraged effectively to support business and technology objectives aligned to our overarching enterprise data strategy. The role also involves ensuring scalable, secure, and efficient data access, with a strong emphasis on enhancing capabilities and driving adoption.

As a voting member of the Architecture Review Board (ARB), the Head of Information Architecture & Data Platforms has a crucial role in reviewing and approving domain data models, ensuring they align with enterprise standards and business needs. They are personally accountable for establishing and enforcing a data/information architecture governance process that integrates closely with data governance, working alongside business and technology stakeholders to drive consistency, compliance, and interoperability across the enterprise. Through this leadership, the role ensures that data assets are well-managed, secure, and optimized to enable operational efficiency, regulatory adherence, and strategic innovation.

Impact

The Head of Information Architecture & Data Platforms serves as the connective tissue between Enterprise Architecture and data-related strategic business initiatives and programs. As the authority on data modeling and data architecture governance, this role establishes and enforces standards that drive consistency, interoperability, and compliance across the organization. By integrating closely with data governance and key stakeholders, this role ensures data is structured, accessible, and secure, enabling more effective decision-making, innovation, and operational efficiency. Their leadership in approving domain data models and enforcing governance processes is critical to maintaining a scalable, future-proof data foundation that supports both current and emerging enterprise needs.

Responsibilities

• Define and implement enterprise-wide information architecture and data platform strategy to align with business and technology objectives.
• Ensure data/information architecture supports scalability, interoperability, and business agility.
• Establish and enforce an Information Architecture Governance Process, integrating with enterprise data governance frameworks.
• Ensure compliance with industry regulations (e.g., GDPR, CCPA) and internal data policies.
• Serve as a voting member of the ARB, representing CDO.
• Review and approve domain data models to maintain consistency and standardization across business units.
• Act as the authority on data modeling, defining enterprise data standards, taxonomies, and ontologies.
• Ensure integration between structured and unstructured data, supporting analytics, AI, and digital transformation initiatives.
• Act as the connective tissue for Enterprise Architecture in data transformation programs, ensuring alignment between business needs, technology investments, and data capabilities.
• Drive modernization efforts such as data mesh, cloud-based architectures, and API-driven data integrations.
• Work closely with business, technology, and data governance teams to implement architecture principles effectively.
• Advocate for best practices in data management, quality, security, and accessibility across the enterprise.
• Guide the selection and adoption of enterprise-wide data architecture tools, metadata management platforms, and modeling frameworks.
• Ensure that data platforms and technologies support real-time data processing, analytics, and AI-driven decision-making.
• Strategy Development: Define and implement the strategy and roadmaps for the organization's data platforms