We are seeking a strategic and hands-on Director of Enterprise Data & Digital Platform Architecture to define and lead the architecture vision for next-generation data, analytics, and AI-driven platforms supporting healthcare and life sciences solutions. This leader will be responsible for designing scalable, cloud-native, interoperable, and compliant platforms that enable trusted data foundations, advanced analytics, digital workflows, and emerging AI capabilities.

The ideal candidate combines deep expertise in cloud and data architectures with strong business acumen and the ability to lead large-scale modernization initiatives. They will partner closely with product, engineering, data, business, and compliance stakeholders to establish architectural standards, guide investment decisions, and create reusable platform capabilities that accelerate innovation across a diverse portfolio of products and services.

This role is critical to advancing enterprise-wide digital transformation initiatives, enabling data-driven decision making, AI adoption, interoperability, and future-ready platform capabilities while maintaining the highest standards of security, governance, and regulatory compliance.

Job Overview

This role will define and drive architectural strategy across data, cloud, AI/ML, integration, and platform domains, with a strong focus on:

• Enterprise-scale data platforms and data products
• Cloud-native architecture and platform modernization
• AI/ML and agentic application enablement
• Metadata, semantic and ontology-driven architectures
• Data interoperability and standards-based integration
• Governance, security, privacy, and regulatory compliance
• Reusable services, APIs, and platform capabilities

The Director will lead architectural planning and technology roadmaps that support scalable, reusable, and future-ready digital ecosystems. The role requires collaboration across multiple product and engineering teams to ensure solutions align with enterprise architecture standards and strategic business objectives.

Essential Functions

Architecture Strategy & Technology Roadmap: Develop and maintain the long-term architecture vision, reference architectures, and technology roadmaps that support data, analytics, AI, and digital platform initiatives across the organization.

Enterprise Data Architecture: Define scalable data architecture patterns including data products, master data management, metadata management, semantic layers, ontology frameworks, and governed data foundations that enable enterprise-wide data reuse and interoperability.

AI & Intelligent Platform Enablement: Establish architectural patterns that support AI/ML, generative AI, agentic workflows, knowledge services, and advanced analytics while ensuring governance, traceability, and regulatory compliance.

Platform Modernization: Lead modernization efforts utilizing cloud-native technologies, event-driven architectures, microservices, APIs, and modern data platforms such as Azure, Snowflake, Databricks, and emerging cloud services.

Interoperability & Integration: Drive standards-based integration strategies leveraging healthcare and industry standards such as FHIR, HL7, CDISC, APIs, and event-driven frameworks to enable seamless data exchange across internal and external ecosystems.

Design Governance & Architecture Standards: Establish architecture principles, design review processes, technology standards, reusable patterns, and architectural guardrails that promote consistency, security, and scalability across products and platforms.

Strategic Program Leadership: Provide architectural leadership across major transformation programs and strategic investments, ensuring alignment with enterprise priorities and long-term technology strategy.

Emerging Technologies & Innovation: Evaluate emerging technologies and industry trends in AI, data management, digital health, interoperability, cloud computing, and platform engineering; recommend adoption strategies where appropriate.

Organizational Leadership & Mentoring: Mentor architects and senior engineers, fostering a culture of technical excellence, innovation, collaboration, and continuous learning.

Qualifications

• Bachelor's degree in computer science, Engineering, Information Systems, or related discipline (Master's preferred)
• 12+ years of experience in architecture, engineering leadership, or enterprise technology roles, including leadership of large-scale platform or digital transformation initiatives
• Proven experience designing and governing enterprise-scale cloud and data architectures
• Deep expertise in cloud platforms like AWS, Azure, Snowflake, Databricks, Kubernetes, API-first architectures, event-driven platforms, and modern integration patterns
• Strong knowledge of data management disciplines including data governance, metadata management, master data management, semantic models, and data products
• Experience architecting AI/ML, advanced analytics, or intelligent automation solutions in regulated environments
• Strong understanding of life sciences, healthcare, or other regulated industries, including standards such as HIPAA, GxP, 21 CFR Part 11, FHIR, HL7, and CDISC
• Demonstrated success leading enterprise modernization, cloud migration, or platform transformation programs
• Excellent communication, executive presence, and stakeholder management skills
• Ability to influence strategic decisions and drive alignment across business, product, engineering, and technology organizations

The potential base pay range for this role, when annualized, is $119,900.00 - $334,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.