Sr. Director, AI, Data & Architecture

Senior Director, AI, Data, and Architecture

Position Summary

The Senior Director, AI, Data, and Architecture is responsible for leading EnlivenHealth’s AI strategy, data platform direction, enterprise architecture, and technical modernization across the Product and Engineering organization.

This role serves as a senior technical leader responsible for helping EnlivenHealth responsibly apply AI to improve product capabilities, engineering productivity, analytics, automation, and customer outcomes. The Director will define practical AI patterns, data foundations, architecture standards, and modernization roadmaps that enable scalable, secure, reliable, and innovative healthcare technology solutions.

The Senior Director partners closely with Product, Engineering, Platform, Security, Cloud Operations, Quality, and business stakeholders to translate business priorities into executable AI, data, integration, and architecture plans. This role requires strong technical judgment, healthcare technology experience, and the ability to influence across teams without relying solely on direct authority.

Key Responsibilities

AI Strategy and Enablement

• Define and lead EnlivenHealth’s AI strategy across Product and Engineering.
• Identify, prioritize, and guide AI use cases that improve patient engagement, clinical workflows, financial operations, analytics, automation, and internal productivity.
• Establish AI architecture patterns, development standards, lifecycle practices, evaluation methods, and guardrails for responsible AI adoption.
• Partner with Product leaders to develop customer-facing AI capabilities that create measurable value while respecting healthcare privacy, security, explainability, and customer trust requirements.
• Partner with Engineering and Quality teams to expand AI-assisted software development, test automation, documentation, code review, knowledge management, and operational workflows.
• Track AI adoption, productivity impact, quality impact, risks, and lessons learned.
• Ensure AI initiatives align with Omnicell and EnlivenHealth policies, customer commitments, data-use obligations, and applicable regulatory expectations.

 

 

Data Platform Strategy and Governance

• Define the strategic direction for EnlivenHealth’s data platform, including data architecture, data flows, data quality, data governance, analytics enablement, and AI readiness.
• Support the development of a broader patient, pharmacy, financial, clinical, and outcomes data foundation.
• Establish practical standards for data ingestion, transformation, storage, lineage, access, quality, retention, and security.
• Partner with Security, Privacy, Legal, Compliance, Product, and Engineering stakeholders to ensure healthcare data is handled appropriately.
• Identify opportunities to consolidate data assets, reduce duplication, and create trusted data products.

 

Enterprise and Solution Architecture

• Define and maintain enterprise architecture principles, standards, decision practices, and reference patterns for EnlivenHealth platforms.
• Lead solution architecture for major product initiatives, platform modernization, integrations, AI-enabled capabilities, and data-driven services.
• Partner with Product and Engineering leaders to ensure architecture decisions align with customer needs, scalability, security, reliability, interoperability, and operating efficiency.
• Identify technical debt, architectural risk, platform fragmentation, and scalability constraints; develop practical plans to address them.

 

Modernization, API, and Integration Architecture

• Own and maintain the technical modernization roadmap in partnership with Product, Engineering, Platform, Security, and Cloud Operations.
• Drive patterns that simplify platforms, reduce operational risk, improve resiliency, and enable faster product delivery.
• Define API and integration architecture standards, including authentication, authorization, versioning, monitoring, documentation, and lifecycle management.
• Support scalable integration with pharmacy management systems, health systems, payers, partners, and other healthcare ecosystem participants.

 

 

 

Required Qualifications & Skills

• 10+ years of progressive experience in software engineering, enterprise architecture, solution architecture, data architecture, cloud architecture, AI enablement, or related technology leadership roles.
• 5+ years leading architecture, technical strategy, data platform, AI, or