As the Executive Director, Head of Enterprise Platforms at Syneos Health, you will be leading a strategic role that involves overseeing multi-year data platform vision and day-to-day operational accountability. Your responsibilities will include leading platform architecture, engineering, and operations teams, as well as software engineering tools/platform organization across various capability areas. **Scope of Responsibility**
The Executive Director oversees five interconnected platform capability areas:
Platform Foundations & SRE: Infrastructure-as-Code, CI/CD automation, observability, and site reliability engineering. - Data & Integration: Enterprise data platform architecture, ingestion pipelines, data transformation, and API/integration services. - Security, Compliance & Testing: Security guardrails, compliance automation, quality engineering, and test automation frameworks. - AI/ML & Knowledge: Agentic AI platform strategy, ML infrastructure, and knowledge management services. - Enablement: Developer portal, self-service tooling, documentation, and engineering productivity. **Key Responsibilities**
Own the enterprise data platform strategy, architecture, and multi-year roadmap, including lakehouse and medallion architecture patterns on Databricks. - Establish scalable data ingestion, transformation, storage, and access patterns supporting complex clinical and commercial data workloads. - Lead platform modernization efforts to reduce technical debt, consolidate fragmented data stores, and improve performance and cost efficiency. - Drive improvements in data governance, lineage, quality, and compliance frameworks. - Lead enterprise platform engineering capabilities including CI/CD pipeline standardization, Infrastructure-as-Code, security guardrails, and automation frameworks. - Establish and monitor SLAs, SLOs, and KPIs for all platform and data services, driving continuous improvement. - Lead, mentor, and develop engineering managers, architects, and technical leads across the enterprise platform organization. **Required Qualifications**
16+ years of progressive experience in engineering, data platform, or infrastructure leadership roles. - Proven track record leading enterprise-scale data platforms and cloud-native architectures. - Strong expertise in DevSecOps practices, CI/CD pipeline design, and Infrastructure-as-Code. - Bachelors degree in Computer Science, Engineering, or related field; advanced degree preferred. **Preferred Qualifications**
Experience with Databricks, lakehouse architecture, and medallion data patterns in production environments at scale. - Background in healthcare, life sciences, or clinical research organizations with familiarity in GxP, 21 CFR Part 11, and CDISC data standards. - Experience designing and deploying enterprise AI/ML platforms, including agentic AI and LLM-based solutions. - Hands-on experience with API management platforms, enterprise observability tools, and managing multi-million-dollar technology budgets. In conclusion, as the Executive Director, Head of Enterprise Platforms at Syneos Health, you will play a crucial role in driving the strategy, architecture, and operational execution of enterprise data platforms and shared platform engineering services. Your focus will be on delivering scalable and secure data platforms and software engineering tools that power business applications, analytics, and digital initiatives across various verticals. As the Executive Director, Head of Enterprise Platforms at Syneos Health, you will be leading a strategic role that involves overseeing multi-year data platform vision and day-to-day operational accountability. Your responsibilities will include leading platform architecture, engineering, and operations teams, as well as software engineering tools/platform organization across various capability areas. **Scope of Responsibility**
The Executive Director oversees five interconnected platform capability areas:
Platform Foundations & SRE: Infrastructure-as-Code, CI/CD automation, observability, and site reliability engineering. - Data & Integration: Enterprise data platform architecture, ingestion pipelines, data transformation, and API/integration services. - Security, Compliance & Testing: Security guardrails, compliance automation, quality engineering, and test automation frameworks. - AI/ML & Knowledge: Agentic AI platform strategy, ML infrastructure, and knowledge management services. - Enablement: Developer portal, self-service tooling, documentation, and engineering productivity. **Key Responsibilities**
Own the enterprise data platform strategy, architecture, and multi-year roadmap, including lakehouse and medallion architecture patterns on Databricks. - Establish scalable data ingestion, transformation, storage, and access patterns supporting complex clinical and commercial data workloads. - Lead platform modernization efforts to reduce technical debt, consolidate fra
