Director Data/Seniors Solution/Enterprise Architect-Big Data/AI

Role Overview

We are seeking a seasoned Director /Senior Data Architect with deep expertise in data and cloud technologies to drive the architecture strategy for research and clinical development domains within a life sciences organization. The ideal candidate will combine strong enterprise architecture capabilities .

Key Responsibilities

Architecture Strategy

• Define and drive enterprise architecture vision, target state, and roadmap for data and cloud platforms
• Establish architecture principles, standards, and governance aligned to business and regulatory requirements
• Enable digital transformation across research and clinical development functions

Data Architecture & Engineering

• Define enterprise data strategy including data governance, data quality, metadata management, and lineage
• Architect modern data platforms (data lakes, lakehouse, warehouses) supporting structured and unstructured data
• Design and oversee implementation of scalable data pipelines (ETL/ELT), data integration, and data interoperability
• Enable advanced analytics, AI/ML, and data science platforms

Cloud & Platform Architecture

• Lead design and adoption of cloud-native architectures on AWS, Azure, or GCP
• Define patterns for microservices, APIs, containerization, and event-driven architectures
• Ensure scalability, resilience, security, and cost optimization of cloud solutions

Integration & Ecosystem Enablement

• Architect integration with key research and clinical systems (e.g., EDC, CTMS, eTMF, lab systems, genomics platforms)
• Define API-first and data-sharing strategies across internal and external ecosystems
• Enable interoperability with partners, CROs, and external data providers

Governance, Risk & Compliance

• Ensure compliance with regulatory standards (GxP, 21 CFR Part 11, data privacy regulations)
• Lead architecture governance, reviews, and design authority processes
• Support validation, audit readiness, and documentation in regulated environments

Innovation & Thought Leadership

• Evaluate and onboard emerging technologies in data, cloud, and AI/ML
• Drive innovation in areas such as real-world data, digital biomarkers, and precision medicine

Required Qualifications & Experience

• 15+ years of IT experience with significant experience in enterprise/data architecture roles
• Strong expertise in data architecture (data lakes, lakehouse, warehouses, data governance)
• Deep experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures
• Proven experience in life sciences with strong exposure to research and clinical development domains
• Understanding of clinical data flows, standards, and systems (EDC, CTMS, eTMF, CDISC standards)
• Strong knowledge of integration patterns, APIs, and distributed systems
• Experience working in regulated environments (GxP, 21 CFR Part 11)