Enterprise Architect - Life Sciences Domain

Key Responsibilities : Enterprise Architecture & Strategy : - Define and maintain enterprise architecture vision, principles, standards, and roadmaps aligned with life sciences business strategy. - Develop current-state and target-state architectures across business, application, data, and technology domains. - Drive architecture for digital transformation initiatives such as data platforms, AI/ML enablement, cloud migration, and legacy modernization. - Align IT architecture with R&D, Clinical, Manufacturing, Quality, Regulatory, and Commercial strategies. Life Sciences Domain Architecture : - Provide architectural leadership across : 1. Research & Discovery (scientific data, lab systems, bioinformatics platforms) - Ensure architecture supports end-to-end data flow across the life sciences value chain. - Enable FAIR data principles, data reuse, and interoperability across scientific and enterprise platforms. - Guide integration of COTS life sciences platforms with enterprise systems. Data, Cloud & Platform Architecture : - Define enterprise data architecture supporting structured, semi-structured, and unstructured scientific data. - Guide architecture for data lakes, data warehouses, analytics, and AI/ML platforms. - Support cloud and hybrid architectures (AWS / Azure / GCP) for regulated workloads. - Define integration strategies using APIs, event-driven architectures, and messaging. Governance, Compliance & Security : - Ensure architecture complies with GxP, 21 CFR Part 11, GDPR, HIPAA, and data privacy regulations. - Embed security, auditability, traceability, and validation requirements into architecture designs. - Participate in Architecture Review Boards (ARB) and governance forums. - Identify and mitigate architecture and compliance risks. Stakeholder & Program Engagement : - Partner with business leaders, scientific teams, and IT leadership to translate strategy into executable architecture. - Act as a trusted advisor to senior stakeholders on technology choices, trade-offs, and risk. - Support large-scale programs and portfolios with architecture oversight. Mentoring & Capability Building : - Mentor Solution Architects and technical teams on enterprise and life sciences architecture best practices. - Promote reuse of standards, platforms, and reference architectures. - Contribute to improving enterprise architecture maturity. Required Skills & Experience : Architecture & Technical Skills : - Strong experience with Enterprise Architecture frameworks (TOGAF or equivalent). - Hands-on experience in : 1. Application Architecture (Monoliths, Microservices) 2. Data Architecture (Data Warehousing, Data Lakes, MDM) 3. Integration Architecture (APIs, ESB, Event-driven) 4. Cloud Architecture (AWS / Azure / GCP) - Experience modernizing legacy life sciences systems. Life Sciences Domain Experience : - 4 to 6+ years of experience in Life Sciences / Pharma / Healthcare IT. - Strong understanding of regulated environments (GxP). - Experience with life sciences platforms such as : 1. LIMS, ELN, CTMS, EDC, eTMF, Safety systems, MES, QMS (any combination) - Familiarity with clinical, scientific, and manufacturing data landscapes. Tools & Platforms (Indicative) : - Architecture tools : Sparx EA, LeanIX, ArchiMate (or equivalents) - Cloud platforms : AWS / Azure / GCP - Data & analytics platforms : Data Lakes, Warehouses, Analytics tools - Integration platforms : APIs, Messaging, Middleware Soft Skills : - Strong stakeholder management and communication skills. - Ability to influence across business, scientific, and IT teams. - Strategic mindset with strong problem-solving ability. - Comfortable working with senior leadership.