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 :

• 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 :

• Application Architecture (Monoliths, Microservices)

• Data Architecture (Data Warehousing, Data Lakes, MDM)

• Integration Architecture (APIs, ESB, Event-driven)

• 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 :

• 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.