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 :

1.

Application

Architecture (Monoliths, Microservices)

- 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 :
- 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 robust problem-solving ability.
- Comfortable working with senior leadership.

📌 Enterprise Architect - Life Sciences Domain (India)
🏢 Aparajita Consultancy services
📍 India