Job Description

Key Responsibilities & Deliverables:

Architecture Strategy & Point of View (PoV) Development

Current State Assessment: Deep dive into existing architectures to identify bottlenecks, technical debt, and scalability limitations.

Option Appraisal: Evaluate multiple architectural alternatives, providing a clear-eyed analysis of pros, cons, costs, risks & impact for each by keeping an unbiased & vendor neutral approach.

Target State Definition: Define robust target state architectures and create Architecture Point of Views (POVs) for high priority use cases in Data, AI, Cloud, Integrations and Collaboration platforms

Standardization: Develop and document architecture best practices, standards and Reference Architectures for common, repeatable use cases to ensure consistency across the enterprise.

Governance & The ARB

ARB Leadership: Present PoVs and architectural designs to the Architecture Review Board (ARB), defending technical choices while remaining open to collaborative refinement.

Process Improvement: Act as a key contributor to the evolution of our EA governance process, making it more agile, effective & non-disruptive.

Finalization: Work closely with the ARB to finalize and formalize all architectural artifacts.

Stakeholder Collaboration & Socialization

Cross-Functional Partnership: Act as the "connective tissue" between Data, Analytics, AI, and Enterprise Integration functions.

Partner Enablement: Socialize finalized standards and best practices with the application / data / solution teams & external consulting partners to ensure high-quality delivery.

Business Alignment: Translate complex technical roadmaps into business value for non-technical stakeholders.

Skills:

Experience: 15+ years in IT, with at least 5+ years in an Enterprise Architecture role and 5+ years in a Solution / Application / Data Architecture role preferably within the Life Sciences, Med Tech or Healthcare sector

Technical Breadth: Proven experience in Cloud (GCP / AWS), Data Lake & Warehouses (Snowflake), AI/ML (Predictive AI, Generative AI, Agentic AI), Integrations (APIs, Pub-Sub, Streams, File Transfers)

Industry Domain: Prior experience in the Biopharma / Life Sciences industry is recommended or nice-to-have

Domain Knowledge: Familiarity with Life Sciences capabilities, functions (R&D, Drug Development or Clinical, Regulatory, Pharmacovigilance, Manufacturing, Medical Affairs, Commercial), and common GxP / regulated use cases

Education:

Education: Bachelor’s or master’s degree in Enterprise Architecture, Computer Science, Information Technology, Information Management or a related discipline

Frameworks / Certifications: Certified or strong familiarity with TOGAF, Zachman Ontology Framework or similar EA framework or methodologies (but with a practical, non-dogmatic application mindset)

Skills:

Required

BUSINESS ARCHITECTURE

ENTERPRISE ARCHITECTURE

SOLUTION ARCHITECTURE

Additional:

APPLICATION ARCHITECTURE

DATA ARCHITECTURE

CLOUD

GCP

AWS

DATA LAKE

DATA WAREHOUSES

SNOWFLAKE

AI/ML

PREDICTIVE AI

GENERATIVE AI

AGENTIC AI

INTEGRATIONS

APIS

PUB-SUB

STREAMS

FILE TRANSFERS

LIFE SCIENCES

R&D

DRUG DEVELOPMENT

CLINICAL

REGULATORY

PHARMACOVIGILANCE

MANUFACTURING

MEDICAL AFFAIRS

COMMERCIAL

GXP

ARCHITECTURE POINT OF VIEWS (POVS)

REFERENCE ARCHITECTURES

ARCHITECTURE REVIEW BOARD (ARB)

GOVERNANCE

PROCESS IMPROVEMENT

CROSS-FUNCTIONAL PARTNERSHIP

PARTNER ENABLEMENT

BUSINESS ALIGNMENT

Languages:

English

Read

Write

Speak

Minimum Degree Required:

Bachelor's Degree

Certifications & Licenses:

TOGAF.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

Additional Information

All your information will be kept confidential according to EEO guidelines.