Description

About the RoleWe're looking for a Data & Analytics leader to shape enterprise-wide architecture across data platforms, analytics delivery, AI/ML, data security, and governance. You'll work at the intersection of architectural vision and hands-on design — guiding solutions from interim-state assessments to future-state roadmaps, while integrating advanced analytics and Generative AI into real business workflows.This is a role for someone who thinks in systems, not just tools — someone who can define the architecture and also build the proof-of-concept that proves it works.
What You'll Do
Design enterprise data and analytics architecture — best practices, patterns, and guiding principles for new solutions
Integrate AI/ML models (TensorFlow, PyTorch, Scikit-learn) into existing data workflows across cloud environments
Lead proof-of-concept initiatives and build future-state architecture roadmaps
Own architectural artefacts, high-level designs, and deployment support for data, analytics, and GenAI solutions
Architect across five pillars: data platforms, analytics delivery, data security, AI, and data governance
Partner with business and solution architecture teams to ensure technology delivers real business outcomes
Mentor cross-functional teams and communicate technical decisions to both technical and non-technical stakeholders

What You Bring
Hands-on experience with Azure or AWS cloud architecture (multi-cloud is a plus)
Strong experience with Databricks, Snowflake, or BigQuery
Proficiency in Azure Data Factory or Informatica for data pipeline and integration
Working knowledge of AI/ML frameworks — TensorFlow, PyTorch, Scikit-learn, MLflow
Strong Python and SQL skills
Solid grounding in data governance, security, and management principles
A cloud architect certification (Azure Solutions Architect Expert or AWS Solutions Architect Professional) — required
TOGAF, CDMP, or Google Professional Cloud Architect certification — a plus
Experience in pharmaceutical, healthcare, or life sciences — a plus

EducationBachelor's in Statistics, Computer Science, IT, or equivalent experience (Master's preferred)Apply now to help shape the future of enterprise data and AI architecture

Key Skills

Education

Any Graduate