Director - Pharma

Role : Director or Sr Director or data architect

pharma background and consulting experience

Location : London - Hybrid

Job Description :

Need Director or Sr Director candidate with a Consulting background.

At least 20 years of experience (preferably in the below tech stack or equivalent) designing, scaling, and modernising complex, multi-platform data ecosystems

1) Cloud & Data Platform: AWS Cloud (S3, EC2, IAM, EMR), Snowflake (Cortex, Iceberg tables, Snowpark, Secure Data Sharing).

2) Ingestion & Integration: Fivetran (Automated SaaS pipelines), SnapLogic (Enterprise iPaaS, application integration),

3) Transformation & Orchestration: dbt Cloud/Core (Advanced modeling, CI/CD pipelines), Apache Airflow (MWAA, complex dynamic DAGs, event-driven orchestration)

4) Governance & Quality: Collibra (Enterprise Data Governance, Catalog, Lineage), Acceldata (Data Observability, compute optimization, anomaly detection)

5) Data Science & AI/ML: Databricks (Core ML Modelling, Deep Learning Frameworks, Statistical Methods, MLflow, Model Registry, Feature Stores and e2e MOps workflows)

6) Cognitive Intelligence & GenAI: Sinequa (Ontology-led Ingestion, Hybrid Search Engineering, GraphRAGs, NLP insights), GenAI Builder Platforms & Frameworks (Bedrock AgentCore alongside LangChain or OpenAI/Claude Agents SDKs)

A thought leader who bridges the gap between complex engineering, advanced data science, and executive business strategy to drive tangible ROI

1) Pharma Domain: business process knowledge across discovery, development, regulatory, supply chain & manufacturing, commercial & post-market etc.

1) Architectural Paradigms: Data Mesh, Data Lakehouse, Streaming, Advanced Analytics, Semantic Layer & Knowledge Graph Architectures

2) Understanding of Industry Shifts: Data Readiness for AI, Standards & Interoperability, Zero-trust Data Governance, FinOps Optimization, Operationalization of GenAI.

3) Strategic Leadership: Technical Roadmap Formulation, Multi-million-dollar Transformations, and Cross-functional Mentoring of Engineering, Data Science, & AI Teams.

An aptitude focused on innovation-led execution, problem-solving, and culture

1) Able to navigate matrixed environments and break down silos,

2) Innovation mindset; capable of leading design thinking workshops and hackathons

3) Articulate communicator, able to zoom in and zoom out (technical details vs. business context),