Chief Data Officer – UK or Poland (Home‑Based)
Executive Leadership | Data Strategy | Enterprise Transformation
A leading global life‑sciences organisation is seeking an accomplished Chief Data Officer (CDO) to drive enterprise‑wide data strategy, architecture, and transformation. This is a senior, VP‑level position with responsibility for shaping and delivering the company’s data vision while leading a high‑performing team of Senior/Executive Directors across the UK and US.
About the Role
The CDO will report directly to the Chief Information Officer and will lead a specialist team of 4–5 senior data leaders. This is a strategic‑technical hybrid role requiring both high‑level vision and hands‑on capability. Candidates must be able to define enterprise data direction while also diving into architecture, tooling, design, and delivery where necessary.
This position is home‑based and can be performed from the UK or Poland .
Key Responsibilities
Define and execute the organisation’s enterprise‑wide data strategy
Lead data transformation initiatives across architecture, governance, quality, and operations
Oversee creation of data lakes, warehouses, lakehouses, and modern data platforms
Drive the transition to Azure‑based cloud environments and modern engineering practices
Build an enterprise data model capable of standardising sponsor data received in various formats
Develop and implement Medallion Architecture (Bronze/Silver/Gold layers)
Guide the ingestion, curation, standardisation, and consumption of data
Deliver scalable data solutions that support multi‑tenancy and SaaS offerings
Lead innovation and champion data‑driven improvements across the organisation
Manage a senior team responsible for data engineering, architecture, governance, and strategy
What We’re Looking For
Industry Experience (mandatory)
Pharma, biotech, healthcare, or broader life‑sciences data leadership
Candidates outside these industries will not be considered.
Technical & Strategic Expertise
Proven background in enterprise‑level data transformation
Experience handling legacy data, migrations, and modernisation projects
Strong knowledge of Microsoft Azure, data engineering, and cloud‑native tools
Deep understanding of Medallion Architecture (Bronze/Silver/Gold)
Experience building data lakes, lakehouses, and large‑scale data ecosystems
Ability to design multi‑tenant SaaS data solutions and data‑slicing approaches
Strong familiarity with Snowflake or similar technologies
Ability to define and implement enterprise data models
Strong understanding of data integration challenges, including data lineage and sponsor integrations
Leadership & Delivery
Ability to articulate and deliver a compelling vision for data transformation
Demonstrable track record of innovation in data strategy and architecture
Experience leading senior technical leaders (Directors/Exec Directors)
Interview Structure
Stage 1: VP, Global Head of Clinical Technology & Strategy
Stage 2: Head of Product Management & Engineering
Final Stage: Chief Information Officer
Examples of Areas Candidates Will Be Assessed On
Candidates should be prepared to discuss:
How they would build an enterprise data ecosystem from scratch
Approach to addressing data lineage/data length issues with large sponsor integrations
Real examples of innovations they have delivered and their business impact
How to implement Medallion Architecture and manage heterogeneous sponsor data inputs
#J-18808-Ljbffr