# Head Clinical IHD Data Product Strategy

**Company**: GSK
**Location**: London, New Oxford Street
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK--London--New-Oxford-Street/Head-Clinical-IHD-Data-Product-Strategy_451599-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/head-clinical-ihd-data-product-strategy-b0bcd8a7-19d/

## Description

The Head Clinical IHD Data Product Strategy will lead the end-to-end lifecycle of clinical and individual human data (IHD) across R&D, owning strategy, operating model and product vision.

You will treat the lifecycle as a product, embedding consent, purpose limitation and protection controls that travel with the data, policy-as-code guardrails built directly into pipelines, and audit-ready evidence generated by design.

Key responsibilities include:

- Setting and refining the end-to-end clinical and individual human data lifecycle strategy and operating model

- Owning the clinical IHD data product strategy and experience

- Leading change, adoption and advocacy across R&D and the enterprise

- Enhancing, scaling and connecting the IHD process into a standardised, automated operating model

- Embedding automated, tech-enabled compliance

- Driving innovation and team development

The ideal candidate will have a Bachelor's degree in data management, Computer Science, Statistics, Biostatistics, Life Sciences or a related field, broad working knowledge of clinical development processes and the R&D data lifecycle, and proven experience in data governance, data management and the delivery of complex, cross-functional data programmes.

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## Skills

### Required
- Artificial Intelligence (AI)
- Big Data
- Business Intelligence (BI)
- Cloud Computing
- Data Analysis
- Database Design
- Data Modeling
- Data Privacy
- Data Quality Assessments
- Data Security
- Data Virtualization
- Data Warehousing (DW)
- Enterprise Resource Planning (ERP)
- Machine Learning (ML)
- Metadata Management
- Python (Programming Language)

### Nice to have
- Master's degree in Data Management, Computer Science, Statistics, Biostatistics, Life Sciences or a related field
- Certification in data governance or data management frameworks
- Exposure to AI governance, responsible AI or machine learning operations

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