Do you have experience of providing business analysis expertise for data products, on a complex pharmaceutical data and digital transformation programme?
This consulting opportunity is to support our client, a leading global pharmaceutical organisation, in delivering trusted, FAIR-compliant data products across Pharmaceutical Technology & Development (PT&D). The project supports AI-powered drug development by translating business requirements into high-quality data products that accelerate decision-making and the delivery of innovative medicines.
The project needs a consultant who has:
- extensive business analysis experience across enterprise data product delivery
- advanced SQL capability for developing complex data product solutions
- strong understanding of data engineering, data modelling and data governance principles
- ability to collaborate effectively with business stakeholders and multidisciplinary technical teams
Key services:
The key services that you will be asked to provide are:
- translating business requirements into clear data product specifications
- developing and maintaining complex SQL to support data product delivery
- validating data products to ensure quality, accuracy and completeness
- coordinating with data engineers, information architects and data standards teams to resolve delivery dependencies
- managing Jira epics and supporting iterative delivery across multiple product releases
- maintaining data product documentation, catalogue information and FAIR data standards
Mandatory Requirements:
Successful consultants will be able to demonstrate:
- business analysis experience delivering enterprise data products
- advanced SQL development skills with experience of complex query design
- knowledge of ETL, data modelling, data lakes, reference data and master data
- experience working within Agile delivery teams
- experience collaborating with business stakeholders and technical delivery teams
- experience using Snowflake, Jira and system integration testing environments
- degree in a scientific or technical discipline
- experience supporting data governance, data quality and FAIR data standards
Optional Requirements:
It will also be advantageous if you have:
- experience within pharmaceutical research and development or PT&D
- experience with data science, machine learning or data visualisation
- knowledge of Python, knowledge graphs, ontologies or semantic data models
- experience working with regulated information systems
- previous experience delivering within global organisations
Working Pattern: Hybrid – 60% onsite near Manchester
Contract Type: Outside IR35
Salary: Competitive
Start: ASAP
Duration: 12 months