Cygnus Professionals UK
AI Data Product Designer / Developer position, remote (UK)
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About the Role
Cygnus Professionals is recruiting an experienced AI Data Product Designer / Developer with a strong background in pharmaceutical commercial data to design, build and govern data products that power AI and analytics initiatives across the organisation.
The ideal candidate has hands-on expertise in Snowflake (cloud data platform and engineering), Collibra (data governance and cataloguing), and GitHub (version control and CI/CD for data and AI workflows), combined with domain knowledge of pharma commercial data sources, structures and use cases. This role sits at the intersection of data engineering, data governance and AI product development, and is critical to ensuring our data products are trusted, discoverable and ready to fuel AI use cases across sales, marketing, market access and field operations.
This is a fully remote position open to candidates based in the UK, India, LATAM or Europe. Candidates must be able to maintain reasonable working-hour overlap with US Eastern / CET time zones for collaboration and meetings.
Key Responsibilities
- Design, develop and maintain scalable data products and pipelines within Snowflake, optimised for AI/ML consumption and analytics use cases.
- Define and implement data product architecture, including data modelling, schema design and performance tuning within Snowflake.
- Partner with data governance teams to catalog, classify and document data assets in Collibra, ensuring data lineage, quality rules and business glossary terms are accurately maintained.
- Establish and enforce data governance standards, including data quality, metadata management, access controls and lineage tracking, across data products.
- Use GitHub for version control, code review, branching strategies and CI/CD pipelines to manage the data product development lifecycle.
- Collaborate with data scientists, ML engineers and AI product managers to understand data requirements for AI/ML models and translate them into robust, reusable data products.
- Design and manage data products using pharma commercial data sources, including sales/prescription data (e.g. IQVIA, Symphony Health, Veeva), CRM data (Veeva CRM, Salesforce), managed markets/payer data, patient services, and field force effectiveness data.
- Support commercial analytics use cases such as sales force sizing/alignment, targeting and segmentation, market share analysis, patient journey analytics, and forecasting through well-designed, governed data products.
- Ensure compliance with pharma industry data regulations and standards (e.g. HIPAA, GDPR, data privacy for HCP/patient-level data, industry data licensing agreements).
- Build automated testing, validation and deployment workflows for data pipelines and transformations.
- Ensure data products meet security, privacy and compliance requirements, including role-based access, data masking and PII handling.
- Monitor and troubleshoot data pipeline performance, resolving issues related to data quality, latency and reliability.
- Document technical designs, data flows and governance processes for internal stakeholders.
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Required Qualifications
- Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field, or equivalent practical experience.
- 5+ years of experience in data product design, data engineering or a related discipline, with direct exposure to AI/ML data pipelines.
- Hands-on experience with Snowflake, including data modelling, warehousing and performance optimisation; writing and optimising complex SQL queries; and Snowflake features such as Streams, Tasks, Snowpipe and Time Travel.
- Practical experience with Collibra for data cataloging and metadata management, data lineage documentation, and business glossary and data quality workflows.
- Proficiency with GitHub for version control, branching and pull request workflows, and CI/CD pipeline integration for data/analytics projects.
- Strong understanding of data governance principles, data quality frameworks and metadata management.
- Experience working with structured and unstructured data to support AI/ML use cases.
- Working knowledge of pharmaceutical commercial data, including common data types and sources (e.g. IQVIA/IMS, Symphony Health, Veeva, specialty pharmacy data, claims data, CRM/call activity data, sample data) and how they are used in commercial analytics.
- Understanding of pharma commercial functions (sales, marketing, market access, medical affairs) and the data products/KPIs that support them.
- Solid scripting/programming skills (Python, SQL or similar) for data transformation and automation.
- Excellent communication skills, with the ability to work cross-functionally with data engineering, governance and AI product teams.
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Preferred Qualifications
- Experience designing data products specifically for AI/ML model training, feature stores or generative AI applications.
- Familiarity with data orchestration tools (e.g. Airflow, dbt) integrated with Snowflake.
- Knowledge of cloud platforms (AWS, Azure or GCP) and their integration with Snowflake.
- Experience with API design for data product consumption.
- Prior experience in pharma, biotech or life sciences commercial organisations, ideally supporting commercial data warehouses or Commercial Data & Analytics (CDA) teams.
- Snowflake or Collibra certifications.
How to Apply
For further details, email your CV and covering letter to enquiries@cygnuspro.co.uk, or apply via cygnuspro.co.uk/careers.html.
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