Commercial Data Manager

Nicholas Howard are delighted to be recruiting for a Commercial Data Manager.

Our client is seeking an International Commercial Data Manager to support the development of commercial AI analytics solutions and tools across International Markets on a 6-month contract basis. This role will manage and optimise data used for AI initiatives, with a focus on international commercial data, CRM-related data environments, and cross-market data governance. The role will provide domain expertise across Digital, Sales, and Engagements to ensure high-quality data, meaningful semantic model input, effective user acceptance testing, and support for AI implementations where relevant.

Key Responsibilities:

• Define business and data requirements for commercial AI analytics and AI tools.
• Partner with global, regional, and local stakeholders to identify use cases and market data needs.
• Translate business needs into clear technical requirements and coordinate market input.
• Drive data quality, ownership, and remediation across international commercial data domains.
• Monitor data integrity, lineage, and consistency across systems and geographies.
• Support CRM and commercial data for analytics and customer engagement use cases.
• Coordinate data ingestion, cleansing, transformation, validation, and documentation.
• Support semantic model design and lead/support UAT, issue tracking, and sign-off.
• Maintain data governance, metadata, and quality standards across datasets.
• Ensure compliance with privacy, security, regulatory, and internal policy requirement.

Required Skills & Experience:

• Bachelor’s degree in Data Science, Information Systems, Computer Science, Business Analytics, or a related field.
• Experience in data management, business analysis, commercial analytics, or data governance.
• Experience supporting AI, analytics, digital, or data product initiatives.
• Experience working with international or multi-regional data environments and CRM data structures.
• Experience translating business needs into data requirements and supporting UAT or related testing activities.
• Experience in healthcare, biotechnology, life sciences, or other regulated environments.
• Data quality, governance, and metadata management.
• SQL and relational databases.
• CRM systems and commercial/customer data management.
• Data preparation, transformation, and validation for AI/analytics use cases.
• UAT support, requirements gathering, and business process documentation.

Preferred Skills:

• Experience supporting international commercial operations, customer engagement, or commercial excellence initiatives.
• Experience with CRM platforms such as Salesforce, Veeva, or Microsoft Dynamics.
• Implementing or training GenAI solutions.
• Familiarity with BI and visualization tools such as Power BI or Tableau.
• Exposure to cloud data platforms such as Azure, AWS, or GCP.

Should you wish to be considered for this position, please apply below.