At a Glance
- Tasks: Manage and optimise data for AI analytics across international markets.
- Company: Join a forward-thinking company focused on commercial AI solutions.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a tech-driven environment.
- Why this job: Be at the forefront of AI innovation and make a global impact.
- Qualifications: Degree in Data Science or related field; experience in data management.
The predicted salary is between 59400 - 72600 £ per year.
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 Gen AI 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.
Commercial Data Manager in London employer: Nicholas Howard Careers
Nicholas Howard is an exceptional employer, offering a dynamic work environment for Mechanical Design Engineers in the defence sector. With a strong focus on employee development and a culture that values innovation and collaboration, team members are encouraged to grow their skills while contributing to cutting-edge projects. Located in a region known for its commitment to advanced engineering, employees benefit from access to state-of-the-art resources and a network of industry professionals.
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