At a Glance
- Tasks: Own and ensure the quality of global commercial master data across various platforms.
- Company: Join a leading enterprise that values data governance and quality at an executive level.
- Benefits: Enjoy a strong benefits package, bonus structure, and flexible remote working options.
- Other info: Collaborate globally and influence how data is trusted and governed.
- Why this job: Make a real impact on data accuracy in a high-stakes environment while shaping future governance.
- Qualifications: Experience with Veeva CRM and strong data governance skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
We’re hiring a Senior Data Steward/Analyst to take ownership of the quality, governance, and reliability of commercial master data across a global enterprise. This role exists because data quality is recognised at an executive level as critical to commercial performance, regulatory confidence, and future scalability. It is an ongoing data governance role, not a one-off cleanup or remediation project.
While the initial focus will be on US-based Veeva CRM data, the remit is global by design and will expand as the wider enterprise data ecosystem matures across CRM, ERP, and analytics platforms. As Senior Data Steward, you will act as the global owner of commercial master data, working across regions, systems, and functions to ensure data is accurate, consistent, governed, and trusted. You will use Master Data Management (MDM) tooling (e.g. Syncari or equivalent) to control data flows, enforce standards, and prevent poor-quality data from propagating across the organisation.
- Global Data Stewardship & Governance
- Act as the global Data Steward for commercial master data, including Accounts, HCPs, HCOs, and hierarchies.
- Own and enforce data quality standards across regions to ensure consistency, accuracy, and reliability.
- Align governance practices with regional regulatory, privacy, and commercial requirements.
- Define, document, and maintain data governance processes, standards, and SOPs.
- Veeva CRM Data Ownership (Must Have experience with this)
- Serve as the primary Data Steward for Veeva CRM.
- Own customer mapping, hierarchy management, and overall data accuracy.
- Govern the full lifecycle of Veeva CRM data in line with internal standards and compliance expectations.
- Support both US and European Veeva configurations, ensuring visibility into regional differences while maintaining shared global standards.
- Identify and resolve data quality issues including duplicates, incorrect mappings, missing attributes, and legacy account structures.
- Partner closely with commercial and operational stakeholders to ensure Veeva data reliably supports sales execution, reporting, and analytics.
- Master Data Management & Integration Oversight
- Syncari or similar to govern data synchronisation between Veeva CRM and downstream systems.
- Define and enforce source-of-truth and data authority rules.
- Prevent low-quality data from propagating across the enterprise.
- Perform root-cause analysis when data issues surface in reporting, analytics, or operational workflows.
- Data Quality Monitoring & Analytics Enablement
- Conduct data profiling, audits, and reconciliation to ensure reporting and analytics data is trusted.
- Define and track data quality metrics, demonstrating continuous improvement over time.
- Collaborate with BI, Analytics, IT, and Sales Operations teams to resolve discrepancies and improve upstream data processes.
You will bring a strong blend of data governance expertise, CRM mastery, and stakeholder influence, with the confidence to own global standards and the practical skills to resolve complex data problems.
- Hands-on Veeva CRM experience (Accounts, Addresses, Affiliations, hierarchy management).
- ~3–5+ years experience in Data Stewardship, Data Governance, or Master Data Management.
- Strong experience managing CRM data, ideally within Life Sciences, Healthcare, or a regulated environment.
- Hands-on experience with MDM or data integration tools (Syncari preferred).
- Strong SQL skills for data analysis, investigation, and troubleshooting.
- Solid understanding of data quality frameworks and governance principles.
- Proven ability to work cross-functionally and explain data concepts to non-technical stakeholders.
- Experience supporting commercial, sales, or operational analytics use cases.
- Familiarity with healthcare master data domains (HCP, HCO).
- Experience with relational databases (e.g. PostgreSQL).
- Exposure to SAP master data.
- Involvement in data migrations, platform consolidations, or large-scale data transformations.
- Experience with rules-based matching, deduplication, or AI-assisted data quality processes.
Global remit with meaningful influence over how data is governed and trusted. Opportunity to shape governance foundations that support analytics, automation, and AI. Work in a regulated, high-impact environment where data accuracy genuinely matters. Strong benefits package. Bonus structure. Remote working or Hybrid (London office if available to do so). Remote options are available with ad hoc travel to their outer London office when needed.
Data Steward - Remote employer: IntaPeople: STEM Recruitment
Contact Detail:
IntaPeople: STEM Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Steward - Remote
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its data governance practices. Show them you’re not just another candidate; you’re genuinely interested in how they manage their data!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience with Veeva CRM and MDM tools clearly and confidently. We want to hear how you can make a difference in their data quality.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Steward - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Steward role. Highlight your experience with Veeva CRM and any relevant data governance projects. We want to see how your skills align with our needs!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've managed data quality or resolved complex data issues in previous roles. This helps us see your practical experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data stewardship and how you can contribute to our global data governance efforts. Keep it engaging and personal.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IntaPeople: STEM Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in data governance principles and the specific tools mentioned in the job description, like Veeva CRM and Syncari. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your ability to analyse and troubleshoot data issues.
✨Showcase Your Stakeholder Skills
Prepare examples of how you've worked cross-functionally in the past. This role requires collaboration with various teams, so be ready to discuss how you’ve influenced non-technical stakeholders and ensured data quality across different functions.
✨Understand Regulatory Requirements
Familiarise yourself with the regulatory landscape relevant to the life sciences and healthcare sectors. Be prepared to discuss how you’ve aligned data governance practices with compliance standards in previous roles.
✨Demonstrate Continuous Improvement Mindset
Think about how you’ve tracked and improved data quality metrics in your past experiences. Be ready to share specific examples of how you’ve conducted audits or reconciliations to ensure data integrity and reliability.