Oxford Nanopore is seeking a detail-oriented and proactive Data Steward to support enterprise-wide data quality, governance, and data integrity initiatives across key business systems. This role will play a critical part in ensuring business data is accurate, reliable, compliant, and optimized to support operational excellence and data-driven decision-making.
The successful candidate will work closely with Commercial, Marketing, Finance, Business Systems (IT), and Analytics teams to improve data quality standards, governance practices, and system processes across platforms including Salesforce, Magento, and Microsoft Dynamics 365.
Key Responsibilities Data Quality & Hygiene
Own and support data quality monitoring and improvement initiatives within Salesforce, with supporting knowledge of Magento and Microsoft Dynamics 365 data structures and workflows.
Identify and resolve data inconsistencies, duplicates, inaccuracies, and data integrity issues across core business systems.
Ensure data lineage is clearly defined, documented, and maintained.
Develop, implement, and maintain data cleansing, standardization, and enrichment processes.
Define, monitor, and report on key data quality metrics, including:
Completeness
Accuracy
Consistency
Timeliness
Lead and support large-scale data remediation and cleansing projects while minimizing operational disruption.
Data Governance
Process & System Improvement
Stakeholder Collaboration
Monitoring & Reporting
Key Systems & Tools
What We're Looking For
Required Qualifications & Experience
Experience in Data Stewardship, Data Governance, Data Quality, or related data management roles.
Hands-on experience with CRM and ERP systems, particularly Salesforce and Microsoft Dynamics 365.
Strong understanding of data management principles, governance practices, and data quality frameworks.
Experience with:
Data cleansing
Deduplication
Validation techniques
Data remediation initiatives
Strong analytical and problem-solving skills with exceptional attention to detail.
Ability to collaborate effectively with both technical and non-technical stakeholders across multiple business functions.
Strong organizational and communication skills.
Nice to Have
If you are enthusiastic about genomics, driven to deliver results, and ready to contribute to a fast-growing tech company, we would love to hear from you!
The salary for this role is between $79,541 and $90,000 USD. The salary offered will reflect the skills and experience of the candidate.
Certain roles within ONT are eligible for annual bonus and stock. These awards are allocated based on individual performance.
Employees based in the US have the option to choose healthcare benefits, participate in the company 401(k) plan and company match, we also offer short-term and long-term disability coverage, basic life insurance, and commuter benefits to name a few.
We are proud to be an equal opportunity employer. We select and employ candidates only in accordance with their merits, qualifications, and abilities to perform the duties of the job regardless of gender, marital status, race, religion, color, age, disability, sexual orientation, military or veteran status. If you require an accommodation to complete the application or interview process, please contact human.resources@nanoporetech.com
Oxford Nanopore Technologies: Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins. The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments. With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries.