Data Steward

About Us

Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford UK with satellite offices and commercial presence in many global locations across the US APAC and Europe. Oxford Nanopore employs from multiple subject areas including nanopore science molecular biology and applications informatics engineering electronics manufacturing and commercialisation. The management team led by CEO Dr Gordon Sanghera has a track record of delivering disruptive technologies to the market.

Oxford Nanopores sequencing platform is the only technology that offers real-time analysis (for rapid insights) in fully scalable formats from pocket to population scale that can analyse native DNA or RNA and sequence any length of fragment to achieve short to ultra-long read lengths.

Our goal is to enable the analysis of any living thing by anyone anywhere. We offer real-time nanopore-based DNA/RNA sequencing technology: accessible easy to use and fully scalable for any requirement.

Role Overview

We are seeking a detail-oriented and proactive Data Steward to support data hygiene quality and governance initiatives across Oxford Nanopore. This role will be responsible for maintaining high-quality reliable data across key business systems focused on Salesforce ensuring data is accurate consistent and compliant with internal standards and regulatory requirements.

The Data Steward will work cross-functionally with commercial marketing finance and business systems (IT) teams to improve data integrity define governance practices and enable data-driven decision-making.

Key Responsibilities

Data Quality & Hygiene

• Own data quality monitoring and improvement initiatives in Salesforce with supporting knowledge of Magento and Dynamics 365 data structures and workflows.
• Identify and resolve data inconsistencies duplicates and inaccuracies ensure data lineage is clear mapped and managed
• Implement and manage data cleansing routines and enrichment processes
• Define and track data quality metrics (completeness accuracy consistency timeliness)
• Support and lead large-scale data cleansing initiatives across core systems ensuring alignment with established data governance standards and business rules
• Plan coordinate and execute bulk data remediation activities (e.g. deduplication standardization enrichment) while minimizing business disruption

Data Governance

• Define develop and enforce of data governance policies standards and procedures
• Ensure adherence to data management best practices and regulatory requirements (e.g. GDPR where applicable)
• Maintain data definitions ownership models and metadata documentation
• Partner with data owners and stakeholders to establish clear accountability for data assets

Driving change via Process and System Improvement

• Collaborate with system owners and IT to improve data capture processes and validation rules
• Recommend enhancements to workflows and system configurations to prevent data quality issues at source
• Support implementation of data governance tools and frameworks
• Participate in major change/system implementations and data migration projects to ensure data quality and governance standards are applied

Stakeholder Collaboration

• Act as a point of contact for data-related queries issues and incidents across business teams
• Provide guidance and training to users on data standards and best practices
• Work closely with analytics teams to ensure data is fit for reporting and insights

Monitoring & Reporting

• Work with data and analytics to develop dashboards and reports to track data quality KPIs
• Conduct regular audits of data across systems
• Communicate findings risks and improvement opportunities to stakeholders

Key Systems & Tools

• Salesforce CRM
• Magento (eCommerce platform)
• Microsoft Dynamics 365
• Optional: Data quality tools BI tools like Power BI/Tableau MDM platforms

Skills & Experience

• Experience in data stewardship data governance or data quality roles
• Hands-on experience with CRM and ERP systems (Salesforce Dynamics 365 preferred)
• Strong understanding of data management principles and governance frameworks
• Experience with data cleansing deduplication and validation techniques
• Analytical mindset with attention to detail
• Ability to work cross-functionally and communicate with both technical and non-technical stakeholders

Nice to Have

• Experience with Master Data Management (MDM) tools
• Familiarity with data governance frameworks
• Experience in life sciences biotech or regulated environments
• Knowledge of data querying tools

Please note that no terminology in this advert is intended to discriminate on the grounds of a persons gender marital status race religion colour age disability or sexual orientation. Every candidate will be assessed only in accordance with their merits qualifications and abilities to perform the duties of the job.

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