Description 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 Nanopore’s 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 person's 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. LI-LH1 LI-hybrid