Data Quality Product Owner in Sheffield

Lead product delivery of data foundations for Operational Resilience , providing a governed, reusable data layer that underpins how the bank measures resilience, maps service dependencies and tests scenario assumptions across Procurement and Real Estate Services Own the roadmap and backlog for one or more data products (e.g. procurement spend, supplier performance, real estate portfolio performance, operational KPIs), aligned to business outcomes and strategic data model Drive end-to-end delivery through the full data product lifecycle, ensuring reusability and consistent consumer experience Partner with Data Engineers, Analysts, Architects, and Data Governance to define data models , data contracts, metadata, lineage, quality rules, retention and access controls in line with HSBC standards and policies Publish Data Products to the Data Fabric with appropriate documentation, certification, and consumption guidance (e.g. semantic definitions, metric logic, SLAs) Prioritise delivery using Agile practices (refinement, sprint planning, demos, retrospectives), managing dependencies and removing blockers across multiple teams Oversee data quality assessment and continuous improvement (completeness, accuracy, timeliness, consistency), including monitoring and incident resolution where required Drive adoption & stakeholder engagement , communications, training materials, and enablement for consumers (MI / reporting teams, analysts, operational users) Strong understanding of Operational Resilience concepts and hands-on experience with relevant data e.g. service / impact tolerances, asset dependency incidents / outages, DR / BCP test evidence, concentration indicators Conceptual understanding of Procurement / Real Estate and associated data domains preferred Demonstrable experience in a data-related role (data product, analytics, data operations, data engineering, MI delivery) with ownership of outcomes Strong capability in requirement gathering & analysis , stakeholder engagement, and use case management, able to move from ambiguity to a prioritised plan Working knowledge of data architecture , data management, data governance concepts Experience building or managing data assets aligned to business outcomes and strategic data models (e.g. curated datasets, KPIs, semantic models, reports) Understanding of data architecture and data modelling (conceptual / logical), and how design decisions impact downstream consumption and scalability Practical experience with data quality assessment, uncovering inconsistencies across systems, and driving remediation with accountable owners Familiarity with modern data platform patterns (e.g. metadata-driven discovery) and operating models for reusable data products Strong product delivery skills (backlog management, prioritisation, MVP definition, release planning), experience with JIRA and Confluence Technical literacy, confidence working with SQL, python, analytics tooling, experience with cloud data platforms (