Data Product Owner
2 days ago
Sheffield
Principal accountabilities and responsibilities: • 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, • Translate stakeholder needs into clear product requirements i.e. problem statement, user journey, use cases, acceptance criteria, value hypotheses, and measurable outcomes (OKRs, KPIs), • 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) Skills/experience required: • 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, • Ability to communicate through clear narratives and practical value cases, comfortable presenting solutions to technical and non-technical stakeholders, • Technical literacy, confidence working with SQL, python, analytics tooling, experience with cloud data platforms (GCP, Big Query)