Data Product Owner

Vallum Associates; Birmingham; On-site; GBP 70,000 - 95,000; Full time

Job summary

Vallum Associates is seeking an experienced data product lead in the UK to drive data foundations for Operational Resilience and related data domains. You will own the roadmap, articulate product requirements, and coordinate delivery with cross-functional teams in a regulated banking context.

Collaborating with Data Engineers, Analysts and Governance, you will shape data models, data contracts, and metadata policies while ensuring a consistent consumer experience and measurable outcomes.

Qualifications

• Proven track record delivering data products or analytics outcomes.
• Strong understanding of data governance and architecture concepts.
• Experience translating stakeholder needs into clear requirements and acceptance criteria.

Responsibilities

• Lead data product delivery of data foundations for Operational Resilience.
• Own the roadmap and backlog for one or more data products.
• Translate stakeholder needs into product requirements and acceptance criteria.
• Drive end-to-end delivery through the data product lifecycle.
• Collaborate with Data Engineers, Analysts, Architects, and Governance teams to define data models and contracts.
• Publish Data Products to Data Fabric with documentation and guidance.
• Prioritise delivery using Agile practices and manage dependencies across teams.
• Oversee data quality assessment and continuous improvement.
• Drive adoption and stakeholder engagement including training materials for consumers.

Skills

Data product ownership

Roadmap backlog

Stakeholder engagement

Agile delivery

Data governance

SQL / Python

Cloud data platforms

Tools

JIRA

Confluence

SQL

BigQuery

Job description

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)