- 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 eg 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 ie problem statement user journey use cases acceptance criteria value hypotheses and measurable outcomes OKRs KPIs
- Drive endtoend 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 standards and policies
- Publish Data Products to the Data Fabric with appropriate documentation certification and consumption guidance eg 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
Skillsexperience required
- Strong understanding of Operational Resilience concepts and handson experience with relevant data eg 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 datarelated 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 eg 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 eg metadatadriven 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 nontechnical stakeholders
- Technical literacy confidence working with SQL python analytics tooling experience with cloud data platforms GCP Big Query
Soft skills required
- Strong ownership mindset with the ability to balance pace with control delivering value while managing risk and aligning to strategic operating model
- Excellent communication and stakeholder management skills including influencing across functions and navigating competing priorities
- Structured thinking and problemsolving able to break complex problems into deliverable increments and make clear tradeoffs
- Collaborative ways of working in crossfunctional geographically dispersed teams
- Proactive continuousimprovement attitude spots opportunities to simplify standardise and scale
Mandatory Skills : Azure API Management, Data Architecture, Data Governance, Financial Operations,
