Key Responsibilities: Drive the creation and delivery of high-quality reusable data products Lead in collaboration with multiple crews in delivering against data strategies drive roadmaps and business priorities. Collaborate with Domain Data Delivery Leads to define vision and strategy of a specific Retail Bank domains Data Products Define and implement data needs and governance mechanisms aligned to your domains business goals. Ensuring all Data Products adhere to RBS Data Office guidelines on scoring thresholds risk controls and the Delivery Playbook Standardise and scale the production of efficient re-usable data products. Providing critical business context for Data Products to ensure they meet the needs of stakeholders and users Strengthen producer-consumer data relationships across BUs/SUs and act as your Domains conduit for Data Product Management We will be interested in people with: Proven experience leading enterprise-level data initiatives with a core background in Data Engineering Architecture. Expertise in data governance metadata management data product focused mindset and business-aligned data strategy. Strong stakeholder engagement and cross-functional leadership experience. A passion for leading people upskilling teams and championing collaboration. Thought leadership in Data AI or Analytics with a drive to democratise data use. Experience in Data Cloud migration and exposure to AWS eco system would be desirable. Technical Skills and Tools: People Management : Demonstrated experience in managing and leading large technical teams in Data Engineering Advanced Analytics and Data Management. Technical Leadership: Deep technical expertise in data management data engineering stewardship and cloud migration with focus on AWS Cloud will be desirable. Tooling: A core background in data engineering along with decent exposure to managing hands-on tools such as Python SQL and key AWS integration packages. Cloud Architecture: Demonstrated experience in developing deploying and monitoring on AWS infrastructures. CI/CD: Experience with version control and CI/CD pipelines such as GitHub is desirable. |
Key Responsibilities: Drive the creation and delivery of high-quality reusable data products Lead in collaboration with multiple crews in delivering against data strategies drive roadmaps and business priorities. Collaborate with Domain Data Delivery Leads to define vision and strategy of a speci...
Key Responsibilities: Drive the creation and delivery of high-quality reusable data products Lead in collaboration with multiple crews in delivering against data strategies drive roadmaps and business priorities. Collaborate with Domain Data Delivery Leads to define vision and strategy of a specific Retail Bank domains Data Products Define and implement data needs and governance mechanisms aligned to your domains business goals. Ensuring all Data Products adhere to RBS Data Office guidelines on scoring thresholds risk controls and the Delivery Playbook Standardise and scale the production of efficient re-usable data products. Providing critical business context for Data Products to ensure they meet the needs of stakeholders and users Strengthen producer-consumer data relationships across BUs/SUs and act as your Domains conduit for Data Product Management We will be interested in people with: Proven experience leading enterprise-level data initiatives with a core background in Data Engineering Architecture. Expertise in data governance metadata management data product focused mindset and business-aligned data strategy. Strong stakeholder engagement and cross-functional leadership experience. A passion for leading people upskilling teams and championing collaboration. Thought leadership in Data AI or Analytics with a drive to democratise data use. Experience in Data Cloud migration and exposure to AWS eco system would be desirable. Technical Skills and Tools: People Management : Demonstrated experience in managing and leading large technical teams in Data Engineering Advanced Analytics and Data Management. Technical Leadership: Deep technical expertise in data management data engineering stewardship and cloud migration with focus on AWS Cloud will be desirable. Tooling: A core background in data engineering along with decent exposure to managing hands-on tools such as Python SQL and key AWS integration packages. Cloud Architecture: Demonstrated experience in developing deploying and monitoring on AWS infrastructures. CI/CD: Experience with version control and CI/CD pipelines such as GitHub is desirable. |
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