Product Data Manager Full Time

As a community of Data and Advanced Analytics professionals, we have diverse backgrounds and industry experience, with in-depth knowledge of structured and unstructured data, and Advanced Analytics techniques. We combine these with our Business Acumen to deliver innovative solutions enabling data driven decisions. We are open-minded, curious, and passionate about problem solving and data driven innovation at scale.

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 domain’s Data Products
• Define and implement data needs and governance mechanisms aligned to your domain’s 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