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
