Data Product Manager

• You are curious and passionate to build advanced Data and AI Solutions

• We are ambitious in transforming lives of customers using Data and AI Strategy!

• Together we will deliver innovative  solutions at scale to our customers!

Do work that matters:

Here, you’ll turn your passion into reality. In this role, you will contribute to lead, drive, design and implement cutting edge Data and AI solutions to accelerate Data Product capabilities to uplift Retail Bank Domain Data Landscape and excellence in our ambitious AI Journey.

You will work closely with key stakeholders and cross-functional teams across a specific Retail Bank domain, Data Community and wider Retail Banking Services domain to ensure best customer and business outcomes are achieved via Strategic Data Product Methodology.

See yourself in our team:

As we continue our pursuit of NPS +30 we need to transform the way we engage with our customers and support communities and people.  Retail Advanced Analytics and Data (RAAD) team works closely with the Retail Banking Services domain to enable best practices in Data, Advanced Analytics and AI.  

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.

If this sounds like you, apply now!