Data Engineer/Delivery Head

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of  Delivery Head.

In this role, you will:

•  Accountable for ensuring the end-to-end data strategy for the value stream is documented, aligned to Wholesale and HSBC ESG data strategy, and communicated to the key stakeholders and sub-value streams.
•  Accountable for documenting and ensuring data flows and data lineage for the areas are documented and maintained to ensure end-to-end data integrity.\u003C/li>
•  Accountable for ensuring projects are complying with the recommended strategy, and continuous interactions with the different implementation teams to remove / clarify any data blockers during their different phases, e.g., data analysis, data modelling or solution architecture.
• Ensure the projects are aligned with Wholesale data policies, methodologies, systems, and processes to ensure data integrity.
• Additionally, this job will engage in initiatives to assist businesses in reducing data risk and deliver savings by facilitating better utilization of data assets.
• Ensure that business intelligence capabilities are developed and maintained to allow the value stream to maximize the benefit of data assets.
• Ensure the programme is abreast of new developments and practices Wholesale and HSBC DAO are recommending and developing.
• Oversee investigations and root cause analyses to identify data integrity issues.
• Able to make recommendations and practical decisions for data matters.