Data Management Support - VP

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 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 Data Management Support - VP.

Principal responsibilities

• Incumbent will Develop centralise capability which can work with different business and functional teams across AM globally; Continually scrutinise and manage the quality of data with aim to continuous enhancement in DQ scores; Work with stakeholders to ensure they have the best quality data available for their needs, expanding coverage and meeting ever increasing complex requirements.
• Maintenance of daily logs, MI and consumer requirements library; Adherence to governance framework in all aspects of ESG Data Management i.e. data provider selection, issue management, escalation, delivery timelines and methodology outline
• The lead will cater to internal and external demands for ESG Data supporting client requirements, fund launches, investment function support and regulatory reporting.
• Manage requests from consumers for changes to data feeds, ensuring delivery in agreed timeline in collaboration with support and involved teams like IT, BT, Quant, Sales etc.
• Work alongside other Data Services to manage, maintain and improve BAU processes and collaborate to provide excellent support within SLA timeline for data queries across platforms.
• Effective relationship management with data providers and internal data consumers including third parties.
• Build and operate in co-ordination with multiple parties to ensure service delivery is achieved within agreed timeframe and optimum standards
• Ensure adoption of data quality and governance framework, implementation of rules and managing BAU effectively
• Accountability for monitoring the data integrity and timeliness in delivering to the Google Cloud Platform, incident handling and communication to consumers. Ensure communication between all parties is as robust as possible and responses to new requests are delivered on time.
• Open to adaption of new technologies within day to day operations to enhance overall outcome and delivery excellence