Senior Data Modeler

GCB 4

We are currently seeking a high calibre professional to join our team as a Senior Data Modeler. 

Our technology teams work closely with HSBC’s global businesses to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply and securely.

Working within CTO Data (CTOd) Architecture team, the Senior Data Modeller takes responsibility for the delivery of Data Modelling outcomes across the Reference Data Sub Value Stream (SVS), most notably the data design of the Customer Data Mastery Service (CDMS) strategic application. The job holder leads the design and development of Data Models, which are aligned with group standards, IT and business strategy, to meet business objectives and satisfy all relevant regulatory and operational risk controls.

In this role you will:

• Set the Reference Data SVS data modelling strategy and standards
• Define modelling principles (conceptual/logical/physical), naming conventions, data types, and patterns, aligned to enterprise modelling standards
• Own the delivery of CDMS data models
• Functional management of a team of between 5-10 data modellers
• Lead creation and maintenance of conceptual and logical models for the customer/party domain, ensure alignment to enterprise modelling standards
• Translate business needs into data structures
• Partner with Product Owners, SMEs, and analysts to capture requirements and turn them into entities, attributes, relationships, and rules. Clarify definitions and resolve ambiguity
• Ensure data quality and integrity by design
• Specify keys, constraints, validation rules, and referential integrity. Design for data quality controls and support reconciliation/audit needs
• Lead modelling reviews and governance forums
• Run design authorities / model review boards; approve changes and manage exceptions. Ensure models meet architectural, regulatory, and operational requirements
• Collaborate across engineering and architecture
• Work closely with our engineers, solution architects, and platform teams to ensure models are implementable and maintainable
• Manage change and impact analysis
• Assess downstream impacts of model changes (reports, interfaces, controls, regulatory outputs). Plan migrations, deprecations, and backward compatibility 

To be successful you will need:

Education

• Degree in Computer Science, Information Systems, Engineering, Mathematics, or similar
• Equivalent experience is often accepted where formal education isn’t available

Experience

• 8–12+ years in data management / data modelling / data architecture roles
• Proven leadership on large-scale programmes (multi-system, multi-team, regulated environments)
• Hands-on delivery across conceptual, logical, and physical modelling

Core technical qualifications / skills

• Strong command of modelling methods and patterns:
• 3NF, dimensional, Data Vault, and when to use each
• Deep understanding of:
• Relational design, normalisation/denormalisation trade-offs
• Master/reference data, metadata, lineage
• Data quality and integrity controls (keys, constraints, validation rules)
• Platform awareness:
• SQL and NoSQL databased technologies
• Basic understanding of streaming/event schemas (e.g., Kafka) and API data contracts

Tooling

• Data modelling tools such as ERwin, ER/Studio, Visual Paradigm, or equivalent
• Familiarity with data catalogues/glossaries (e.g., Collibra, Alation) is valued
• Version control and delivery discipline (e.g., Git, CI/CD concepts for data where applicable).

Business and domain capability

• Ability to translate business requirements into clear data definitions and structures.
• Experience in at least one banking domain, examples:
• Customer, Accounts, Payments, Credit/Risk, Financial Crime, Treasury, Regulatory reporting.

Leadership and ways of working

• Evidence of leading:
• Model governance/reviews, design authorities, and stakeholder sign-off
• Cross-team alignment and conflict resolution on definitions
• Strong communication skills: can explain trade-offs to both engineers and non-technical stakeholders.
• Comfortable in Agile delivery (backlog refinement, definition of done, iterative modelling).

Opening up a world of opportunity
http://www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

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