Description
We are seeking a Vice President - Data Architect to play a key part in shaping and evolving our data architecture strategy. You will help enhance our trading applications across the organisation, enabling consistency, scalability, and better decision making across teams.
Purpose of the role As a Vice President - Data Architect, you will design, implement, and maintain conceptual, logical, and physical data models that meet business data/process and technology requirements. You will use designs and data strategies across a wide selection of platforms.
Accountabilities
- Analyse and document business requirements to translate them into data models aligned with organisational goals.
- Develop and maintain data dictionaries and glossaries to define data elements and their usage.
- Analyse and monitor data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
- Define strategic architecture and select products.
- Produce logical designs in relevant subject areas, showing processes, objects, data flows, inputs, stored data, and outputs.
- Implement architectures and resolve design-related issues.
- Define and document data architecture standards, principles, and strategies.
Vice President Expectations
- Contribute to or set strategy, drive requirements, and make recommendations for change.
- Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
- Demonstrate leadership and accountability for managing risk and strengthening controls.
- Collaborate with other areas of work to keep up to speed with business activity and strategies.
- Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives.
Requirements
- Experience in Investment Banking, including Financial Markets, Expertise.
- Proven experience designing and driving adoption of unified data models.
- Deep expertise in data architecture disciplines, including data flow design, logical and physical data modelling, and translating business and data requirements into scalable solutions.
- Ability to work closely with engineering teams to deliver architectural outcomes.
- Strong stakeholder management skills, including engaging with business and technical teams.