Key Responsibilities:

- Be part of the Data Architecture team to define and manage Data models used to implement solutions to automate F2B business processes and controls

- Ensure the models follows bank's data modelling standards and principles and influence them as necessary

- Actively partner with various functional leads & teams to socialize the data models towards adoption and execution of front-to-back solutions

Skills and Experience:

- 10+ year in financial services, preferably Strategy and solutions in Corporate and Investment Banking domain

- Strong Knowledge of transaction banking domain process and controls for banking & trading business to drive conversation with business SMEs. Experience in developing models for transacting banking products are preferable.

- Well-developed business requirements analysis skills, including good communication abilities (both speaking and listening), influencing and stakeholder management (all levels up to managing director)

- Can partner with Technology and business to understand current issues and articulate recommendations and solutions

- Experience with working in enterprise agile environment in a matrix organization

- Critical problem-solving skills, able to think tactically and strategically

- Strong design experience and defining solutions.

- Knowledge of banking industry data models/best practices a plus

- Consolidates process and data and existing architecture to drive recommendations and solutions.

- Ability to build conceptual, logical and physical data model is required

- Understanding of enterprise data modelling standards and patterns

- Data management and governance experience - setting up and managing working groups, defining and enforcing data ownership, defining and enforcing data maintenance plans

- Database design and report construction - Strong Data analysis skills, SQL experience.

- Data architecture experience; specifically designing and implementing data pipelines and protocol formats (Json schema knowledge essential) in enterprise system architecture.

- Basic understanding of Big Data patterns for usage in Analytics and Cloud adoption

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