The candidate should exhibit demonstrated experience working in a globally distributed team and in partnership with operations, product management/owners and technology teams
The candidate should be reference data SME and understand evolving business and technology landscape of processes, data and technologies used.
Knowledge and understanding of Payments applications (or one of the other transactional domain applications) from both functional and technical perspectives is essential.
Expertise in data modeling, understanding reference data trends and challenges Successful candidate must be able to demonstrate extensive experience in delivering technical reference and static data management solutions meeting business data needs.
Must have working knowledge in interfacing with IT teams with limited exposure to the business. This is primarily an IT role
Deep expertise in handling structured data and other (unstructured) data types
Experience working on large scale projects, enterprise data solutions with disparate sources to enable standardization & classification for data processing and consequent application development, including extensive practical skills in developing systems for static and reference data;
Excellent analytical and critical reasoning skills with a strong focus on execution
Proactive problem solver who operates effectively and independently, even in areas of uncertainty and ambiguity
Advanced knowledge of SQL, Java, and logical data modelling is required. Ideal candidate would be a technically aligned Data Architect
Excellent communication, negotiation, networking and influencing skills; excellent consumer relationship management skill with service-oriented mindset
Ability to work across multiple global business groups and domains; ability to work in fast-paced environment; possess excellent written & verbal communication skills.