About the Role

To provide technical/business leadership in the translation of customer requirements into technical specifications for large size/complexity/system risk projects ensuring customers' business problems are solved. To contribute to the divisional strategy by integrating a broad range of ideas regarding systems requirements and business needs.

Key Responsibilities:

Translate requirements into detailed data models by taking data architecture design and implementation roadmap into account. Perform feasibility analysis with technical counterparts based with thorough understanding of the high-level data model implementation, data collection tools and data distribution systems. Manage data collection teams. Define their KPIs and evaluate them periodically. Derive from the business data requirements the data management processes. Train and coach, the data teams applying the data management processes. Motivate the remote data teams by relating their work to the team’s objectives, customer benefits and SWIFT’s business. Clearly document the requirement specifications, data models, data definitions, data import specifications for IT, data management processes for the data team, use cases, exceptions, test/review, and acceptance criteria, etc... Act as the data expert and support your peers and internal and external customers. Convey the information to the rest of the team through presentations or document walkthroughs. Understand business data trends in own area of responsibility and apply this knowledge to bring solutions to the end users. Assist in explaining the implementation approach and timeline to the business. Work in a scrum team respecting timing and scheduling estimates, propose corrective actions when necessary. Working in a scrum team means striving to maximum flexibility, helping colleagues when needed.

What to expect:

Strong analytical, communication and presentation skills, with excellent English, both written and spoken. Excellent team player. Influencing others with and without formal authority. Well-structured and organized. Ability to manage remote teams through objectives, targets, and evaluations. Establish course of actions for self and others to ensure that work is completed with the triple constraint of quality, time, and cost (e.g. quality to be measured by early adopter satisfaction on pilot). Ability to be patient with others while working under pressure. Ability to prioritize and focus on the most important issues at hand. Ability to master complexity by a structured break-down. Understanding of abstract concepts and structured models and ability to apply them in imperfect reality. Willingness to build up thorough knowledge of the data content. Proactivity and drive for continuous improvement.

What will make you successful:

University degree in Data Science, Computer Science, Information Systems, or a related field; or equivalent work experience. Master’s degree an asset. Typically requires 6 to 10 years’ experience, preferably in similar roles and/or industries. 2+ years in data engineering or 5+ years of IT requirements engineering experience is required, with additional experience in data modelling, software and testing, design or architecture of data bases preferred, or equally through work experience in a payment processing type of environment. Good experience in structured data engineering techniques (data modelling, data normalisation, state transition diagrams, regular expressions), and with knowledge of Atlassian tools (JIRA, Confluence) is preferred. Knows Python programming using Jupyter (IDE) will be an added advantage.

What we offer

We put you in control of career

We give you a competitive package

We help you perform at your best

We help you make a difference

We give you the freedom to be yourself

We give you the freedom to be yourself. We are creating an environment of unique individuals – like you – with different perspectives on the financial industry and the world. An environment in which everyone’s voice counts and where you can reach your full potential regardless ofage, background, culture, colour, disability, gender, nationality, race, religion, or veteran/military status.