Lead Business Consultant - Data Architect

Lead Business Consultant - Data Architect

Locations: Kuala Lumpur, Malaysia; London, United Kingdom

Posted on: Today

Job Requisition ID: 4

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.
• 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.

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.
• 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 databases preferred.
• Good experience in structured data engineering techniques and with knowledge of Atlassian tools (JIRA, Confluence) is preferred.
• Knowledge of Python programming using Jupyter (IDE) will be an added advantage.

What we offer

We put you in control of your 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 are creating an environment of unique individuals - like you - with different perspectives on the financial industry and the world.

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