Lead Business Consultant - Data Architect
Posted 6 hours 20 minutes ago by Swift Software
Locations: Kuala Lumpur, Malaysia; London, United Kingdom
Posted on: Today
Job Requisition ID: 4
About the RoleTo 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.
- 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.
- 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.
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