[Synapxe] Solutions Architect (Data & AI)

Location: Singapore
Contact email: careersrise@bcg.com
Published: 12 days ago
Startdate: 01 June 2024 - 01 June 2024

​Solutions Architect (Data & AI)

Date:29 May 2024



Position Overview

We’re looking for a highly-driven and motivated Solution Architects (Data Analytics) for our Data aNalytics & Ai (DNA) team in Singapore. If you are looking for a dynamic environment and to work with projects that use data to make a difference in our public healthcare system, this is the right place for you.

Role & Responsibilities

  • Work on analysis of health care information obtained various source systems.

  • Provide input to the development, maintenance and promulgation of the blue prints, roadmaps and reference architectures for Data Analytics infrastructure and services.

  • Perform analysis of new requirements and develop solutions, and manage solution delivery through acquisition or change control.

  • Revise existing design specifications and development of new specifications.

  • Manage the development of queries to satisfy functional requirements.

  • Manage the development of analytical artefacts, including dashboards, reports and graphs as required.

  • Provide advice on high-level Business Intelligence, Data warehouse, Data Lake or Advanced Analytics solution designs.

  • Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.

  • Proactively achieve the IT strategic, broader business and IT objectives through influencing stakeholder outcomes.

  • Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.


  • Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.

  • Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.

  • Experience with databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum); data repository design (e.g. operational data stores, dimensional data stores, data marts); data interrogation techniques (e.g. SQL, NoSQL); structured and unstructured data analytics; statistical computing programming language (e.g. R, Python); data quality tools and processes; data transformation and terminology equivalence mapping.

  • Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).

  • Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).

  • The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.

  • Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

  • Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

  • Cloud Exposure; Certification in AWS Cloud Practitioner or AWS Architect.

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