S&C GN - TS&T - Data & Analytics - Consultant
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Practice Overview – Technology Consulting
Career Levels: Analyst / Consultant / Manager
Travel Requirement: Project-dependent; may range from 0–100%
Key Responsibilities
• Design and support implementation of cloud-enabled enterprise architectures, including applications, infrastructure, and operating models
• Drive IT and digital transformation initiatives by defining current-to-future state roadmaps and transition strategies
• Contribute to enterprise architecture across business, application, data, and integration domains
• Support development of cloud migration strategies, including roadmap planning and execution approaches
• Design and advise on scalable data platforms (e.g. data lakes, data warehouses) leveraging leading cloud technologies
• Collaborate with cross-functional teams to deliver integrated solutions across cloud, data, cybersecurity, and application domains
• Participate in client presentations and proposal discussions, effectively communicating architecture, strategy, and transformation value
• Support capability building by driving adoption of new technologies, tools, and innovative delivery approaches
• Contribute to organizational change initiatives, ensuring readiness for new processes, technologies, and operating models
• Provide thought leadership and guidance to teams, contributing to development of reusable assets, frameworks, and offerings
Core Skills & Capabilities
• Expertise in data and analytics platforms, including data integration and cloud-based data architectures
• Ability to articulate target-state architectures and transformation journeys to both technical and business stakeholders
• Experience working in agile and transformation delivery environments
• Strong communication, storytelling, and stakeholder engagement skills
• Ability to work effectively in cross-functional and geographically distributed teams
Required Qualifications
• Relevant certification in data or cloud platforms (e.g. DAMA, Azure Data Architecture, AWS Data Analytics, or Google Cloud Data Analytics)
• Strong foundation in data architecture, data governance, and information management principles
• Proven analytical and problem-solving skills, with ability to translate business needs into data and technology solutions
• Excellent communication and presentation skills, with ability to engage both technical and business stakeholders
Experience
• Exposure to modern data ecosystems, including data modernization, data platforms, and data operating models across cloud environments
• Understanding of data security, information management, and regulatory considerations within enterprise settings
• Industry experience in one or more sectors such as Financial Services, Retail, Telecommunications, Life Sciences, or equivalent domains is advantageous
Core Competencies (Archetypes)
Data Subject Matter Expert (SME)
• Strong understanding of data strategy, data operating models, and transformation change management
• Knowledge of data modelling techniques and enterprise data management practices
Data on Cloud Architect
• Strong understanding of big data technologies and cloud-native data services
• Exposure to designing scalable data lake and data warehouse solutions on platforms such as AWS, Azure, GCP, or similar
Data Strategy & Advisory
• Understanding of data governance frameworks, data operating models, and data architecture strategy
• Ability to align data strategy with business priorities and transformation objectives
Data Transformation Lead
• Experience supporting workshops, stakeholder alignment, and transformation planning activities
• Exposure to value realization approaches and program delivery support within data transformation initiatives
Kuala Lumpur
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