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I&D - Principal Data & AI Solution SME - D2/ E1

Capgemini

Capgemini

Software Engineering, Data Science
Malaysia
Posted on May 9, 2025

Job Description

Job Title: Principal Data & AI Solution SME
Location: Malaysia
Role Overview: We are seeking a highly experienced and dynamic Principal Data & AI Solution SME to join our team in Malaysia. The ideal candidate will have a strong background in data and AI solutions, with proven expertise in sales and delivery activities across Asia. This role requires a strategic thinker who can lead complex projects, engage with senior stakeholders, and drive business growth through innovative data and AI solutions.
Key Responsibilities:
Solution Architecture and Implementation:
Design and implement scalable data and AI solutions for large enterprise clients.
Lead the development and deployment of data lakes, data warehouses, BI, analytics, ML, and MLOps platforms.
Ensure solutions meet data governance, security, and compliance standards.
Sales and Business Development:
Develop and maintain strong client relationships with senior and C-level executives.
Identify new business opportunities and drive sales initiatives to achieve revenue targets.
Respond to RFPs, shape deals, and conduct due diligence and risk assessments.
Project Management and Delivery:
Manage end-to-end project lifecycle, including initiation, planning, execution, and closure.
Coordinate with geographically dispersed teams to ensure timely and successful delivery of projects.
Maintain high levels of client satisfaction through effective stakeholder management.
Client Engagement and Advisory:
Act as a trusted advisor to clients, providing strategic insights and recommendations.
Facilitate workshops and discussions to align technology solutions with business objectives.
Influence product roadmaps and drive product adoption through feedback loops.
Team Leadership and Development:
Hire, mentor, and manage a team of data and AI professionals.
Foster a collaborative and innovative work environment.
Provide guidance and support to team members in their professional development.
Qualifications:
Around 20 years of experience in the IT industry, with a focus on data and AI solutions.
Proven track record in solution architecture, sales, and delivery.
Extensive experience with Azure, AWS, and GCP data platforms and technologies.
Strong understanding of data governance, security, and compliance.
Excellent communication, leadership, and presentation skills.
Ability to manage multiple projects and teams across different geographies.
Relevant certifications in data and AI technologies (e.g., Microsoft Certified Azure Solutions Architect, AWS Certified Data Analytics).
Preferred Experience:
Experience working with large enterprise clients in various industry verticals.
Familiarity with Agile processes and project management methodologies.
Awards and recognitions in technology solutions and mentorship.
Education:
Master's Degree in Computer Applications
Personal Attributes:
Self-motivated, quick learner, and adaptable to new technologies and environments.
Strong business acumen and ability to develop actionable insights.
Excellent problem-solving skills and attention to detail.

Job Description - Grade Specific

It is a leadership position that involves overseeing the data engineering function within an organization. The role is responsible for managing a team of data engineers and driving the strategic direction of data engineering initiatives. It encompasses a combination of technical expertise, managerial skills, and strategic decision-making.

Skills (competencies)

Ab Initio
Agile (Software Development Framework)
Apache Hadoop
AWS Airflow
AWS Athena
AWS Code Pipeline
AWS EFS
AWS EMR
AWS Redshift
AWS S3
Azure ADLS Gen2
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Event Hub
Azure Stream Analytics
Azure Sunapse
Bitbucket
Change Management
Client Centricity
Collaboration
Continuous Integration and Continuous Delivery (CI/CD)
Data Architecture Patterns
Data Format Analysis
Data Governance
Data Modeling
Data Validation
Data Vault Modeling
Database Schema Design
Decision-Making
DevOps
Dimensional Modeling
GCP Big Table
GCP BigQuery
GCP Cloud Storage
GCP DataFlow
GCP DataProc
Git
Google Big Tabel
Google Data Proc
Greenplum
HQL
IBM Data Stage
IBM DB2
Industry Standard Data Modeling (FSLDM)
Industry Standard Data Modeling (IBM FSDM))
Influencing
Informatica IICS
Inmon methodology
JavaScript
Jenkins
Kimball
Linux - Redhat
Negotiation
Netezza
NewSQL
Oracle Exadata
Performance Tuning
Perl
Platform Update Management
Project Management
PySpark
Python
R
RDD Optimization
SantOs
SaS
Scala Spark
Shell Script
Snowflake
SPARK
SPARK Code Optimization
SQL
Stakeholder Management
Sun Solaris
Synapse
Talend
Teradata
Time Management
Ubuntu
Vendor Management