Data Analytics & Platform Manager

Data Analytics & Platform Manager

About the Client

Our client is a large, highly established Malaysian conglomerate with a diversified business portfolio and a long-standing history of steady market expansion. Known for a stable work culture and strong employee retention, the organization's enterprise IT division is currently modernizing its data capability to support long-term growth across all operating companies.

Position Overview

• Role: Data Analytics & Platform Manager

• Location: KL, Malaysia

• Work Arrangement: 100% Onsite (Monday - Friday, Standard Business Hours)

• Employment Type: Permanent

• Remuneration: Open to discussion based on experience (Up to RM 15,000 - RM 17,000/month) + Competitive Bonus & Benefits

Role Summary

We are seeking an experienced Data Analytics & Platform Manager to take ownership of the Group's data ecosystem. This is a newly created leadership role within the Group HQ IT division.

You will lead, mentor, and build a growing data team (encompassing BI Developers, Data Engineers, and Data Analysts). You will serve as both a technical authority and strategic advisor-shaping how the group structures, governs, and utilizes data to drive enterprise value.

Key Responsibilities

• Strategy & Architecture: Define and execute the roadmap to transform unstructured data practices into a modernized, scalable enterprise data platform.

• Team Leadership & Hiring: Manage the existing data professionals and actively lead the headcount expansion for incoming technical hires.

• Platform Management: Oversee and optimize cloud data platforms (leveraging tools like Microsoft Fabric, Snowflake, or Azure Synapse).

• Data Governance & Engineering: Establish best practices for data modeling, ETL/ELT pipelines, data quality, and architecture across multiple business entities.

• Stakeholder Management: Articulate complex data strategies, roadmaps, and project execution plans clearly to senior IT leadership and executive management.

Requirements & Qualifications

• Experience: Strong background in Data Analytics, Data Engineering, or BI, with demonstrated experience leading or managing technical teams.

• Technical Proficiency:

  • Hands-on familiarity with modern cloud data tools (e.g., Microsoft Fabric, Snowflake, Azure Synapse, or Databricks).

  • Strong fundamentals in SQL, data architecture, data warehousing, and pipeline management.

• Soft Skills: Outstanding communication and presentation skills-must be able to articulate plans, methodologies, and business impacts clearly.

• Availability: Candidates with 1 to 2 months notice period are strongly preferred.