Senior Manager, GenAI & Data Transformation (ICDC)

Deloitte Southeast Asia; Kuala Lumpur; Sur place; MYR 300 000 - 600 000; Plein temps

Résumé du poste

Deloitte Southeast Asia is seeking a Senior Manager in the Innovation Cloud Development Centre to lead AI transformation programs across industries. You will guide teams delivering GenAI-driven enterprise solutions, data readiness, governance, and responsible AI implementations using top cloud platforms.

You will work with clients on data governance, model deployment, and enterprise-scale adoption, ensuring secure and ethical AI delivery and strong stakeholder collaboration across regions.

Qualifications

• Honors degree in CS, software engineering, statistics or mathematics.
• Extensive consulting or industry experience, preferably with a Big 4 or multinational firm.
• Experience leading AI transformation programs and data governance initiatives.
• Strong ability to engage senior business and IT stakeholders.

Responsabilités

• Lead multidisciplinary teams delivering AI transformation programs with GenAI and AI agents.
• Design and scale enterprise GenAI solutions for knowledge, data, and customer experiences.
• Oversee data readiness, governance, and responsible AI practices across engagements.
• Partner with clients to drive secure, scalable, and ethical AI adoption.

Connaissances

Leadership

AI Transformation

Stakeholder Management

Team Leadership

Strategic Thinking

Formation

Honors degree in CS/Software Eng/Stats/Math

Outils

OpenAI/Azure OpenAI

Google Vertex AI

AWS SageMaker/Sagemaker Pipelines

LangChain

Databricks

Snowflake

BigQuery

Power BI

MLflow

Azure ML

Vertex AI Pipelines

Delta Lake

Description du poste

Deloitte Southeast Asia is seeking a Senior Manager in the Innovation Cloud Development Centre to lead AI transformation programs across industries. You will guide teams delivering GenAI-driven enterprise solutions, data readiness, governance, and responsible AI implementations using top cloud platforms.

You will work with clients on data governance, model deployment, and enterprise-scale adoption, ensuring secure and ethical AI delivery and strong stakeholder collaboration across regions.