Data & Analytics Consulting Manager

EPAM Systems; Malaysia; On-site; MYR 180,000 - 280,000; Full time

Job summary

EPAM Malaysia is seeking a Data & Analytics Consulting Manager to bridge business needs with cutting-edge technology, delivering scalable data strategies and governance frameworks. You will partner with global teams and top clients to unlock actionable insights and drive data-driven decision making.

You will lead cross-functional teams, oversee pre-sales activities, and scale the Data & Analytics practice while ensuring security, compliance, and high-quality delivery across engagements.

Qualifications

• Proven experience delivering data-driven solutions in a professional services/consulting setting.
• Ability to translate business needs into data-driven solutions and roadmaps.
• Experience with data governance and security considerations.

Responsibilities

• Partner with stakeholders to identify high-value data opportunities and translate visions into data roadmaps.
• Lead technology transformations, PoCs and MVPs from strategy to execution.
• Manage project lifecycles to ensure on-time, high-quality delivery.
• Design and implement data governance, security standards and regulatory alignments.
• Cultivate client relationships to identify growth opportunities and ensure alignment.
• Lead pre-sales activities including RFPs, technical assessments, and proposals.

Skills

Data-driven solutions

Cross-functional leadership

Stakeholder management

Strategic thinking

English communication (B2+)

Problem solving

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, Business Analytics, Information Systems, Engineering, Mathematics, Statistics

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

Join EPAM Malaysia as a Data & Analytics Consulting Manager , where you’ll bridge the gap between business needs and cutting‑edge technology to deliver impactful Data & Analytics solutions. Partner with global teams and industry‑leading clients to design scalable data strategies, implement governance frameworks and unlock actionable insights. If you’re passionate about solving complex data challenges, enabling data‑driven decisions, and shaping the future of analytics, this is your opportunity to thrive and grow.

Responsibilities

• Partner with stakeholders to identify high‑value data opportunities and translate business visions into actionable solution roadmaps.
• Lead technology transformations from initial strategy through execution including the development of PoCs and MVPs.
• Manage project lifecycles including design sessions and retrospectives to ensure on‑time and high‑quality delivery.
• Design and implement robust data governance frameworks, security standards and technology assessments.
• Cultivate long‑term relationships with clients and partners to identify growth opportunities and ensure stakeholder alignment.
• Drive business growth by leading pre‑sales activities including RFP responses, technical assessments and proposal development.
• Partner with executive, sales and delivery leaders to scale the Data & Analytics practice and share subject matter expertise.

Requirements

• Proven experience delivering data‑driven solutions within a professional services or consulting environment.
• Proficiency across the data stack including Big Data, BI, Data Warehousing, Visualization and modern MLE/DSE workflows.
• Hands‑on experience with at least one major cloud provider (AWS, Azure or GCP).
• Strong understanding of access control (RBAC/ABAC) and regulatory frameworks such as GDPR, SOX or HIPAA.
• Ability to solve complex challenges by aligning technical architectures with overarching business objectives.
• Experience leading cross‑functional, distributed teams and managing high‑pressure engagements effectively.
• Exceptional ability to communicate technical concepts to non‑technical audiences in English (B2 level or higher).
• A passion for continuous learning and staying ahead of emerging trends in the data and analytics landscape.
• No visa sponsorship available.
• Nice to have: Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Analytics, Information Systems, Engineering, Mathematics, Statistics, or other related disciplines.
• Experience working on Databricks or Snowflake projects is an added advantage.