Data & Analytics Consulting Manager

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 Po. Cs 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