Senior Manager, Data Consultant
Join EPAM Malaysia as a Senior Manager, Data Consultant, 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
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
