Manager, Data Analytics Consulting (Pre-Sales, Data and GenAI)

About EPAM EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers. You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the Skills Future Employers Awards 2022 forour efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here. Why EPAM? • By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023 . • Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters. • You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices. • We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey. • At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us. What You’ll Do · Partner with sales, delivery and SMEs to connect client goals to data and AI solutions · Own the pre-sales cycle: qualification, discovery, solution design, demos, proposals and presentations · Lead client workshops to capture business objectives, success metrics, constraints and requirements · Design end-to-end data architectures across cloud platforms, integration, analytics and machine learning use cases · Create compelling value propositions, estimates and commercial inputs for proposals and RFPs · Advise clients on data strategy, operating model and roadmaps to support measurable outcomes · Build reusable assets such as reference architectures, accelerators and proposal content · Mentor teammates through knowledge sharing, reviews and best practice adoption What Will Make You Shine · Experience owning pre-sales for data, analytics, cloud or AI engagements including discovery and solutioning · Knowledge of data architecture including ingestion, transformation, modeling, governance and security concepts · Hands-on exposure to cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) · Experience with modern data platforms such as Databricks or Snowflake · Familiarity with legacy data warehouse and integration tooling (Oracle, IBM Db2, Informatica, SQL Server Integration Services (SSIS)) · Strength in stakeholder management with confidence presenting to senior client audiences · Clear communication and the ability to translate technical options into business value and trade-offs · Proven ability to scope work including assumptions, risks, dependencies and delivery approach Nice to Have · Experience responding to complex RFPs with pricing or commercial models · Familiarity with data science and machine learning concepts and common use cases · Experience building reusable consulting assets such as reference architectures and accelerators