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

EPAM·Salary not specified

Primary stack

SnowflakeDatabricksAI

Nice to have's

Experience responding to complex RFPs with pricing or commercial modelsFamiliarity with data science and machine learning concepts and common use casesExperience building reusable consulting assets such as reference architectures and accelerators

Job description

About the Position

We are seeking a Manager, Data Analytics Consulting in Singapore. You will shape data and AI solutions from discovery to proposal, translating business goals into cloud and modern data platforms. Partner with sales and delivery teams to run workshops, build architectures and tell clear value stories that win work and set teams up to deliver.

Responsibilities

  • 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

Requirements

  • 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

We Offer

By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 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.

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