Presales Solution Consultant – Data and AI

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Extensive experience in presales, solution architecture, or consulting focused on Data/AI technologies and related business use cases
• Strong technical knowledge of data platforms such as Databricks, Snowflake, AWS/Azure/GCP Data Services, ETL processes, data modeling, BI tools, and data visualization frameworks like Power BI and Tableau
• Familiarity with data science techniques and the ability to analyze client needs to align with technical solutions
• Excellent communication and storytelling skills, capable of translating complex technical concepts into clear, client-friendly narratives
• Proven ability to engage with senior stakeholders and deliver impactful presentations or pitches
• Experience creating detailed proposals, RFP responses, and pricing/engagement models for data-related projects
• Understanding of strategic consulting principles with the ability to develop future-state recommendations and roadmaps
• Strong organizational, leadership, and project scoping skills, able to manage complex tasks in fast-paced environments
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or related fields, or equivalent professional experience
• Excellent English communication skills (B2)

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

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