Presales Solutions Consultant (Data/AI)

RESPONSIBILITIES 

  • Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our 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 our 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.

 

 

QUALIFICATIONS  

  • Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
  • Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)
  • Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions
  • Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
  • Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches
  • Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
  • Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
  • Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
  • Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
  • Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

Required skills experience

Presales 2 years
Solutions Architecture 3 years
Cloud data services 5 years
Big Data 5 years

Required languages

English B2 - Upper Intermediate
Databricks, Snowflake, Data Governance
Published 16 December 2025 · Updated 5 January
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