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Verified Job IT / Software / Data Analyst

AI Solutions Analyst (Pre-Sales & Proposals)

Hyderabad, Telangana
IT / Software / Data Analyst
#49262
Remote / WFH
techolution

Job Description

We are seeking a highly motivated AI Solutions Analyst to join our AI and Digital Transformation practice. This role offers a unique opportunity to work closely with Sales, AI Architects, Engineers, Product Leaders, and Business Stakeholders to develop compelling solution proposals for enterprise clients.

The ideal candidate is a strong communicator with excellent analytical and writing skills, a passion for emerging technologies, and the ability to translate business requirements into clear, structured, and persuasive proposals. This role serves as a bridge between business needs and AI-driven solutions, helping clients understand the value and impact of transformative technologies.

Role : AI Solutions Analyst (Pre-Sales & Proposals)

Location : Hyderabad (Hybrid)

Employment Type : FTE

No of Openings: 2

Work Timings: 2:00 PM to 11:00 PM IST

Responsibilities:
• Develop high-quality proposals, RFP/RFI responses, Statements of Work (SOWs), executive summaries, and client presentations.
• Collaborate with Sales, AI Architects, Engineering, Product, and Delivery teams to understand client requirements and define solution approaches.
• Translate discovery discussions and business requirements into well-structured solution proposals and engagement plans.
• Research AI, Generative AI, Cloud, Data Analytics, Automation, and Digital Transformation trends to support proposal development.
• Define project scope, assumptions, deliverables, timelines, engagement models, and success criteria.
• Articulate business value, ROI, operational efficiencies, and transformation outcomes for enterprise clients.
• Support effort estimation, commercial proposal preparation, pricing frameworks, and business case development.
• Identify proposal risks, dependencies, assumptions, and exclusions.
• Create executive-ready presentations and solution narratives tailored to client objectives.
• Maintain proposal repositories, reusable content libraries, case studies, and knowledge assets.
• Manage multiple proposal activities simultaneously while ensuring accuracy, consistency, and timely delivery.
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