Presales Business Analyst - Artificial Intelligence/Machine Learning (9-15 yrs)

Job Title : Business Analyst (Pre-Sales) - AI/ML

What you will do in this role :

- Act as a key bridge between business stakeholders and technical teams for AI/ML and custom software solutions.

- Work closely with clients to gather requirements, define business needs, and document functional and technical specifications.

- Lead pre-sales activities, including preparing proposals, presentations, RFP responses, and proof of concepts (PoCs).

- Collaborate with sales and technical teams to develop AI/ML-driven solutions that align with business objectives.

- Conduct market research, competitor analysis, and feasibility studies for AI/ML and custom application projects.

- Assist in defining solution architecture, pricing models, and go-to-market strategies.

- Develop business cases, ROI analysis, and solution roadmaps to support sales teams.

- Engage with clients for demos, technical discussions, and requirement clarifications.

- Work with product and development teams to ensure alignment between business needs and technical feasibility.

- Stay updated on AI/ML advancements, industry trends, and emerging technologies to enhance solution offerings.

- Overall 10+ years of experience as a Business Analyst.

- Minimum 4+ years of experience in Pre-Sales for AI/ML solutions-custom applications.

Technical & Business Skills :

- Impeccable communication skills in English

- Has consulted US businesses

- Understands ML/AI universe inside out - tracks and tinkers with latest developments in AI universe

- Has hands-on AI dev experience

- Should be comfortable in discussing technical-level problems with the customers and the internal team

- Razor-sharp focus on business use cases

- Ability to converse with customers to get them to open up about their challenges, aspirations, and priorities

- Ability to research and develop a solution outline

- Ability to identify and articulate the value proposition of the proposed solution

- Ability to create implementation plans with an Agile SDLC