▷ Urgent! Technical Business Analyst (AI Projects) - Pharmaceutical Domain

Position : Technical Business Analyst (AI Projects) for Pharmaceutical Domain

Location : Madhapur, Hyderabad

Experience : 3–5 years

Employment Type : Full-time

Mandatory Skill : Strong Knowledge of the Pharmaceutical Domain

About the Company

Multiplier AI is a fast-growing organization working with global top 20 pharma clients, including Merck, Eli Lilly, Abbott, Cipla, Sun Pharma, Glenmark, and Galderma. As we move toward our IPO, we are building a high-performance team to accelerate our AI product initiatives and drive operational excellence.

About the Role

We are seeking a Technical Business Analyst (AI Projects) with strong pharma domain expertise and a passion for AI-driven innovation. This role requires a professional who can bridge business needs, data insights, and product outcomes — leading the requirement gathering, productization approach, and client engagement processes for AI solutions.

Key Responsibilities

• Lead requirement gathering sessions, stakeholder interviews, and workshops to translate business objectives into detailed AI / data product requirements.
• Support productization efforts — shaping ideas into scalable, repeatable AI solutions for pharma clients.
• Collaborate with data science, AI engineering, and product teams to align business needs with technical outcomes.
• Contribute to defining the productization roadmap, feature prioritization, and go-to-market strategy for AI offerings.
• Manage small cross-functional teams and coordinate project deliverables, timelines, and quality.
• Analyze large pharmaceutical datasets to derive actionable insights and performance metrics.
• Facilitate client demonstrations, requirement validation, and UAT sessions.
• Identify opportunities to standardize and convert project outputs into reusable AI products.

Required Skills & Experience

Tools : Working knowledge of Power BI / Tableau, Excel, SQL, JIRA / Confluence, and understanding of AI / ML workflows.

Educational Qualifications

B.Tech (Biotechnology), M.Tech (Biotechnology), or B.Pharmacy from a recognized institution.

Candidates must have at least 65% or above throughout their academic background.

Preferred Qualifications

Exposure to AI / ML applications in pharmaceutical R&D or commercial operations.

Experience in Agile / Scrum environments and product lifecycle management.

Why Join Us

Be part of cutting-edge AI product initiatives transforming the pharmaceutical ecosystem.

Work closely with cross-functional experts and global pharma leaders.

Contribute to the productization of AI innovations in a rapidly scaling, IPO-ready organization.

Direct exposure to high-impact global projects and leadership growth opportunities.