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

Domain Expertise : Strong understanding of pharma functions such as R&D, clinical trials, regulatory affairs, pharmacovigilance, or sales analytics.

AI / Data Experience : Proven background in AI, ML, or data analytics-based project environments.

Productization Skills : Experience supporting the journey from concept to deployable AI product — including feature definition and user adoption strategies.

Client Management : Excellent communication and presentation skills with experience handling client interactions independently.

Analytical Skills : Strong data interpretation, critical thinking, and decision-making abilities.

Team Management : Ability to coordinate with technical and business teams to ensure timely delivery.

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.