Technical Business Analyst
3 weeks ago
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.
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