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Strong employer brand, generic Product Manager title, mid-level experience, and Hyderabad metro increase competition.
Pharma commercial domain and enterprise AI platform focus make skills less transferable across industries.
Explicit multi-year experience ranges and pharma AI/platform requirements make shortlisting stringent.
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Own end-to-end execution and scaling of key components of Neural Nexus AI platform roadmap, delivering production-ready, scalable enterprise AI solutions.
Lead development and scaling of major platform experiences (e.g., Executive Command Center, Analytics Workspaces) with focus on usability, performance, and broad adoption.
Drive integration with enterprise data systems, AI/ML models, and promote modular reusable components within a global delivery model, coordinating cross-functional teams.
Bachelor’s degree in AI/ML, Data Science, Computer Science, Analytics, Engineering, or related discipline.
5+ years experience in Pharma/Biotech commercial operations, analytics, and reporting.
2–3 years experience in analytics, data, AI/ML, or technology delivery roles.
5-8 years experience in digital platform product management, AI/ML-driven solutions, or enterprise digital product development.
Proven track record in executing and scaling AI or digital platform products from POC to enterprise rollout (0→1 and 1→N phases).
Strong understanding and experience with Generative AI/LLM-based applications and agentic workflows, working closely with engineering and data science teams.
Experienced in global delivery models, with ability to translate business requirements into execution plans and manage cross-functional stakeholders for measurable business impact.