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Specialized senior pharma-AI product role reduces candidate pool, but Tier‑1 brand and Bangalore metro increase competition.
Requires deep CDMO manufacturing and GxP expertise, making backgrounds outside life sciences less transferable.
Mandatory 10+ years in regulated pharma manufacturing plus GxP and AI product experience creates strict shortlisting filters.
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Lead identification, prioritization, and delivery of AI-enabled digital products across global CDMO pharmaceutical manufacturing network.
Own product vision, roadmap, backlog, and ensure delivery of scalable, compliant AI solutions improving manufacturing efficiency, quality, compliance, and customer outcomes.
Act as strategic bridge among manufacturing sites, domain experts, Digital Technology, Data Science, and Engineering teams to drive AI opportunities and digital transformation initiatives.
Bachelor's degree in Engineering, Life Sciences, Computer Science, Pharmaceutical Sciences, or related discipline; Advanced degree preferred.
Minimum 10 years experience in pharmaceutical, biotechnology, or CDMO manufacturing environments.
Proven experience as Technical Product Owner, Digital Transformation Lead, Manufacturing Consultant, Product Manager, AI Program Lead, or Digital Manufacturing Leader.
Strong knowledge of pharmaceutical manufacturing operations and GxP compliance; experience with MES, LIMS, QMS, SAP ERP, EBR, and regulatory frameworks such as GMP, GAMP 5, 21 CFR Part 11, EU Annex 11.
Experienced in managing end-to-end AI digital product delivery and lifecycle in regulated pharmaceutical manufacturing environments.
Skilled in collaborating cross-functionally with clinical, regulatory, data science, engineering, and manufacturing stakeholders.
Proven ability to translate complex manufacturing challenges into compliant AI-driven digital solutions driving operational excellence and regulatory adherence.