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Medium — strong Pfizer brand and Mumbai metro increase competition, but seniority and pharmaceutical specialization narrow the pool.
High — role requires pharmaceutical clinical and scientific data experience, reducing cross-industry transferability.
High — explicit 9+ years requirement plus mandatory pharmaceutical clinical/scientific data and technical database expertise.
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Lead and manage complex projects focused on building and maintaining database management systems with emphasis on pharmaceutical clinical and scientific data.
Design and develop AI-ready data products leveraging AI data engineering techniques, and execute technology-focused Proof of Concepts in collaboration with digital platform and business teams.
Guide business stakeholders on prioritization, identify opportunities for synergy, and ensure successful project outcomes through effective plan management.
Bachelor's degree (BA/BS) or MBA/MS with 9+ years of relevant experience; or PhD/JD with 3+ years; or MD/DVM with any years of experience.
Proven expertise managing pharmaceutical clinical and scientific data.
Experience with database modeling and design, relational database architecture, metadata and repository creation, and configuration management.
Proficiency in data mapping, data mining, data transformation, and embedding algorithms into production applications.
Experienced in complex project leadership within pharmaceutical data domains with technical hands-on background in database systems design and AI data engineering.
Able to collaborate effectively with digital platform teams and business stakeholders to deliver technology-driven data solutions and AI products.
Possesses ability to influence peers and develop teams, with a combination of technical and management education or consulting experience as an advantage.