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Strong employer brand, popular mid-level Product Manager role, and metro location drive high applicant competition.
Requires pharma domain expertise and regulated experience, making background fit highly industry-specific.
Explicit 4-7 years plus mandatory pharma domain and AI/ML experience create high filtering strictness.
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Lead collaboration between cross-functional teams and stakeholders ensuring clear communication and alignment on project KPIs and priorities.
Manage and prioritize the product backlog, guiding development teams to deliver AI and automation solutions effectively within regulatory and compliance frameworks.
Analyze complex data sets to generate insights, develop reports and dashboards, and support data-driven decision-making to optimize R&D business operations.
4-7 years of experience in business analysis, process mapping, and solution delivery related to AI/ML technologies and automation.
Pharma domain experience with knowledge of drug development processes and regulatory/compliance requirements (e.g., privacy regulations, GxP).
Familiarity with agile development methodologies and software development life cycle (SDLC).
Work Experience Required: 4-7 years as explicitly mentioned in the JD.
Experienced in managing AI-driven product solutions with strong understanding of generative AI concepts and technologies in the Life Sciences industry.
Skilled at coordinating between technical teams and stakeholders to deliver compliant, valuable products prioritizing business outcomes (ROI, KPIs).
Domain expertise in pharma R&D workflows and regulatory landscape, with ability to translate complex data into actionable business insights and guide agile development teams.