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Strong employer brand, metro location, mid-level generalist product title, and 4–7 years amplify competition.
Requires pharma domain expertise, GxP/regulatory knowledge and clinical data experience, limiting cross-industry transferability.
Explicit 4–7 years requirement plus mandatory pharma background and regulatory compliance increases filter strictness.
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Manage product backlog and prioritize with input from stakeholders and development team to maximize product value and delivery efficiency.
Serve as primary liaison across cross-functional teams ensuring clear communication and alignment on KPIs and project success metrics.
Collaborate to identify and implement AI/ML solutions compliant with regulatory standards to optimize business operations in R&D business insights and technology.
4-7 years of hands-on experience in business analysis, process mapping, solution development/delivery for AI & ML technologies in automation.
Pharma domain knowledge and experience with drug development processes from SRA to protocol design.
Experience with agile development methodologies and maintaining product backlog; knowledge of SDLC processes mandatory.
Work Experience Required: 4-7 years in relevant field as specified. Notice period: Not explicitly mentioned in the JD.
Experienced in cross-functional stakeholder management and translating complex requirements for agile development teams in regulated pharma environment.
Strong expertise in generative AI, real-world data analysis, digital analytics, and visualization tools (e.g., MS Visio, Lucidchart).
Capable of aligning AI solution developments with business objectives and regulatory compliance, driving ROI and strategic impact in life sciences industry.