Senior Director, Product Management – CMC

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ValGenesis

501 - 1000 employees

☁️ SaaS

Life Sciences • SaaS

ValGenesis is a company specializing in digital validation lifecycle management solutions for the life sciences industry. Their platforms, such as VLMS and ValGenesis iRisk, provide comprehensive digital solutions for validation, risk management, and process optimization. These solutions are designed to enhance efficiency, ensure compliance, enforce standardization, and support digital transformation in manufacturing and corporate operations. ValGenesis facilitates a 100% paperless validation process, offering capabilities like electronic logbooks, process insight management, and quality risk management using digital twins and machine learning.

📋 Description

• Own the vision, strategy, and multi-year roadmap for ValGenesis' CMC / CPV / QbD / PAT analytics product portfolio • Drive product growth by identifying high-value market problems, defining the “why now,” and recommending prioritized bets • Shape platform strategy by defining how advanced analytics capabilities should evolve across suites and workflows • Lead structured discovery across customers, Customer Advisory Boards, regulatory signals, and competitive intelligence • Convert market needs into product opportunities with clear user outcomes, feasibility constraints, and business cases • Validate direction through prototypes, POCs, and customer feedback • Lead, coach, and develop a small team of Product Managers and Product Owners across CMC and CPV domains • Partner with Product Growth, Platform, Engineering, UX, Marketing, and Sales to ensure portfolio coherence and commercial impact • Represent ValGenesis externally at ISPE, PDA, AAPS, DIA, and with strategic accounts as the senior product voice for CMC and CPV

🎯 Requirements

• 10+ years of hands-on experience in Advanced Analytics / Data Science in Manufacturing • Real-world modeling experience in life sciences manufacturing, bioprocessing, or industrial process settings • Strong MVDA / chemometrics, predictive / time-series, and hybrid modeling skills • Familiarity with tools such as SIMCA, JMP, MODDE, Design Expert, and Python / R / MATLAB • Deep familiarity with QbD, CPV, PAT, validation, or process monitoring frameworks • Proven ability to lead product discovery and roadmap strategy tied to workflows, value, and revenue outcomes • Strong communication across PM, engineering, customer, and executive contexts • Experience influencing cross-functional teams without direct authority, and coaching PMs to higher standards of product judgment

🏖️ Benefits

• Equal-opportunity employer • Merit-based employment decisions • Supportive and collaborative work environment

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