Key Responsibilities
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, including inputs into the Smart GxP™ launch.
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, ensuring we build scalable, market-representative features.
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.
Portfolio & Product Strategy Leadership
Product Discovery & Market Insight
Team Leadership & Cross-Functional Influence
What You Bring
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.
Practical use of manufacturing data under regulatory constraints (explainability, auditability, traceability).
Proven ability to lead product discovery and roadmap strategy tied to workflows, value, and revenue outcomes.
Comfort operating in ambiguity, forming hypotheses, and driving evidence-based prioritization.
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.
Domain + Analytics Depth
Candidates must demonstrate 10+ years of hands-on experience across the areas below:
Advanced Analytics / Data Science in Manufacturing
CMC / QbD / CPV / PAT / Process Validation (GxP/GMP)
Product & Strategic Leadership
Skills Required
- 10+ years of hands-on experience in advanced analytics/data science within life sciences manufacturing, bioprocessing, or industrial process settings
- Real-world modeling experience including MVDA/chemometrics, predictive/time-series, and hybrid modeling
- Familiarity with tools such as SIMCA, JMP, MODDE, Design Expert, Python, R, and MATLAB
- Deep familiarity with CMC, QbD, CPV, PAT, validation, and process monitoring frameworks (GxP/GMP)
- Practical experience using manufacturing data under regulatory constraints (explainability, auditability, traceability)
- Proven product leadership: drive discovery, roadmap strategy, business cases, and revenue-aligned prioritization
- Experience leading, coaching, and developing Product Managers and Product Owners
- Strong communication and ability to influence cross-functional teams and represent product externally at industry conferences and strategic accounts
- Comfort operating in ambiguity, forming hypotheses, and driving evidence-based prioritization
What We Do
ValGenesis delivers integrated and smart solutions that support the digital transformation of the life sciences industry. With a portfolio that covers the whole product lifecycle, ValGenesis has a digital or technical solution that brings value to each step of your validation and manufacturing processes and their related activities.
