Role summary by JobGrid
Sr. Director, Product Management - CMC at valgenesis in India, on-site. JobGrid presents the normalized role facts from the source payload in English, with fresh source checks and a direct application route to the employer's public page.
- On-site role in India for Sr. Director, Product Management - CMC at valgenesis.
- Source posted on 2026-06-05 and last checked on 2026-06-06.
- Output language is English; JobGrid keeps the role facts within the structured source payload.
- No salary, seniority, employment-type, or category value is provided in the payload, so JobGrid does not add missing classification details beyond the available facts or the public
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.
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.