Product Manager - Investigation management - data42

You are the Product Manager for Investigation Management in data42 at Novartis, responsible for driving the end-to-end product that facilitates teams in designing, executing, and learning from investigations across R&D. Your main focus will be on bringing together scientific questions, compliant data access, and guided workflows to accelerate evidence generation and portfolio decisions. **Key Responsibilities:** - Define and communicate the Investigation Management product vision and roadmap, balancing automation with user functionality, and release management. - Engage end users to gather requirements, validate personas, and prioritize features based on scientific impact and operational feasibility. - Lead cross-functional delivery to implement LLM-enabled capabilities for form completion, analogy-based scope suggestions, and similar-investigation recommendations. - Own the product lifecycle from ideation to launch and continuous improvement, evaluating data source alternatives and risks. - Establish and track product metrics related to investigation cycle-time, data readiness coverage, user satisfaction, and quality/traceability of findings. - Translate scientific workflows and trial risk management needs into intuitive, governed experiences and ensure compliant access to data. **Qualifications Required:** - Strategic and hands-on Product Manager with experience in defining product vision, strategy, and roadmap for workflow-heavy products. - Familiarity with data platforms, anonymization, RWD integration, and GenAI/LLM-assisted features in regulated settings. - Strong leadership skills to influence diverse stakeholders and align on requirements, along with scientific and data literacy to translate questions into data requirements. In terms of qualifications, you should have a Bachelors or Masters degree in Life Sciences, Computer Science, Engineering, or related field, along with at least 5 years of product management experience in data-driven or workflow-centric products. Exposure to pharma R&D or scientific data platforms is preferred, and you should have a track record of delivering complex, cross-functional products with a focus on data readiness, usability, and compliance. Strong analytical, problem-solving, communication, and stakeholder engagement skills are essential. If you are passionate about operationalizing investigation workflows at scale and thrive at the intersection of science, data, and technology, this role at Novartis may be the perfect fit for you.,