Product Manager – Investigation Management

Summary The vision of data42 is to inspire collaborative groundbreaking data and AI initiatives to reimagine drug discovery at Novartis and accelerate time to market ultimately transforming healthcare and improving lives As the Product Manager for Investigation Management in data42 you will drive the end-to-end product that enables teams to design execute and learn from investigations across R D bringing together scientific questions compliant data access and guided workflows You will ensure investigators can seamlessly browse relevant datasets compose investigation scopes complete forms and derive transparent reproducible findings accelerating evidence generation and portfolio decisions Join our team at data42 Major accountabilities Define and communicate the Investigation Management product vision and roadmap balancing automation with user functionality and release management e g Investigation request form UX improvements LLM-assisted suggestions Engage end users researchers GPHs data scientists data engineers data explorers to gather requirements validate personas and prioritize features via the product council based on scientific impact and operational feasibility Lead cross-functional delivery across engineering and UX to Implement LLM-enabled capabilities for form completion analogy-based scope suggestions and similar-investigation recommendations Improve transparency and usability opt-out for findings conclusions clearer data promises during form filling Assess and evolve application components based on end-user-derived requirements Own the product lifecycle from ideation to launch and continuous improvement Scope Investigation Management release thoroughly implement non-disruptive near-term changes where no fundamental technical issues exist Evaluate data source alternatives and risks ensure data inventory and subset per release Establish and track product metrics Adoption of investigation cycle-time data readiness coverage user satisfaction and quality traceability of findings Measure contribution of LLM features to efficiency and accuracy within compliance constraints Translate scientific workflows and trial risk management needs into intuitive governed experiences From scientific question to scoped investigation to anonymized data browsing to reproducible findings Support co-discovery by surfacing similar scopes and guiding users through transparent documented decisions Ensure governed compliant access to data Align with privacy security and governance standards for anonymization and RWE integration Consolidate and improve documentation hygiene creating a single source of truth from fragmented Confluence content to reduce ambiguity for end users Minimum Requirements We are looking for a strategic and hands-on Product Manager who thrives at the intersection of science data and technology and is passionate about operationalizing investigation workflows at scale You should excel at translating scientific questions and risk management needs into intuitive governed digital experiences that balance automation with expert user control Product Management Expertise Proven ability to define product vision strategy and roadmap for workflow-heavy products Experience coordinating delivery of modular integrated releases and managing product councils or equivalent governance Data and Technical Acumen Experience Familiarity in working with data platforms data pools anonymization RWD integration and multi-layer architectures Extensive working knowledge with GenAI LLM-assisted features form completion scope suggestions similarity search and their constraints in regulated settings Understanding of data models metadata standards and alignment and trade-offs in switching or harmonizing sources Leadership and Collaboration Skilled in influencing diverse stakeholders GPHs data scientists data engineers data explorers and aligning on requirements from end-user interviews Ability to manage feedback fatigue and drive clarity on personas and value propositions Scientific and Data Literacy Understanding of R D investigation workflows trial risk management needs and multi-modal data readiness Ability to translate scientific questions into data requirements and governed access patterns Work Experience Bachelor s or Master s degree in Life Sciences Computer Science Engineering or related field 5 years of product management experience in data-driven or workflow-centric products exposure to pharma R D or scientific data platforms preferred Track record delivering complex cross-functional products with strong execution and change management Strong analytical and problem-solving skills focused on data readiness usability and compliance Excellent communication and stakeholder engagement abilities experience consolidating fragmented documentation Familiarity with agile methodologies and modern product management tools Languages English Skills Desired Clinical Data Management Data Architecture Data Governance Data Integration Data Management Data Profiling Data Quality Data Science Data Strategy Master Data Waterfall Model