Lead Product Manager – R&D Decision Intelligence & Digital Analytics
Core
Lead a portfolio of digital products enabling R&D teams to generate insights, make decisions, plan, predict outcomes, and optimize scientific workflows.
Role type
Lead Product Manager (R&D Decision Intelligence & Digital Analytics)
Builds
Scalable, trusted, and sustainable digital products for R&D IT that turn experimental and observational data into actionable insights, predictive capabilities, and decision-support solutions.
Domain
R&D operations, Decision Intelligence, Digital Analytics, AI/ML
Deliverable
production ML models | product features
Required skills
Product strategy, Roadmapping, Portfolio management, Prioritization, Agile/Lean practices, Stakeholder leadership, Change management, Budget allocation, Product delivery practices, Competitive analysis
Preferred skills
AI/ML and agentic AI concepts, Scientific data lifecycle management, Enterprise software architecture, User research methodologies, Regulatory compliance frameworks
Technologies
AI/ML, Agentic AI, Predictive modeling, Decision intelligence, Data governance tools
Responsibilities
Define and drive POD vision, value hypotheses, multi-horizon roadmap, and product portfolio strategy; Lead prioritization and investment decisions across products and capabilities; Deliver digital products enabling analytics, insights, forecasting, scenario planning, resource and capacity planning, optimization, and AI-enabled decision support; Partner with R&D, business, data, technology, security, architecture, and governance stakeholders to translate needs into measurable product outcomes; Establish and track OKRs/KPIs related to adoption, user outcomes, decision quality, cycle-time reduction, operational performance, reliability, and total cost of ownership; Lead product delivery practices including backlog management, prioritization cadences, dependency management, release governance, and outcome-oriented increments; Drive adoption and change management through stakeholder engagement, communications, enablement, and continuous feedback; Ensure products are scalable, reusable, interoperable, secure, and aligned with enterprise architecture, data governance, and quality standards; Manage POD-level risks, dependencies, vendors, and partners where applicable; Coach and develop Product Managers within the POD; Establish and maintain executive visibility through regular reporting on product performance, strategic initiatives, budget utilization, and key business metrics to senior leadership; Conduct competitive analysis and market intelligence to identify emerging trends, opportunities, and threats in decision intelligence and analytics solutions relevant to R&D operations; Define and implement continuous improvement processes that integrate user feedback, performance data, and stakeholder input into iterative product enhancements and refinements; Oversee budget allocation, resource planning, and financial performance management for the POD to ensure optimal return on investment and cost efficiency.
Seniority
Lead, strategic portfolio ownership with team development
