Senior Product Manager leading discovery and delivery of productivity solutions at Elsevier. Collaborating with internal teams to improve operational efficiency with AI and automation.
Responsibilities
Partnering with internal teams to deeply understand workflows, bottlenecks, and operational pain points, then translate them into validated product opportunities with clear ROI potential
Creating and managing a prioritized roadmap of high-impact productivity use cases, balancing implementation speed, technical feasibility, organizational risk, and scalability across functions
Defining success metrics and reporting for each solution, including adoption rates, time savings, quality improvements, and employee satisfaction, using data to drive rapid iteration
Leading end-to-end product delivery in a fast-moving agile environment, partnering daily with engineers and operational stakeholders
Helping to define productivity-first product development by applying modern discovery methods, rapid prototyping, and evidence-based decision making
Scaling impact beyond your squad by documenting patterns, reusable components, and learnings, partnering with enterprise teams to make solutions discoverable and adoptable organization-wide
Requirements
Possess current and extensive product management experience delivering software solutions in an agile environment, preferably with internal or operational focus
Hands-on fluency with generative AI tools and modern automation concepts with ability to stay current on technical and product advances relevant to workplace productivity
Experience building or managing AI-enabled workflow tools, process automation, and productivity systems, especially in enterprise environments
Demonstrated ability to lead workflow discovery, define productivity problems clearly, and convert operational ambiguity into prioritized roadmaps and shipped solutions
Extensive partnership skills with engineering teams and stakeholders, including comfort making pragmatic build/buy/partner tradeoffs
Experience defining operational metrics and using workflow data to drive product decisions and iteration cycles
Possess current and extensive discovery expertise. Skilled at framing problems, mapping workflows, quantifying impact, and validating solutions rapidly with stakeholders; comfortable balancing speed and rigor.
Ability to work effectively across matrixed organizations and engage productively with different levels of seniority.
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