Position Summary
The Product Manager manages a well-defined feature area within Henderson’s AI-enabled digital product portfolio, with a focus on MEP workflows, artificial intelligence, and related emerging tools. Working within the product strategy set by the Product Management Director, with regular guidance on direction and tradeoffs, this role establishes the feature vision and outcomes, works closely with stakeholders to understand high-value problems, and partners with product design, technical subject matter experts, and software developers to deliver useful capabilities quickly and iteratively. The Product Manager is accountable for the feature area’s direction, adoption, and measurable business value, and continues to build their product practice alongside colleagues on the product team.
Essential Job Functions & Accountabilities
Product Ownership & Delivery
Owns the vision, roadmap, and outcomes for an area of the product, aligned to the product strategy set by the Product Management Director.
Identifies opportunities to apply AI, MCP, agentic workflows, automation, and adjacent technologies to meaningful user and business problems.
Translates desired outcomes into clear requirements, user stories, acceptance criteria, and release increments that developers can act on.
Owns and continuously sequences the backlog with the assigned software development team, balancing value, risk, technical feasibility, learning, and speed.
Breaks complex opportunities into small, testable releases that deliver value early and generate evidence for the next iteration.
Makes scope, sequencing, and release decisions for the feature area with guidance from the Product Management Director, escalating changes that materially affect the value case or portfolio roadmap.
Defines success measures, monitors performance, and adjusts direction based on adoption, user feedback, operational data, and business outcomes.
Discovery, AI Fluency & Experimentation
Applies the team’s established discovery methods, working directly with engineers, internal users, business leaders, and other stakeholders to understand workflows, pain points, constraints, and desired outcomes.
Turns discovery findings into validated problem statements and outcome hypotheses rather than accepting feature requests at face value.
Evaluates where AI and automation can create differentiated value.
Runs rapid experiments, prototypes, and proofs of concept to test desirability, feasibility, quality, safety, and value before scaling investment.
Partners with technical subject matter experts to define data, integration, security, governance, and engineering constraints for the feature area.
Maintains awareness of relevant AI capabilities and emerging tools, separating practical opportunities from short-lived technology trends.
Stakeholder Partnership, Delivery & Adoption
Builds alignment with stakeholders on the feature area’s problems to solve, target outcomes, priorities, constraints, and measures of success.
Partners with product design to create intuitive, trustworthy experiences.
Works day to day with the software development team throughout discovery, planning, build, validation, release, and iteration.
Makes timely product decisions and resolves ambiguity so developers can maintain momentum and deliver value quickly.
Drives adoption and realized value by engaging directly with the sectors and engineering teams that use the feature area.
Instruments the feature area for usage analytics, quality signals, and structured feedback, then applies those insights to prioritize subsequent iterations.
Communicates progress, evidence, tradeoffs, risks, and outcomes clearly to users, stakeholders, developers, and leadership.
Reports feature-area performance, adoption, learning, and realized value to the Product Management Director.
Shares discovery findings, AI learnings, and lessons learned with the product team.
Participates in peer reviews of requirements, roadmaps, and experiment…