Data & AI Product Manager
Define and assess a data product around the task its users need to complete.
Define an evidence-based pilot decision
Use the reconciliation workflow to define a business baseline, target outcome, review owner, and adoption plan. Estimate capacity value using your own inputs and identify the assumptions the pilot must test.
Start with the browser demo or download the local kit. For the workspace exercise, you need approved access to the relevant Genedata capabilities and a reviewer for your output.
Practice tasks
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Turn data capability into useful adoption.
Define and assess a data product around the task its users need to complete.
Interview the intended users and define the decision or task the product should support.
Map the data, interfaces, governance needs, and operational owners behind the experience.
Agree acceptance criteria and a way to observe adoption and task completion.
Review feedback and operating evidence, then prioritize the next improvement with delivery teams.
Expected handoff
A data-product brief with acceptance criteria and an adoption review plan.
Explore your platform capabilitiesMeasure your progress
- Users completing the intended task
- Time from validated feedback to a prioritized improvement
Use AI to organize feedback and draft a product brief; verify priorities through direct user and operating evidence.