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Data & AI Product Manager / Leadership & EnablementGENEDATA / 01

Turn data capability into useful adoption.

Connects roadmap, adoption, service quality, cost, stakeholder needs, value evidence, and portfolio priorities.

Talk to the teamYour workflow
Shared context · Lineage · Governance
Connected
Your sources
Assess needs and evidence
Design the approach
Measure outcomes
Connected intelligenceData & AI Product Manager
Governance
Business impactImprove the operating model
Shared contextLineageGovernance
+Illustrative workflow01 / 03
1 / 3
Open your hands-on learning path
Role context

The context behind the work.

You connect platform capability to a task people value enough to use repeatedly. A data product includes its definitions, quality expectations, access path, owner, and support model as well as the visible interface.

In practice / 01

Define a new internal data product

Identify the users and the decision they need to make. Map the required data and interfaces, agree acceptance criteria, and review the ownership and support model before committing to delivery.

In practice / 02

Improve a feature with low adoption

Observe where users stop or need help. Separate access, trust, usability, and relevance problems, then prioritize a focused change and review whether task completion improves.

Your workflow

A practical path from task to outcome.

Define and assess a data product around the task its users need to complete.

  1. 01

    Assess needs and evidence

    Interview the intended users and define the decision or task the product should support.

  2. 02

    Design the approach

    Map the data, interfaces, governance needs, and operational owners behind the experience.

  3. 03

    Measure outcomes

    Agree acceptance criteria and a way to observe adoption and task completion.

  4. 04

    Improve the operating model

    Review feedback and operating evidence, then prioritize the next improvement with delivery teams.

What you take forward

A data-product brief with acceptance criteria and an adoption review plan.

Work more effectively

Less repeated effort. More useful work.

Explore the habits and platform connections that can make this role easier, more consistent, and easier to collaborate with.

A common friction

Feature requests without a clear user task

Anchor the product brief in the work the user is trying to complete.

A common friction

Delivery success measured only by launch

Agree useful adoption and outcome signals before release.

A common friction

Feedback disconnected from the platform workflow

Connect a reported problem to the relevant asset, surface, and owner.

Measure your own improvement

Choose a baseline before you begin. Review these signals with your team; results depend on your data, process, and implementation.

  • Users completing the intended task
  • Time from validated feedback to a prioritized improvement
Get started

Build confidence with a first task.

Define and assess a data product around the task its users need to complete.

Use AI with judgment

Use AI to organize feedback and draft a product brief; verify priorities through direct user and operating evidence.

Your practice checklist

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Your toolkit

The right surfaces. The right people.

Continue into the product, deepen your knowledge, or follow the next role in the handoff.

Go deeper

Technical workbookDocumentation

Technical workbooks are maintained in English. Workspace access and available capabilities depend on your deployment and permissions.

Data & AI Product Manager

Bring your own workflow.

Explore how these practices could fit your team, your data, and your operating requirements.

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