One Job, Not Three : How AI Collapsed Data Governance, Data Strategy, and Data Quality Into a Single Discipline
Language: English
Published by Amazon Digital Services LLC - Kdp Jul 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 32.98
Quantity: 2 available
Add to basketItem description from seller
Neuware - The modern data leader was not hired for one job.They were handed three.One Job, Not Three is a practical leadership guide for Chief Data Officers, data governance leaders, data architects, and rising data executives trying to lead in an environment where data quality, AI governance, business trust, and organizational pressure have all collided.Today's data leaders are expected to modernize platforms, protect the business from risk, enable AI, govern data responsibly, influence executive decisions, and rebuild trust across teams that often do not speak the same language. The title may say one job. The work often feels like three roles merged together without anyone changing the mandate.This book gives data leaders a clearer operating model for that reality.Inside, you will learn how to: - Clarify the real scope of modern data leadership before it becomes unmanageable- Build credibility with business stakeholders who have lost trust in data- Translate data quality, governance, and AI risk into executive language- Create practical frameworks for autonomy, accountability, and decision-making- Address shadow AI without pretending bans will solve the problem- Use business-facing metrics that make data value easier to understand- Lead through complexity without becoming the bottleneck for every decisionOne Job, Not Three is written for leaders who are tired of vague transformation language and need usable frameworks for the real work of data leadership.If you are a Chief Data Officer, VP of Data Governance, Director of Data, enterprise data architect, or technical professional moving toward leadership, this book will help you name the job clearly, lead it more strategically, and stop carrying three roles as if they were one.The future of data leadership will not be won by tools alone.It will be won by leaders who can translate data into trust, governance into judgment, and AI ambition into responsible execution. …
Seller Inventory # 9798186759089
- Title
- One Job, Not Three : How AI Collapsed Data Governance, Data Strategy, and Data Quality Into a Single Discipline
- Author
- Byron K Veasey
- Publisher
- Amazon Digital Services LLC - Kdp Jul 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798186759089
- Item weight
- 168 grams
- Dimensions
- 229x152x8 mm
The modern data leader was not hired for one job.
They were handed three.
One Job, Not Three is a practical leadership guide for Chief Data Officers, data governance leaders, data architects, and rising data executives trying to lead in an environment where data quality, AI governance, business trust, and organizational pressure have all collided.
Today’s data leaders are expected to modernize platforms, protect the business from risk, enable AI, govern data responsibly, influence executive decisions, and rebuild trust across teams that often do not speak the same language. The title may say one job. The work often feels like three roles merged together without anyone changing the mandate.
This book gives data leaders a clearer operating model for that reality.
Inside, you will learn how to:
- Clarify the real scope of modern data leadership before it becomes unmanageable
- Build credibility with business stakeholders who have lost trust in data
- Translate data quality, governance, and AI risk into executive language
- Create practical frameworks for autonomy, accountability, and decision-making
- Address shadow AI without pretending bans will solve the problem
- Use business-facing metrics that make data value easier to understand
- Lead through complexity without becoming the bottleneck for every decision
One Job, Not Three is written for leaders who are tired of vague transformation language and need usable frameworks for the real work of data leadership.
If you are a Chief Data Officer, VP of Data Governance, Director of Data, enterprise data architect, or technical professional moving toward leadership, this book will help you name the job clearly, lead it more strategically, and stop carrying three roles as if they were one.
The future of data leadership will not be won by tools alone.
It will be won by leaders who can translate data into trust, governance into judgment, and AI ambition into responsible execution.
"Synopsis" may belong to another edition of this title.
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