Isbn: 9798186759089 - one job, not three: how ai collapsed data governance, data strategy, and data quality into a single discipline (4 resultados)

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  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp Jul 2026, 2026

    9798186759089

    • Tapa blanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 36,89

    Envío por EUR 30,50 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. 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.

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798186759089

    • Tapa blanda
    • Impresión bajo demanda

    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 21,54

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798186759089

    • Tapa blanda
    • Impresión bajo demanda

    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 22,51

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. 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 unmanageableBuild credibility with business stakeholders who have lost trust in dataTranslate data quality, governance, and AI risk into executive languageCreate practical frameworks for autonomy, accountability, and decision-makingAddress shadow AI without pretending bans will solve the problemUse business-facing metrics that make data value easier to understandLead 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798186759089

    • Tapa blanda
    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 27,56

    Envío por EUR 43,06 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. 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 unmanageableBuild credibility with business stakeholders who have lost trust in dataTranslate data quality, governance, and AI risk into executive languageCreate practical frameworks for autonomy, accountability, and decision-makingAddress shadow AI without pretending bans will solve the problemUse business-facing metrics that make data value easier to understandLead 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.