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Architect - Data Gov. & Stewardship @ Pepsico

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 Architect - Data Gov. & Stewardship

Job Description

Overview

We are seeking a Data Governance & Stewardship Business Analysts to join our growing team. In this role, you will be responsible for creating, developing, and implementing training content and frameworks to support data governance and stewardship initiatives. This individual will play a key role in introducing new technologies, managing the training playbook, and maintaining a centralized training repository. You will also help develop a consistent and effective training delivery model that empowers teams with the knowledge and tools necessary for successful data governance practices.


Responsibilities

Develop comprehensive training content covering all aspects of data governance, data stewardship, and relevant Informatica technologies.,Design engaging and interactive materials, including presentations, e-learning modules, handbooks, and guides, that cater to different levels of users (e.g., technical and non-technical).,Create content tailored to various aspects of data governance, including data quality management, data stewardship processes, metadata management, and compliance.,Continuously update the training playbook to reflect new content, processes, tools, and user feedback.,Develop and manage a centralized training playbook that provides a structured approach to data governance training, including best practices, workflows, and step-by-step guides.,Work closely with business and technical stakeholders to identify knowledge gaps and training needs related to data governance and stewardship.


Qualifications

Undergraduate in Management Information System, Data Analytics, or Ai
DG Certifications

Job Classification

Industry: Beverage
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Data warehouse Architect / Consultant
Employement Type: Full time

Contact Details:

Company: Pepsico
Location(s): Hyderabad

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Keyskills:   data architecture metadata data analytics data modeling metadata management data warehousing data quality management etl informatica sql

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