2023-01-23-Gartner-数据和分析的基本角色是什么_（英）_18页_354kb

Summary of Gartner Research: Essential Roles for Data and Analytics

The report identifies essential roles to support data and analytics (D&A) for digital business acceleration, emphasizing the growing importance of people, training, and cultural change.

Current High-Priority Roles

• Supporting Roles: Includes Chief Data and Analytics Officer (CDAO), D&A Manager, D&A Architect, Business Analyst, D&A Project Manager, Change and Transformation Manager, and D&A Tester. These focus on strategy, governance, and operational support.
• Data Roles: Encompasses Data Engineer, Analytics Engineer, Data Steward, Master Data Management (MDM) Manager, and Data Modeler. Responsibilities include managing data pipelines, governance, and data quality.
• Analytics Roles: Covers Analytics and Business Intelligence Developer, Data Scientist, Citizen Data Scientist, and AI/ML Developer. These roles handle insights, modeling, and the application of machine learning.

Emerging Roles

• Driven by Technology and Ethics: Roles like Data Ethicist address ethical considerations, such as bias detection and explainable AI. Data Product Manager focuses on monetizing data, while Decision Engineer optimizes decision-making processes and Knowledge Engineer supports domain expertise using models.
• Trends: Citizen roles (e.g., Data Ethicist, Citizen Data Scientist) are adapting to AI and automation, reducing barriers to access and enhancing data literacy across the organization.

Key Drivers and Assumptions

• By 2023 Assumptions: Machine Learning Engineer roles will grow rapidly, with increased AI adoption enabling more inclusive employment and responsible AI development requiring specialized expertise.
• Organizational Impact: Factors include the strategic elevation of D&A, need for hybrid roles across IT and business, and the rise of real-time, cloud-based analytics demanding new skill sets. Traditional IT and data roles are evolving to address autonomous data management and greater accessibility.

The report underscores that CDAOs and organizations should prioritize talent development, knowledge transfer, and cultural shifts to overcome persistent inhibitors in D&A success.