Sample Job Description for VP of Enterprise Data Management
Job Description Management
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VP of Enterprise Data Management Job Overview
VP of Enterprise Data Management Job Description Sample
Directs the design and development of data strategies and processes to support the organization's current and future data asset requirements and meet business goals and objectives.
JOB LEVEL
M05
EDUCATION/DEGREE
Bachelor's Degree
REPORTS TO
Top Management
Salary Range
BASE 50%
$260,900
TOTAL 50%
$326,800
Job Responsibilities for VP of Enterprise Data Management
Defines and implements the architecture, systems, and roadmap to obtain, store, integrate and manage data. Utilizes data warehouses, stores, and other business intelligence systems to manage and distribute data efficiently. Establishes data governance standards and policies to develop data management guidelines that will ensure data accuracy, reliability, and security. Adheres to data privacy regulations to ensure sensitive data is protected. Studies and evaluates emerging technologies to enhance data capabilities and operations.
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View Job Description Templates of Similar Jobs
| Job Title | Job Description | |
|---|---|---|
| 1 | Data Governance Specialist | The Data Governance Specialist defines data elements and establishes policies and procedures related to the collection and accuracy of data, and performs tests on data systems. Coordinates an organization's quality, security, and maintenance of data. Being a Data Governance Specialist typically requires a bachelor's degree. Ensures sufficient data quality is maintained so that the data can effectively support the business process. In addition, Data Governance Specialist typically reports to a manager. Being a Data Governance Specialist contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. Working as a Data Governance Specialist typically requires 4 to 7 years of related experience. |
| 2 | Top Supply & Logistics Executive | The Top Supply & Logistics Executive develops policies and procedures for logistic processes in order to ensure compliance with established standards and regulations. Plans and directs all aspects of an organization's logistics management functions. Being a Top Supply & Logistics Executive typically reports to top management. Requires a bachelor's degree. The Top Supply & Logistics Executive manages a departmental function within a broader corporate function. Develops major goals to support broad functional objectives. Approves policies developed within various sub-functions and departments. Comprehensive knowledge of the overall departmental function. Working as a Top Supply & Logistics Executive typically requires 8+ years of managerial experience. |
| 3 | Data Scientist/Analytics, Entry | The Data Scientist/Analytics, Entry interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Entry prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Entry may require an advanced degree. Typically reports to a manager. Work is closely managed. Works on projects/matters of limited complexity in a support role. Typically requires 0-2 years of related experience. Being a Data Scientist/Analytics, Entry work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Data Scientist/Analytics, Entry typically requires 0-2 years of related experience. |
| 4 | Data Scientist/Analytics, Expert Advisory | The Data Scientist/Analytics, Expert Advisory interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Expert Advisory prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Expert Advisory typically requires an advanced degree. Typically reports to a manager or head of a unit/department. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. Being a Data Scientist/Analytics, Expert Advisory works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Data Scientist/Analytics, Expert Advisory typically requires 10+ years of related experience. |
| 5 | Data and Information Architect I | The Data and Information Architect I develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data and Information Architect I may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data and Information Architect I typically requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Data and Information Architect I works on projects/matters of limited complexity in a support role. Work is closely managed. Working as a Data and Information Architect I typically requires 0-2 years of related experience. |
VP of Enterprise Data Management Skills & Proficiency Level
| Skills | Proficiency Level |
|---|---|
| Business Acumen | Level 3 |
| Budgeting | Level 3 |
| Risk Management | Level 5 |