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.
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.
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each VP of Data Management skill and competencie below to view definitions.
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Explains the functions of existing and emerging data and business intelligence platforms.
Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
Skill definition-Designing, and implementing policies and standards in managing data to meet the need for information across our organization.
Level 1 Behaviors
(General Familiarity)
Explains the components of data architecture, data pipelines, and data streaming.
Level 2 Behaviors
(Light Experience)
Gathers data definition and data modeling to support the development of data architecture.
Level 3 Behaviors
(Moderate Experience)
Performs data architecture analysis to improve data flows with our organization's guidelines.
Level 4 Behaviors
(Extensive Experience)
Integrates data architecture in the development lifecycle to achieve desired business outcomes.
Level 5 Behaviors
(Mastery)
Develops and implements key components to verify the fidelity and performance of data architecture.
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Explains our key business strategies and priorities.
Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
Skill definition-Applying specific policies, tools and practices to plan and prepare projected revenues, expenses, cash flows, and capital expenditures.
Level 1 Behaviors
(General Familiarity)
Explains the different purposes and uses of our organization's budgets.
Level 2 Behaviors
(Light Experience)
Produces budget reports showing planned vs. actual variances highlighted and explained.
Level 3 Behaviors
(Moderate Experience)
Reviews and helps approve major budget adjustments to negotiate and reconcile line variances.
Level 4 Behaviors
(Extensive Experience)
Monitors budgeting processes to ensure adherence to our organization's financial practices and standards.
Level 5 Behaviors
(Mastery)
Forecasts asset needs to leverage available inventory and data compilation for annual budgeting.
There are 0 hard skills for VP of Data Management.
12 general skills for VP of Data Management, Business Intelligence, Data Architecture, Data Governance, etc.
11 soft skills for VP of Data Management, Business Acumen, Budgeting, Risk Management, etc.
While the list totals 23 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a VP of Data Management, he or she needs to be skilled in Business Acumen, be skilled in Budgeting, and be an expert in Risk Management.
