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 data modeling and reporting concepts applicable to business Intelligence.
Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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 architecture of multiple sources of data.
Level 2 Behaviors
(Light Experience)
Compiles analytics reports to track data collection architectures.
Level 3 Behaviors
(Moderate Experience)
Maintains data structures within the data architecture to optimize the performance of the business.
Level 4 Behaviors
(Extensive Experience)
Evaluates the alignment of data architecture workstreams to ensure business objectives.
Level 5 Behaviors
(Mastery)
Designs and implements data architecture to provide efficient and consistent data sources.
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)
Discusses the strengths and weaknesses of our products and services.
Level 2 Behaviors
(Light Experience)
Explains advantages and disadvantages of different organizational structures from an efficiency perspective.
Level 3 Behaviors
(Moderate Experience)
Communicates financial insights that positively influence the business plan development process.
Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
Level 5 Behaviors
(Mastery)
Champions organizational change and digital transformation to drive higher business performance.
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)
Compiles a list of basic issues and risks for conducting our budget processes.
Level 2 Behaviors
(Light Experience)
Applies established guidelines for conducting our budgeting processes.
Level 3 Behaviors
(Moderate Experience)
Communicates budget objectives and plans to help identify financial trends and create budget forecasts.
Level 4 Behaviors
(Extensive Experience)
Anticipates organizational income and expenses to make forecasts and develop budget plans.
Level 5 Behaviors
(Mastery)
Adapts relevant industry trends on techniques in financial budgeting in our organization.
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.
