Oversees and implements an organization’s data systems development and maintenance.
Helps develop and guide projects to improve the usability, scalability, efficiency, and security of an organization’s data resources. These can include data migrations, data governance initiatives, and data management and architecture projects. Ensures new or reconfigured data systems are designed, developed, and tested effectively. Helps align data systems with data solutions, modeling, and analytics initiatives.
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 Data Architecture Senior Manager 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)
Conducts standard reviews to assess the effectiveness of data architecture deliverables.
Level 3 Behaviors
(Moderate Experience)
Partners with various teams to identify the needs in data architecture across our organization.
Level 4 Behaviors
(Extensive Experience)
Guides the teams to develop data architecture solutions and achieve business functionalities.
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)
Demonstrates an innate sense of how to achieve positive results in the current environment.
Level 4 Behaviors
(Extensive Experience)
Evaluates and explains the financial aspects of a business initiative to different teams.
Level 5 Behaviors
(Mastery)
Conceptualizes new and creative business initiatives to boost business growth.
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)
Describes the procedures for capital and expense allocation and budgeting.
Level 2 Behaviors
(Light Experience)
Gathers financial data to help support management in budgeting analysis and forecasting.
Level 3 Behaviors
(Moderate Experience)
Prepares and reviews the annual budgeting process to ensure effective and efficient budgeting.
Level 4 Behaviors
(Extensive Experience)
Evaluates past decisions on budgetary considerations to improve the budgeting process.
Level 5 Behaviors
(Mastery)
Establishes operating procedures to guide the consistency and repeatability of our budgeting processes.
There are 0 hard skills for Data Architecture Senior Manager.
14 general skills for Data Architecture Senior Manager, Business Intelligence, Data Architecture, Data Governance, etc.
11 soft skills for Data Architecture Senior Manager, Business Acumen, Budgeting, Planning and Organizing, etc.
While the list totals 25 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 Data Architecture Senior Manager, he or she needs to be proficient in Business Acumen, be proficient in Budgeting, and be skilled in Planning and Organizing.
