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)
Describes the basic terminologies used in business intelligence and business analytics processes.
Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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)
Describes the concepts and principles of database architecture.
Level 2 Behaviors
(Light Experience)
Assists in tracking, documenting, and resolving all data architecture issues.
Level 3 Behaviors
(Moderate Experience)
Handles data architecture recommendations to maximize the data value across our business.
Level 4 Behaviors
(Extensive Experience)
Drives improvements in data architecture and processes to support business analytical initiatives.
Level 5 Behaviors
(Mastery)
Conceptualizes the designs and data models to lead compliance with data architecture standards.
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)
Describes the market conditions that impact the business.
Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
Level 3 Behaviors
(Moderate Experience)
Applies technical expertise, business sense, and product knowledge to manage the product lifecycle effectively.
Level 4 Behaviors
(Extensive Experience)
Coordinates technical and business teams to solve complex and diverse customer problems.
Level 5 Behaviors
(Mastery)
Builds strong business partnerships internally and externally to drive "win-win" business successes.
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 concepts and principles of budgeting operations.
Level 2 Behaviors
(Light Experience)
Assists in developing and improving budgeting models, plans, and strategies.
Level 3 Behaviors
(Moderate Experience)
Compares planned budgets vs. actual expenditures, identifies, reports, and explains variances.
Level 4 Behaviors
(Extensive Experience)
Determines system capabilities and needs to improve the process for financial budgeting.
Level 5 Behaviors
(Mastery)
Develops financial models to support the strategic improvement 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.
