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 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)
Names our key stakeholders from a business value chain perspective.
Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
Level 3 Behaviors
(Moderate Experience)
Participates in the redesign of organizational structures to reflect business priorities.
Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
Level 5 Behaviors
(Mastery)
Forecasts the short-term and long-term impact of various business cases on P&L 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)
Lists the elements and the steps on how to conduct budgeting.
Level 2 Behaviors
(Light Experience)
Tracks and reports financial inefficiencies to ensure smooth functioning of our budgeting processes.
Level 3 Behaviors
(Moderate Experience)
Works with senior management in creating appropriate budget amounts.
Level 4 Behaviors
(Extensive Experience)
Recommends alternative budgeting strategies for resolving budgeting issues in our workplace.
Level 5 Behaviors
(Mastery)
Introduces technologies, policies, and programs for more effective budget management.
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.
