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)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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)
Cites examples of best practices used in data architecture.
Level 2 Behaviors
(Light Experience)
Assists in defining a roadmap for the implementation of data architecture strategies.
Level 3 Behaviors
(Moderate Experience)
Deploys data architectures to manage, transform, and exploit data across the enterprise.
Level 4 Behaviors
(Extensive Experience)
Develops and leverages key metrics to ensure the integrity of data architecture.
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced tools to improve the 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)
Describes how our business makes money and our key business objectives.
Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
Level 3 Behaviors
(Moderate Experience)
Analyses the business impact of demographic changes; suggests effective responses.
Level 4 Behaviors
(Extensive Experience)
Consults on the selection and adjustment of the go-to-market strategy.
Level 5 Behaviors
(Mastery)
Builds a mentoring model to ensure a continuous increase of business sense within our business.
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 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.
