Manages the identification and utilization of large data sets to identify trends, patterns, and provide key business insights.
Oversees and promotes data mining, cleaning, and aggregation processes and frameworks to prepare data, implement data models, conduct analysis, and develop databases. Coordinates the design and implementation of big data solutions for an organization, collaborating and liaising with stakeholders to ensure needs are captured. Provides technical guidance to evaluate data models, review code, and source data pipelines. Prioritizes tasks and allocates resources effectively to ensure timely delivery of projects. Builds team capability with mentoring, coaching, and professional development.
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 Science Senior Manager skill and competencie below to view definitions.
Skill definition-Collecting, analyzing, and interpreting a large amount of data to uncover information to help organizations make informed business decisions.
Level 1 Behaviors
(General Familiarity)
Describes the concept, definition, and benefits of big data analytics.
Level 2 Behaviors
(Light Experience)
Enters large amounts of data and reports into big data analytics tools.
Level 3 Behaviors
(Moderate Experience)
Partners with senior management to deliver key analytic solutions using big data.
Level 4 Behaviors
(Extensive Experience)
Interprets results of big data analytics research report to forecast product volume and supply in various regions.
Level 5 Behaviors
(Mastery)
Creates the latest trends in big data analytics to constantly gauge customer needs and create new products.
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-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Explains our key business strategies and priorities.
Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Explains a specific technology and its application.
Level 2 Behaviors
(Light Experience)
Responds to clients' inquiries regarding technology domains in a timely and efficient manner.
Level 3 Behaviors
(Moderate Experience)
Uses data analytics to advise improvements on technology systems.
Level 4 Behaviors
(Extensive Experience)
Leverages technology advising to provide accurate recommendations and solutions to technology needs.
Level 5 Behaviors
(Mastery)
Establishes the policies and standard procedures for conducting our technology advising strategies.
There are 0 hard skills for Data Science Senior Manager.
10 general skills for Data Science Senior Manager, Big Data Analytics, Business Intelligence, Data Analytics, etc.
10 soft skills for Data Science Senior Manager, Business Acumen, Technology Advising, Planning and Organizing, etc.
While the list totals 20 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 Science Senior Manager, he or she needs to be skilled in Business Acumen, be skilled in Technology Advising, and be an expert in Planning and Organizing.
