13 general skills or competencies (Job family competencies) for Data Science Manager
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)
Explains the importance and function of big data analytics.
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Level 2 Behaviors
(Light Experience)
Gathers the department's requirements for efficient big data analytics.
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Level 3 Behaviors
(Moderate Experience)
Suggests effective approaches for big data analytics to support dashboard and report development.
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Level 4 Behaviors
(Extensive Experience)
Manages advanced and complex big data analytics based on the overall business needs.
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Level 5 Behaviors
(Mastery)
Leads the selection and implementation of big data platform technologies.
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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 functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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11 soft skills or competencies (core competencies) for Data Science Manager
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.
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Level 2 Behaviors
(Light Experience)
Responds to clients' inquiries regarding technology domains in a timely and efficient manner.
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Level 3 Behaviors
(Moderate Experience)
Uses data analytics to advise improvements on technology systems.
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Level 4 Behaviors
(Extensive Experience)
Leverages technology advising to provide accurate recommendations and solutions to technology needs.
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Level 5 Behaviors
(Mastery)
Establishes the policies and standard procedures for conducting our technology advising strategies.
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Skill definition-Managing and prioritizing resources and workloads by creating well-organized plans to attain organizational goals and objectives.
Level 1 Behaviors
(General Familiarity)
Explains the importance of planning and organization in building a good working environment.
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Level 2 Behaviors
(Light Experience)
Identifies key implications of ineffective planning and organization that affects decision-making.
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Level 3 Behaviors
(Moderate Experience)
Leverages key performance indicators to measure progress completion against performance metrics.
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Level 4 Behaviors
(Extensive Experience)
Manages the planning and sequencing of activities to create well-planned schedules and achieve goals on time.
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Level 5 Behaviors
(Mastery)
Establishes standards for planning and organization processes to align efforts with business goals.
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Summary of Data Science Manager skills and competencies
There are 0 hard skills for Data Science Manager.
13 general skills for Data Science Manager, Big Data Analytics, Business Intelligence, Data Analytics, etc.
11 soft skills for Data Science Manager, Technology Advising, Planning and Organizing, Prioritization, etc.
While the list totals 24 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 Manager, he or she needs to be skilled in Technology Advising, be skilled in Planning and Organizing, and be skilled in Prioritization.