10 general skills or competencies (Job family competencies) for Data Science Director
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.
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Level 2 Behaviors
(Light Experience)
Compiles report on the results of big data analytics and presents to the management.
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Level 3 Behaviors
(Moderate Experience)
Contributes to the development of tools and data models for big data analytics platforms.
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Level 4 Behaviors
(Extensive Experience)
Drives big data and predictive analytics development to optimize product performance.
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Level 5 Behaviors
(Mastery)
Creates the latest trends in big data analytics to constantly gauge customer needs and create new products.
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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 data modeling and reporting concepts applicable to business Intelligence.
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Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
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Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
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Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
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Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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10 soft skills or competencies (core competencies) for Data Science Director
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)
Discusses the strengths and weaknesses of our products and services.
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Level 2 Behaviors
(Light Experience)
Explains advantages and disadvantages of different organizational structures from an efficiency perspective.
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Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
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Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
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Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
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Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Describes the key roles and responsibilities of a technical advisor.
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Level 2 Behaviors
(Light Experience)
Explains the features of a particular product or service in simple terms to the clients.
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Level 3 Behaviors
(Moderate Experience)
Provides guidance to others in advising various clients on technology solutions.
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Level 4 Behaviors
(Extensive Experience)
Evaluates emerging technologies and anticipates their potential business impacts.
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Level 5 Behaviors
(Mastery)
Develops advising materials to support our employees in dealing with technology needs.
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Summary of Data Science Director skills and competencies
There are 0 hard skills for Data Science Director.
10 general skills for Data Science Director, Big Data Analytics, Business Intelligence, Data Analytics, etc.
10 soft skills for Data Science Director, 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 Director, he or she needs to be skilled in Business Acumen, be skilled in Technology Advising, and be an expert in Planning and Organizing.