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)
Discusses the lifecycle phases 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 development of an information architecture framework for our data analytics platform.
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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)
Lists the basic features of general business intelligence systems and database structure.
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Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
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Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
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Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
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Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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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)
Names our key stakeholders from a business value chain perspective.
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Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
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Level 3 Behaviors
(Moderate Experience)
Participates in the redesign of organizational structures to reflect business priorities.
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Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
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Level 5 Behaviors
(Mastery)
Forecasts the short-term and long-term impact of various business cases on P&L performance.
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Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Lists the basic obstacles, challenges, and potential problems in technology advising.
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Level 2 Behaviors
(Light Experience)
Supports management for formulating advising solutions to address basic business issues.
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Level 3 Behaviors
(Moderate Experience)
Utilizes technology advising tools to identify and provide interventions for technology issues.
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Level 4 Behaviors
(Extensive Experience)
Provides advice for continuous improvement to integrate our technology and improve our processes.
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Level 5 Behaviors
(Mastery)
Leads in developing and implementing technology advising tools to optimize functions in our workplace.
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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.