Skills & Competencies for Data Science Senior Manager

Data Science Senior Manager job profile

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JOB SUMMARY for Data Science Senior Manager

Manages the identification and utilization of large data sets to identify trends, patterns, and provide key business insights.

JOB RESPONSIBILITIES for Data Science Senior Manager

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.

Data Science Senior Manager SALARY RANGE

BASE 50%
$201,533
TOTAL 50%
$228,651
Job Level
M03
Job Code
EX05000338
Education/Degree
Master's Degree or MBA
Reports To
Director

Data Science Senior Manager Skills and Competencies List

Proficiency Levels and Behavioural Indicators
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.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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10 general skills or competencies (Job family competencies) for Data Science Senior Manager

1 Job Family Competencies – Big Data Analytics
Proficiency Level -3
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)
Selects the appropriate tools and methods to analyze big data collected from specific sources.
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Level 3 Behaviors
(Moderate Experience)
Supervises the design and implementation of advanced big data analytics concepts and projects.
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Level 4 Behaviors
(Extensive Experience)
Oversees the collection, storage, and interpretation of data big data analytics platform.
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Level 5 Behaviors
(Mastery)
Leads the selection and implementation of big data platform technologies.
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2 Job Family Competencies – Business Intelligence
Proficiency Level -3
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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3 Data Science Senior Manager - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Science Senior Manager
Proficiency Level - 4
5 Competency for - Data Science Senior Manager
Proficiency Level - 5

10 soft skills or competencies (core competencies) for Data Science Senior Manager

1 Core Competencies – Business Acumen
Proficiency Level -3
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.
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Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
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Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
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Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
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Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
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2 Core Competencies – Technology Advising
Proficiency Level -4
Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Cites the commonly used technology advising tools in our workplace.
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Level 2 Behaviors
(Light Experience)
Advises clients regarding the products, technologies and services based on their business needs.
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Level 3 Behaviors
(Moderate Experience)
Effectively conveys technology concepts and business impacts to senior client levels.
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Level 4 Behaviors
(Extensive Experience)
Delivers training on procedures for conducting technology advising in our workplace.
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Level 5 Behaviors
(Mastery)
Adapts the latest trends in processes and computer skills relevant to technology advising.
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3 Data Science Senior Manager - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Science Senior Manager
Proficiency Level - 4
5 Competency for - Data Science Senior Manager
Proficiency Level - 5

Summary of Data Science Senior Manager skills and competencies

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.

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