Sample Job Description for SVP of Big Data Analytics
Job Description Management
A sample job description outlines the essential duties, responsibilities, and requirements of a specific role within an organization. It provides a clear and concise summary of what the job entails, the expectations for the position, the qualifications, and skills and competencies required to perform the job successfully.
An accurate, well-written job description example can attract qualified candidates and ensure that both the employer and employee have a clear understanding of the role. It can also serve as a basis for performance evaluations and career development plans.
Additionally, sample job descriptions are helpful in other areas of HR, such as to determine pay structure, create a sound job architecture, and ensure legal compliance with labor laws and regulations.
Matching the right person with the right background and skills to the appropriate role is critical to the success of any organization and it starts with an accurate job description.
Our job description management solution, JobArchitect, simplifies the process of creating and maintaining job descriptions, and helps companies accurately communicate a job’s required skills so that you can hire right and perform better.
SVP of Big Data Analytics Job Overview
SVP of Big Data Analytics Job Description Sample
Establishes, plans, and administers the overall policies and goals of the data science function to support the organization’s objectives.
JOB LEVEL
M06
EDUCATION/DEGREE
Master's Degree or MBA
REPORTS TO
Top Management
Salary Range
BASE 50%
$312,090
TOTAL 50%
$400,790
Job Responsibilities for SVP of Big Data Analytics
Provides strategic guidance, oversight, and direction for data science initiatives to ensure accuracy, timely delivery, and alignment with organizational goals. Allocates resources and evaluates and improves the tools, techniques, and methodologies utilized to extract and process data. Remains up-to-date on trends and developments in AI, machine learning, and data engineering.
Search Job Openings
View Job Description Templates of Similar Jobs
| Job Title | Job Description | |
|---|---|---|
| 1 | SVP of Division Sales | The SVP of Division Sales develops processes, tools, and structures to support the sales process and meet defined business objectives. Directs and develops sales strategies, operational plans, tactics, and processes that will drive revenue growth and accomplish financial objectives. Being a SVP of Division Sales creates and implements capabilities to analyze the business environment, identify and understand competitors, and retain and expand the customer base. Oversees goal-setting processes for all levels of the sales organization and uses data and technology to measure and monitor sales processes, identify issues, and enhance performance. In addition, SVP of Division Sales collaborates with internal stakeholders to communicate insights, identify market needs, and innovate new products. Builds effective sales and support teams with recruiting, mentoring, and development programs. Provides support and oversight for budget development to ensure adequate resources for sales teams, programs, and initiatives. Requires a bachelor's degree. Typically reports to top management. The SVP of Division Sales manages a business unit, division, or corporate function with major organizational impact. Establishes overall direction and strategic initiatives for the given major function or line of business. Has acquired the business acumen and leadership experience to become a top function or division head. |
| 2 | Data Governance Specialist II | The Data Governance Specialist II defines data elements and establishes policies and procedures related to the collection and accuracy of data, and performs tests on data systems. Coordinates an organization's quality, security, and maintenance of data. Being a Data Governance Specialist II requires a bachelor's degree. Ensures sufficient data quality is maintained so that the data can effectively support the business process. In addition, Data Governance Specialist II typically reports to a manager. Being a Data Governance Specialist II work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Working as a Data Governance Specialist II typically requires 4-7 years of related experience. |
| 3 | Big Data Analyst I | The Big Data Analyst I performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst I maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst I designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Big Data Analyst I typically requires 0-2 years of related experience. |
| 4 | Big Data Analyst V | The Big Data Analyst V performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst V maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst V designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst V works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Big Data Analyst V typically requires 10+ years of related experience. |
| 5 | Data and Information Architect I | The Data and Information Architect I develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data and Information Architect I may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data and Information Architect I typically requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Data and Information Architect I works on projects/matters of limited complexity in a support role. Work is closely managed. Working as a Data and Information Architect I typically requires 0-2 years of related experience. |
SVP of Big Data Analytics Skills & Proficiency Level
| Skills | Proficiency Level |
|---|---|
| Business Acumen | Level 3 |
| Talent Management | Level 4 |
| Organizational Leadership | Level 4 |