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Vice President Data Science Jobs in Semmes, AL (NOW HIRING)

... to: VP, Business Development Job Summary: The CRM Manager is responsible for day-to-day ... Data Management, Data Quality & System Integration: * Maintain CRM data integrity through clear ...

This position reports to our Vice President of Electrical Service A BMS (Building Management System ... Experience in mission-critical facilities like data centers is often a plus. * Technical Knowledge

This position reports to our Vice President of Electrical Service A BMS (Building Management System ... Experience in mission-critical facilities like data centers is often a plus. * Technical Knowledge

... scientific understanding, and constantly pushing the boundaries of what's possible. You want to be ... the VP level across Supply Chain functions. * Build capability within members of the Plant and ...

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Vice President Data Science information

See Semmes, AL salary details

$36.5K

$132.2K

$233K

How much do vice president data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for vice president data science in Semmes, AL is $132,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $159,500.00 per year, depending on experience, location, and employer.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

Infographic showing various Vice President Data Science job openings in Semmes, AL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $132,247 per year, or $63.6 per hour.

Full-time

Re-posted 23 days ago


Job description

Posting Details
Position Information
Job Title
Data Warehouse Engineer
Job Description
GENERAL STATEMENT OF FUNCTION:
The Data Warehouse Engineer is responsible for extracting, transforming, and data processing by developing/managing the corresponding database tables. The individual must be proficient in database engineering and have expertise in SQL/PL-SQL. The individual maintains and writes PL-SQL procedures and functions and ensures the warehoused tables update via a Cron schedule on the Linux-based server. Data from the warehoused tables are used in internal, state and federal reports. The position requires a high amount of independent technical work and ongoing communication with the Executive Vice President of Technology & Research.
Job Duties
SPECIFIC DUTIES & RESPONSIBILITIES
Engineering Tables in the Data Warehouse:
1. Creates the database tables used to store the extracted and transformed data which are subsequently used as drivers of reports and dashboards. These tables are updated on a cron schedule on the Linux server using SQL and shell scripts to automate the process. As needs arise for new fields to be added to the tables, the Data Warehouse Engineer will code these fields, update all prior records to include the new data, and ensure the fields are populated automatically going forward.
2. Responsible for the organizational framework that standardize the process of data collection, storage, transformation, distribution, and usage.
3. Builds massive reservoirs for data and develop, construct, test, and maintain architectures and data processing systems.
Extracting Data:
4. Writes SQL queries and PL-SQL procedures and functions to extract data from multiple sources, including the Oracle database-based Banner student information system and excel spreadsheets. Extraction from survey data spreadsheets and subsequent data transformation and loading utilizes scripting in R which are written and maintained by the Data Warehouse Engineer. Custom projects based on extracted data and extracting data to the planning system in Oracle Application Express are also the responsibility of the Data Warehouse Engineer.
Maintaining Tables in the Data Warehouse:
5. Responsible for ensuring the data are updated and troubleshooting any technical issues that may arise in the data warehouse tables. Monitor the system performance by performing regular tests and integrating new features.
Verification & Validation of Data Elements:
6. Assembles data from multiple sources, cleans and analyzes complex datasets in areas, including but not limited to: internal data requests, survey research, ad hoc research projects, assessments and evaluation, program/institutional accreditation, and state/federal reporting. Interprets the data with accuracy and presents key findings to internal and external stakeholders in a clear and concise manner.
Consultation:
7. Designs and coordinates various ad hoc research projects based off of institutional need, facilitates the administration of assessments, and creates comprehensive evaluation plans.
General Responsibilities
8. Responsible for analyzing and reporting data to meet state, federal and accreditation deadlines.
9. Ensures that all reports and generated output are delivered with accuracy and by the established deadline.
10. Provides ongoing training, support and educational opportunities to our employees on IR related topics and promotes a culture of assessment at the institution. Prepares and presents employee development
educational sessions based off employee needs and the individual's area of expertise.
11. Works cooperatively and effectively with other college staff members, faculty and administration. Practices excellent customer service in their daily interaction with stakeholders.
12. Ability to work within strict deadlines. Able to work effectively in a high-pressure environment.
13. Assumes responsibility for special assignments initiated by the administration or our stakeholders.
14. High-level productive programmer who has a passion for designing and maintaining a data warehouse.
15. Works well with individuals from diverse backgrounds and personalities.
16. Adheres to all policies, procedures, and laws governing the employees of the institution.
17. Perform other duties as assigned by the Executive Vice President of Technology & Research.
Mandatory Qualifications
MANDATORY: (M1) Master's degree in Computer Engineering, Computer Science, Computer Programming, or a related field requiring database architecture (M2) Relevant coursework or significant work experience developing a database and proficiency in Oracle required. (M3) Demonstrated experience or have the experience to build reservoirs of data. (M4) Excellent oral and written communication skills; demonstrates the ability to communicate complex findings in a concise manner. (M5) Excellent time management and organizational skills.
Desirable Qualifications
DESIRABLE: (D1) A Ph.D. or significant progress towards a terminal degree, in Computer Engineering, Computer Science, Computer Programming, or a closely related field requiring database architecture or data analysis from a regionally accredited institution of higher education. (D2) Strong background and technical skills working with Ellucian Banner, FTP, SSH, Linux, Crontab, Shell Scripting, SQL, PL-SQL, R, Oracle Application Express (APEX), Windows Batch Scripting
EEO Statement
Mississippi Gulf Coast Community College is an Equal Opportunity Employer and welcomes students and employees without regard to race, color, religion, national origin, sex, pregnancy, age, or qualified disability in its programs and activities. For further information, contact the Compliance Officer P.O. Box 609, Perkinston, Mississippi, 39573, telephone number 601-528-8735, email address compliance@mgccc.edu.
The College:
The Mississippi Gulf Coast Community College District serves a four-county area with three major campuses, the Community Campus and four centers including: Perkinston Campus, Perkinston, MS; Harrison County Campus, Gulfport, MS; Jackson County Campus, Gautier, MS. Additionally, Mississippi Gulf Coast Advanced Manufacturing and Technology Center, Gulfport, MS; Keesler Center, Biloxi, MS; West Harrison Center, Long Beach, MS; and George County Center, Lucedale, MS.
State and regional associations accredit Mississippi Gulf Coast Community College, and several programs are accredited nationally. Offerings include academic, technical degree, vocational skill and adult continuing education programs.
Classification
Administration
Posting Detail Information
Open Date
06/20/2022
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
For more information on the position, please contact (Name, Address, Phone, and Email):
Adam Swanson
Executive Vice President, Technology & Research
10298 Express Drive. Gulfport 39503
228-897-4377
adam.swanson@mgccc.edu