1

Manager Data Analytics Engineer Jobs in Augusta, GA

... Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security. * Seeking Data Scientist that performs tasks associated with Big Data Platform management ...

... Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security. * Seeking Data Scientist that performs tasks associated with Big Data Platform management ...

... Data Center Connectivity Infrastructure We are seeking an experienced Connectivity Engineer to ... Manage vendor performance, track milestones, and ensure timely project delivery. * Support ...

... Data Center Connectivity Infrastructure We are seeking an experienced Connectivity Engineer to ... Manage vendor performance, track milestones, and ensure timely project delivery. * Support ...

Showing results 41-60

Manager Data Analytics Engineer information

See Augusta, GA salary details

$41.8K

$121.9K

$166.9K

How much do manager data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager data analytics engineer in Augusta, GA is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $129,200.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Augusta, GA? For Manager Data Analytics Engineer jobs in Augusta, GA, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Augusta, GA look for? The top searched job categories for Manager Data Analytics Engineer jobs in Augusta, GA are:
What cities near Augusta, GA are hiring for Manager Data Analytics Engineer jobs? Cities near Augusta, GA with the most Manager Data Analytics Engineer job openings:

Technical Product Manager

Augusta National Golf Club

Augusta, GA • On-site

$110 - $160/hr

Other

Posted 12 days ago


Job description

Reporting to the Senior Director of Software Engineering and Data Analytics, the Technical Product Manager is responsible for guiding the strategy, planning, prioritization, and evolution of Augusta National’s internally developed software platforms and systems. This role combines strong product management skills with the ability to understand technical concepts, collaborate closely with engineering, and ensure solutions effectively support operational needs. The Technical Product Manager will define product requirements, manage roadmaps, and partner with cross-functional stakeholders to deliver intuitive, reliable, and scalable systems.This position is a full-time, on-site role in Augusta, GA.Job Responsibilities:Develop and manage product roadmaps, prioritization frameworks, and release plans for internally developed software platforms and systems, balancing operational needs, modernization efforts, system reliability, scalability, and enhancement requests.Translate business requirements, operational needs, user feedback, and technical priorities into clear product specifications, user stories, and acceptance criteria.Collaborate closely with engineering leadership to understand system architecture, technical constraints, dependencies, and modernization opportunities while ensuring solutions remain feasible and sustainable.Lead discovery efforts by analyzing workflows, identifying system gaps, evaluating operational inefficiencies, and recommending both functional enhancements and platform improvements.Facilitate planning and delivery processes that support a hybrid development environment, balancing long-term platform initiatives, operational priorities, and business-driven timelines while adapting to seasonal and event-driven organizational needs.Own implementation and rollout activities, including communication, documentation, and training support.Partner with stakeholders across operations, engineering, and analytics to ensure alignment with organizational objectives.Performs other duties which are deemed by management to be an important part of the job.Physical demands are outlined immediately below.Physical Demands:Acceptable level of hearing and vision to perform job duties.Occasionally required to walk and work with hands and arms, lift up to 25 pounds and/or drive a golf cart.Constantly required to sit, sometimes for several hours at a time, and use their hands and fingers to operate a computer.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Qualifications:Skills/Knowledge/Attributes:Strong understanding of software products and technical systems, including the ability to engage in discussions around system architecture, integrations, data flows, technical debt, scalability, reliability.Demonstrated ability to partner effectively with senior engineering and business leaders to prioritize technical investments and platform improvements.Experience partnering closely with engineering teams in Agile, hybrid, or iterative delivery environments, including using tools such as Jira or Azure DevOps.Proficiency in using data and metrics to inform prioritization and product decisions.Experience managing internal business systems or enterprise platforms, including balancing operational support, modernization initiatives, and enhancement requests within a shared roadmap.Familiarity with analytics, reporting, or data platform initiatives.Relative Experience/Education:Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Analytics, or a related field preferred.Minimum of three (3) to five (5) years of experience in product management, technical product management or a related role supporting software products, internal platforms, or enterprise applications requiredRequired License(s):Possess a valid driver’s license and/or successfully complete the Club’s internal motor vehicle training programProjected Work Schedule:Normal work hours are 8:30 am to 5:00 pm, Monday through Friday. Must be available to work nights, weekends, and holidays.Work Authorization & Sponsorship:Applicants must be legally authorized to work in the United States at the time of hire. We are unable to provide visa sponsorship for this position. #J-18808-Ljbffr