Data Operations Administrator III

Exeter Finance; United States; On-site; USD 82,000 - 113,000; Full time

Job summary

Exeter Finance is seeking a Data Operations Administrator III for its hybrid office environment. The role focuses on designing, implementing, and maintaining enterprise job scheduling to support multiple applications with high availability.

You will monitor workflows, diagnose failures, and partner with users, internal teams, and vendors. The position requires strong data ops experience, scripting, and collaboration, with on‑call duties to meet operational needs.

Qualifications

• 4–6 years with Enterprise Job Scheduling/Orchestration (ActiveBatch, Control-M, Autosys)
• 4–6 years collaborating with cross‑functional teams and managing large budgets
• Extensive experience in data operations including data pipelines and integration
• Advanced knowledge of databases (SQL/NoSQL), warehousing, and cloud platforms (AWS/Azure/GCP)
• Expertise in ETL tools (Talend, Informatica, Apache NiFi) and data governance, security, and compliance
• Proficiency in scripting (Python, SQL, Bash) to streamline operations
• Proven ability to lead complex data operations projects and mentor teammates
• Strong communication with technical and non‑technical stakeholders
• Strong analytical skills to optimize performance of data operations

Responsibilities

• Design and maintain the enterprise job scheduling environment for multiple apps and high availability
• Monitor workflows, diagnose failures, and resolve incidents with users and teams
• Administer job scheduling tools per standard procedures and SLAs
• Manage file transfer and encryption processes across systems
• Participate in a 24/7 on‑call rotation for after‑hours support
• Perform ad hoc data tasks like research and data manipulation for business needs
• Collaborate with developers, operations, and PMs to build scalable scheduling solutions
• Maintain IT risk, incident and change controls with proper documentation in tickets

Skills

Data operations

Leadership

Problem solving

Communication

Scripting

Education

Bachelor's degree or related experience

Tools

ActiveBatch

Control-M

Autosys

Talend

Informatica

Apache NiFi

SQL

NoSQL

AWS

Job description

At Exeter Finance, we are committed to helping customers find the right financing for their next vehicle purchase. By building strong relationships with our customers and network of dealer partners we are able to give options that make sense, getting customers behind the wheel of their car. Every team member is integral to our success. Whether you’re at a servicing center helping customers with their loans, in the field building relationships with dealers, or supporting the company from its corporate offices, you'll enjoy a nurturing, invigorating and positive work environment.

Our vision is to be a premier finance company and lender of choice known for its People, Performance and Service.

Job Description Job Summary

This position is hybrid and will be required to be in office two times per month for collaboration working sessions.

The Data Operations Administrator III delivers high availability enterprise job scheduling solutions by proactively monitoring and administering scheduling platforms to ensure consistent system performance. Maintains operational stability through timely resolution of planned and unplanned job failures and partnership with cross-functional technical teams. Enhances scheduling reliability by applying technical expertise, optimizing processes, and supporting operational objectives.

Job Duties

• Design, implement, and maintain the enterprise job scheduling environment to support multiple applications and ensure high system availability.
• Monitor scheduling workflows, diagnose failures, and resolve incidents by partnering with users, internal teams, and vendors to identify root causes and restore functionality.
• Administer job scheduling tools and follow standardized procedures—ensuring adherence to project methodologies, operational processes, and service-level commitments.
• Manage file transfer and encryption processes, including troubleshooting and validating file movement across systems.
• Participate in a 24/7 on-call rotation, providing after-hours support to meet operational availability requirements and quickly address system failures.
• Perform data-related ad hoc tasks such as research, file manipulation, and process review to support business needs.
• Collaborate with application developers, operations, and project managers to build scalable, maintainable scheduling solutions and continuously improve performance.
• Maintain compliance with IT Risk, Incident, Problem, and Change Management controls and ensure consistent documentation and tracking through the ticketing system.

Education and Experience

• Bachelor’s degree or educational experience in related field preferred, or relevant work experience.
• 4-6 years experience with Enterprise Job Scheduling/Orchestration solutions, such as ActiveBatch, Control-M, Autosys, etc.
• 4-6 years of experience working with cross-functional teams and managing large-scale project budgets, timelines, and resources.
• Extensive experience in data operations management, including data pipeline design, data integration, and managing large-scale data environments.
• Advanced knowledge of database systems (SQL, NoSQL), data warehousing solutions, and cloud data platforms (AWS, Azure, GCP).
• Expertise in ETL tools and platforms (e.g., Talend, Informatica, Apache Nifi) and experience optimizing their use for large-scale data workflows.
• Strong experience with data governance, data security, and compliance standards such as GDPR, HIPAA, and other relevant regulations.
• Proficiency in scripting and automation tools (e.g., Python, SQL, Bash) to streamline data operations and improve efficiency.
• Proven ability to lead and manage complex data operations projects, working collaboratively with technical teams and business units to achieve objectives.
• Strong troubleshooting and problem-solving skills, with the ability to resolve complex data-related issues and implement sustainable solutions.
• Strong leadership abilities, including mentoring and guiding junior staff and fostering a collaborative and efficient work environment.
• Excellent communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders at all levels of the organization.
• Strong analytical skills with the ability to assess system performance, identify areas for improvement, and optimize data operations.

Individual compensation packages are based on various factors unique to each candidate including skill set, experience, qualifications and other job-related reasons. The pay range for this role is $81,800.00 - $112,550.00 annually.

Exeter Finance LLC is an Equal Opportunity Employer.

At Exeter Finance, we are committed to helping customers find the right financing for their next vehicle purchase. By building strong relationships with our customers and network of dealer partners we are able to provide options that make sense, getting customers behind the wheel of their car. Every team member is integral to our success. Whether you’re at a servicing center helping customers with their loans, in the field building relationships with auto dealers, or supporting the company from its corporate offices, you will enjoy a nurturing, invigorating and positive work environment. We offer individually tailored compensation packages with competitive salary and benefits, plus training and development opportunities, team member recognition and awards, and so much more. As an equal opportunity employer, we’re committed to hiring talented people, including veterans and military family members, who share our commitment to deliver outstanding customer service where we value our people, performance and service by exhibiting a Culture of Excellence.

#LI-Hybrid

California Resident If you are a California consumer and would like information about our online and offline privacy practices, please see our “California Consumer Privacy Statement” available here.