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Remote Automation Operator Jobs in Indiana (NOW HIRING)

... your remote home office. In this role, you will make an impact in the following ways: Own the ... Enforce global standards for reuse, automation, error handling, and auditability. * Approve design ...

It provides applications focused on sales, customer service, marketing automation, e-commerce ... Help document and maintain standard operating procedures for both program and data management ...

Knowledge of building automation systems and HVAC control logic. CO2 trans‐critical or cascade ... Remote Work Arrangement:* This role is fully remote. As a remote colleague, you may be required to ...

... operating systems, and security best practices. • Experience with SIEM or SOAR, endpoint ... automation tools (e.g., PowerShell, Python, Bash). • Exposure to Zero Trust Architecture ...

Solutions Architect

Indianapolis, IN · On-site +1

$60.25 - $79.25/hr

Solutions Architect Remote - USA Supply chain complexity is accelerating, and the companies that ... Translate technical architecture into business outcomes for C-suite stakeholders (CTO, COO, VP of ...

Credentialing Manager

Indianapolis, IN · Remote

$95K - $120K/yr

Remote (US) or Hybrid (City, State) Type: Full-time Reports to: Head of Operations / Director of ... The team is scaling quickly, operating in multiple states, and credentialing is core to the ability ...

Remote, USA. Company Overview Performing over 80 million utility locates annually, USIC is the most ... Operating at the intersection of security engineering, incident response, and program maturity, the ...

New

$200K - $260K/yr

Define and maintain dashboards, metrics, and operating cadences to track adoption, supply health ... Exposure to AI-driven products, experimentation, or automation platforms * Background in consumer ...

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Level up how ML teams work with data Develop automation and tooling that give ML engineers deep ...

Define and maintain dashboards, metrics, and operating cadences to track adoption, supply health ... Exposure to AI-driven products, experimentation, or automation platforms * Background in consumer ...

Define and maintain dashboards, metrics, and operating cadences to track adoption, supply health ... Exposure to AI-driven products, experimentation, or automation platforms * Background in consumer ...

Define and maintain dashboards, metrics, and operating cadences to track adoption, supply health ... Exposure to AI-driven products, experimentation, or automation platforms * Background in consumer ...

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Showing results 1-20

Remote Automation Operator information

What are the key skills and qualifications needed to thrive as a Remote Automation Operator, and why are they important?

To thrive as a Remote Automation Operator, you need a solid understanding of industrial automation systems, process control, and relevant technical qualifications such as an associate degree in instrumentation or automation technology. Familiarity with SCADA systems, PLC programming, and remote monitoring tools is typically required, along with certifications like ISA CAP or similar. Strong problem-solving abilities, attention to detail, and effective communication skills help operators respond quickly and work well with distributed teams. These competencies ensure safe, efficient, and reliable operation of automated systems in remote or industrial environments.

How does a Remote Automation Operator typically collaborate with on-site teams to ensure seamless system performance?

Remote Automation Operators frequently coordinate with on-site engineers and technicians through scheduled video calls, instant messaging platforms, and detailed shift handover reports. This collaboration is essential for troubleshooting unexpected issues, planning maintenance, and optimizing automated workflows. Effective communication ensures that both remote and on-site teams are aligned on system status, task priorities, and any emerging challenges. Building strong relationships with colleagues in different locations helps create a cohesive work environment and supports continuous system improvement.

What is a Remote Automation Operator?

A Remote Automation Operator is a professional responsible for monitoring, controlling, and troubleshooting automated systems and machinery from a remote location. They use specialized software and interfaces to ensure that industrial processes, manufacturing lines, or IT systems run smoothly without onsite supervision. This role often involves responding to alerts, optimizing system performance, and collaborating with technical teams to resolve issues. Remote Automation Operators are vital in industries such as manufacturing, energy, and IT, where continuous system operation is crucial.

What is the difference between Remote Automation Operator vs Remote Data Entry Specialist?

AspectRemote Automation OperatorRemote Data Entry Specialist
Required CredentialsTechnical certifications, automation trainingBasic computer skills, data entry experience
Work EnvironmentMonitoring automation systems, troubleshootingInputting data into databases or systems
Employer & Industry UsageManufacturing, IT, logisticsHealthcare, finance, retail
Common Search & Comparison IntentUnderstanding automation roles, technical skillsData entry tasks, remote work options

The Remote Automation Operator typically handles monitoring and managing automated systems, requiring technical skills and certifications. In contrast, a Remote Data Entry Specialist focuses on inputting and managing data remotely, often with minimal technical requirements. Both roles are remote, but they serve different industry needs and skill sets.

Quantum - Data Conversion Lead

Quantum - Data Conversion Lead

Cummins

Indianapolis, IN • On-site, Remote

$120K - $180K/yr

Full-time

Posted 12 days ago


Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

104th of 515 rated manufacturers


Job description

Job Description
We are looking for a talented Quantum - Data Conversion Lead to join our team in Systems/Information Technology from your remote home office.
In this role, you will make an impact in the following ways:
Own the outcome
  • Be the single owner for data readiness for each release, country, and plant-clean, complete, and on time.
  • Define the data conversion strategy, standards, and guardrails, and ensure consistent adoption.

Plan & prioritize
  • Own the end-to-end data conversion plan (objects, cycles, dependencies, milestones).
  • Prioritize the conversion backlog with Build, Functional, and Test leads.
  • Align data loads with environment refreshes and testing cycles (SIT, E2E, UAT, PAT).

Lead day-to-day execution
  • Review overnight data loads and conversion results; triage failures and data quality issues.
  • Direct daily work for data engineers and vendor SI partners to resolve root causes.
  • Ensure mappings, transformation rules, and reconciliation steps are accurate and repeatable.

Coordinate across tracks
  • Partner with Integration Leads to align interfaces and conversions (structures, timing, cutovers).
  • Collaborate with Functional Leads to validate business rules and required data shapes.
  • Work with Testing teams to ensure clean, stable data is available and defects tied to data are resolved.

Design governance
  • Lead reviews of conversion designs, mappings, and exception handling.
  • Enforce global standards for reuse, automation, error handling, and auditability.
  • Approve design changes that impact downstream processes, performance, or compliance.

Quality & controls
  • Define and enforce Definition of Ready / Definition of Done for conversion objects.
  • Set and monitor data quality thresholds (accuracy, completeness, duplicates, referential integrity).
  • Ensure reconciliation and business sign-offs are completed for each release.

Issue management & decisioning
  • Make day-to-day trade-off decisions (fix at source vs. transform vs. post-load correction).
  • Escalate issues only when schedule, cost, compliance, or scope is materially impacted.
  • Drive root-cause analysis for recurring issues and institutionalize permanent fixes.

Cutover readiness
  • Own the data conversion runbook, timing, staffing, and contingency plans.
  • Validate mock conversions and ensure cutover rehearsals meet timing and quality targets.
  • Lead data activities during go-live and support rapid stabilization.

Stakeholder communication
  • Provide clear, concise status updates-what's on track, what's at risk, and recommended actions.
  • Translate technical data issues into business impact.
  • Communicate readiness, risks, and mitigation plans to program and leadership teams.

People & partner leadership
  • Coach data engineers on scalable, reusable conversion patterns.
  • Manage vendor SI partners to outcomes and delivery commitments.
  • Build internal capability over time to reduce long-term dependency on external partners.

Compliance & auditability
  • Ensure data conversions comply with security, privacy, and retention requirements.
  • Maintain end-to-end data lineage and traceability from source to SAP.
  • Keep documentation current (mappings, rules, reconciliation templates, approvals).

Continuous improvement
  • Industrialize the data conversion factory through automation and standardization.
  • Track KPIs such as pass rates, reconciliation variances, and cycle times.
  • Capture lessons learned and scale improvements globally.

Responsibilities
To be successful in this role you will need the following:
  • Collaborates - Build strong partnerships across business, IT, and functional teams by proactively engaging stakeholders, aligning on shared goals, and contributing to outcomes that span organizational boundaries.
  • Communicates Effectively - Deliver clear, tailored communications across multiple formats (verbal, written, visual) to ensure technical and non-technical audiences understand decisions, risks, tradeoffs, and next steps.
  • Customer Focus - Establish trusted relationships with internal and external customers by deeply understanding their needs and consistently delivering solutions that create measurable value and positive user outcomes.
  • Decision Quality - Make timely, well-informed decisions using available data, technical standards, and business context, while balancing risk, urgency, and long-term impact.
  • Manages Ambiguity - Move work forward effectively when requirements, data, or direction are unclear by asking the right questions, testing assumptions, and iterating toward clarity without stalling progress.
  • Manages Complexity - Analyze and synthesize large volumes of complex or conflicting information to identify root issues, dependencies, and practical paths forward.
  • Tech Savvy - Stay current on emerging technologies and digital tools, and proactively apply relevant innovations to improve solution quality, efficiency, and scalability.
  • Quality Assurance Metrics - Apply IT Operating Model (ITOM) measurement practices, including SDLC standards, tools, metrics, and KPIs, to validate that solutions meet intended outcomes and quality expectations.
  • Solution Design - Define end-to-end solution designs using industry standards, version control, and build/test automation, ensuring designs are buildable, measurable, secure, compliant, and aligned to business and technical requirements.
  • System Solution Architecture - Create solution patterns aligned to the Cummins Technical Reference Model (CTRM), CLEAN standards, and approved reference architectures to ensure consistency, scalability, and governance compliance.
  • Data Quality - Identify and correct data defects that impact reporting, analytics, and decision-making, supporting strong information governance across operational processes.
  • Problem Solving - Solve complex problems using a disciplined, data-driven methodology by establishing problem traceability, identifying assignable and root causes, implementing robust solutions, and preventing recurrence while protecting the customer.

Qualifications
Education, Licenses, Certifications:
  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.

Experience:
  • Significant experience in a relevant discipline area is required.
  • Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
    - Analyzing complex business systems, industry requirements, and/or data regulations
    - A strong background in processing and managing large data sets
    - Proven Architecture and design experience in Big Data open source tools including but not limited to Java, Map-Reduce, SPARK, HBase, Hive, Kafka, ODBC and SQL query language
    - Proven design and development experience in clustered compute cloud-based implementation experience
    - Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
    - Experience in building analytical solutions
    - Experience in databases and data management
    Significant experiences in the following are preferred:
    - Experience with IoT technology
    - Experience in Agile software development

Additional Responsibilities
  • Define & Lead Data migration strategy: Full ownership of migration strategy including Mock cycles, SIT, UAT, and PROD cutover.
  • Execute ETL cycles: Lead extraction, transformation, validation and load (maybe not because of the SI partner)
  • Must drive cleansing, approvals, data readiness
  • Critical partnership for data mapping & validation

Additional Competencies:
  • Experience and thorough knowledge of SAP data structures
  • Data profiling & validation tools such as BODS
  • ETL concepts

Additional Experience:
  • Delivery of multi-cycle programs
  • SAP ERP data migration experience
  • SAP business process knowledge

About Us
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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About Cummins

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Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919