Principal - Automation Specialist, Business Risk Intelligence

Cummins•Columbus, IN

5d•Onsite

About The Position

Cummins is seeking a Principal - Automation Specialist, Business Risk Intelligence to join its Systems/Information Technology team in the Corporate organization in Columbus, Indiana. The role leads cybersecurity technology design and integration, develops secure system architectures, and partners with stakeholders to deliver technology solutions that meet business, security, performance, and compliance needs. It also contributes to cybersecurity research and engineering, authorized penetration testing, financial planning, and the development of employees and teams. The position defines and maintains the Business Risk Intelligence automation strategy and roadmap, identifying ways to automate intelligence collection, analysis, reporting, and decision support. It designs and optimizes automated workflows for intelligence production, risk assessments, executive reporting, and operational processes, while using AI-enabled capabilities to improve analysis, summarization, reporting, and knowledge discovery. The role evaluates emerging AI technologies and promotes responsible AI practices. The specialist automates enterprise risk information collection, correlation, prioritization, and reporting, including processes for Key Risk Indicators, Early Warning Indicators, executive dashboards, and emerging risk monitoring. The role integrates cybersecurity, risk management, business intelligence, and enterprise platforms through APIs, connectors, and automation technologies. It collaborates across Enterprise Data & Analytics, Cybersecurity, Enterprise Risk Management, IT, Digital, and business teams; establishes governance practices; monitors performance and business value; and continuously improves automation capabilities. The role requires a degree in Computer Science, Information Technology, or a related field, or relevant equivalent experience. Five to seven years of cybersecurity work experience is required. A CISSP or similar certification is preferred, as are cloud experience and knowledge of automation and AI technologies, Microsoft Power Platform, Power Automate, Copilot Studio, Azure AI, APIs, scripting, enterprise integrations, and AI governance. Licensing may be required for compliance with export controls or sanctions regulations.

Requirements

A college, university, or equivalent degree in Computer Science, Information Technology, or a related subject, or relevant equivalent experience.
Five to seven years of cybersecurity work experience.
Experience in automation, AI, workflow orchestration, business intelligence, cybersecurity, or enterprise technology.
Ability to apply security, privacy, and compliance practices throughout the design, build, test, and operate lifecycle.
Programming knowledge and ability to design, configure, test, and maintain efficient, secure, scalable, and reliable solutions.
Ability to govern, model, secure, implement, and observe data flows.
Knowledge of modern engineering practices and tools, such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code.
Ability to translate business requirements into integrated designs and architectures aligned with enterprise standards.
Ability to create and evolve system architecture blueprints, reusable patterns, and roadmaps.
Ability to communicate clearly, align stakeholders, collaborate across teams, and drive effective outcomes.
This position may require licensing for compliance with export controls or sanctions regulations.

Nice To Haves

CISSP or similar certification.
Two years of experience with cloud technology and concepts.
Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, Engineering, Data Analytics, or a related field.
Knowledge of Microsoft Power Platform, Power Automate, Copilot Studio, Azure AI, APIs, scripting, enterprise integrations, and AI governance.

Responsibilities

Lead the design, integration, and alignment of cybersecurity technologies and system configurations to meet security, performance, and business requirements.
Partner with organizational stakeholders to evaluate needs, develop technology solutions, and support secure business outcomes.
Conduct cybersecurity engineering and research to develop capabilities and embed security controls in enterprise systems.
Design and oversee secure hardware, operating system, and software application architectures addressing cybersecurity risks and compliance requirements.
Manage and coordinate authorized penetration testing, including vulnerability identification, assessment, and remediation.
Contribute to annual operating plans, budget management, forecasting, purchase orders, and invoice reconciliation for the cybersecurity function.
Lead, mentor, and develop employees, contractors, and other team members, managing resources to meet near-term and strategic objectives.
Build business partnerships and high-performing teams through performance management, development planning, coaching, and Business Relationship Management.
Define and maintain the Business Risk Intelligence automation strategy and roadmap.
Identify automation opportunities across intelligence collection, analysis, reporting, and decision support, aligning initiatives with enterprise AI strategy, business priorities, and risk management objectives.
Design, implement, and continuously optimize automated workflows for intelligence collection, risk assessments, executive reporting, and operational processes.
Use workflow orchestration, business process automation, and intelligent task routing to reduce manual effort.
Design and implement AI-enabled capabilities, including use of Generative AI, Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI services.
Evaluate emerging AI technologies and recommend practical use cases while promoting responsible AI practices.
Automate the collection, correlation, prioritization, and reporting of enterprise risk information, including KRIs, EWIs, dashboards, and emerging risk monitoring.
Design integrations across cybersecurity, risk management, business intelligence, and enterprise platforms using APIs, connectors, and automation technologies.
Enable intelligence data movement between enterprise systems and integrate AI services with existing applications and data sources.
Collaborate with Enterprise Data & Analytics, Cybersecurity, Enterprise Risk Management, IT, Digital, and business stakeholders to identify automation opportunities.
Establish governance for automation, AI, workflow reliability, and operational resilience.
Monitor automation performance, measure business value, and continuously improve enterprise automation capabilities.
Apply security, programming, data, modern development, solution design, system architecture, strategic thinking, communication, and customer-success practices to deliver effective outcomes.