Principal - Data Management, Business Risk Intelligence

We are looking for a talented Principal- Data Management, Business Risk Intelligence to join our team specializing in Systems/IT for our Corporate organization in Columbus, IN.

In this role, you will make an impact in the following ways:

• Lead the development and implementation of secure technology solutions by partnering with stakeholders to align cybersecurity capabilities with business needs.
• Drive the integration and optimization of cybersecurity system configurations, ensuring enterprise systems meet performance, security, and compliance requirements.
• Advance the organization's cybersecurity posture by conducting system engineering and research to develop innovative security solutions that support strategic business objectives.
• Design secure hardware, operating systems, and software architectures that proactively address cybersecurity risks and safeguard critical business assets.
• Oversee and manage penetration testing activities, identifying vulnerabilities and ensuring appropriate remediation actions are taken to strengthen enterprise security.
• Influence operational and financial success by contributing to budgeting, forecasting, annual operating plans (AOP), purchase order management, and financial oversight activities.
• Lead, coach, and develop high-performing teams, managing employees, contractors, and resources to achieve both immediate deliverables and long-term strategic goals.
• Build trusted relationships across the organization, leveraging Business Relationship Management practices to deliver measurable business value, strengthen collaboration, and drive successful cybersecurity outcomes.

Responsibilities

To be successful in this role you will need the following:

Security & Compliance Principles - Applies standards, tools, and best practices to embed security, privacy, and compliance into the design/build/test/operate lifecycle for products, services, apps, systems, software, and configurations-balancing protection, efficiency, and cost.
Programming Principles - Applies programming languages, frameworks, and patterns to design, write, configure, test, and maintain software/solutions/systems that are efficient, secure, scalable, and reliable.
Data Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance-enabling trusted, scalable, cost-conscious data use.
Modern Development Practices - Applies modern engineering practices and tools-such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code-to accelerate delivery, improve quality, and reduce risk across the SDLC.
Solution Design - Translate business requirements into integrated designs, architectures, patterns, and system interactions that deliver customer value and align with enterprise standards and subject-matter platforms.
System Architecture- Creates and evolves architecture system blueprints developing reusable patterns and roadmaps to ensure scalability, resilience, security, and long-term efficiency.
Demonstrating Mastery - Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks through targeted credentials and rigorous proficiency, future-proofing organizational skills against strategic needs.
Strategic and Innovative Thinking - Evaluates business and technology trends, anticipates future needs, develops creative approaches, and frames innovations to shape strategy and create durable value with cost-aware innovation.
Technical Passion & Drive - Models curiosity and excitement for technology by self-initiating continuous development, experimenting with emerging technologies, and identifying insertion opportunities that accelerate business performance.
Driving Effective Outcomes - Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences while navigating ambiguity and change to drive momentum and deliver consistent results.
Engaging with Impact - Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action across teams and functions to accelerate outcomes.
Values Differences - Recognizing the value that different perspectives and cultures bring to an organization.
Ensuring Customer Success - Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions, delivery, adoption, satisfaction, and realized value through sustained engagement that builds partnership and trust.

Education, Licenses, Certifications:
College, university, or equivalent degree in Computer Science, or Information Technology, or related subject, or relevant equivalent experience required. Certified Information Systems Security Professional (CISSP) or similar certification preferred. This position may require licensing for compliance with export controls or sanctions regulations.

Experience:
5-7 years of cybersecurity work experience is required. 2 years of experience with Cloud technology and concepts preferred.

Qualifications

Business Risk Data Strategy

Define and maintain the Business Risk Intelligence (BRI) data strategy and roadmap.

Establish enterprise data capabilities that enable emerging risk identification, executive decision support, and intelligence-driven risk management.

Align data management initiatives with enterprise risk priorities, AI strategy, and business objectives.

Enterprise Risk Data Management

Integrate and manage enterprise risk data from Cybersecurity, Enterprise Risk, Audit, Compliance, Privacy, Legal, Supply Chain, Operational Technology, Finance, and external intelligence sources.

Establish standards for enterprise risk data classification, ownership, metadata, and lifecycle management.

Improve data quality, consistency, and accessibility to support trusted intelligence and analytics.

AI & Advanced Analytics

Develop AI-ready data models that support predictive analytics, generative AI, knowledge management, and executive reporting.

Partner with the Automation Specialist to implement AI-enabled intelligence capabilities and advanced analytics.

Evaluate emerging AI technologies and promote responsible AI practices within the BRI capability.

Risk Intelligence

Correlate enterprise risk data to identify trends, emerging risks, and cross-domain relationships.

Develop data models supporting Key Risk Indicators (KRIs), Early Warning Indicators (EWIs), and executive dashboards.

Enable intelligence-driven insights that improve enterprise risk prioritization and decision-making.

Governance & Integration

Partner with Enterprise Data & Analytics, Cybersecurity, Enterprise Risk Management, Audit, Compliance, Privacy, Legal, Digital, and IT teams.

Establish governance processes for enterprise risk data ownership, stewardship, and quality.

Ensure BRI data capabilities integrate with GRC, vulnerability management, threat intelligence, operational technology, business intelligence, and AI platforms.

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Cybersecurity, Business Analytics, or related field. Experience in enterprise data management, analytics, AI, business intelligence, or cybersecurity. Knowledge of data governance, Power BI, SQL, Microsoft Fabric/Azure, AI technologies, and enterprise risk management preferred.

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.