Senior Manager, Analytics & Solutions

We are looking for a talented Senior Manager, Analytics & Solutions to join our team specializing in Sales and Service for Cummins, Inc. in Columbus, IN.

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

• Understand Business Needs Deeply: Continuously build knowledge of the business to identify and anticipate BI requirements that support strategic decision-making.
• Collaborate with Stakeholders: Partner with functional leaders to implement BI strategies that align with their goals and enhance operational insights.
• Develop and Maintain BI Roadmaps: Create structured plans for BI deliverables, including timelines, priorities, and milestones to guide development and execution.
• Ensure Accurate BI Support: Lead the BI team to deliver reliable, high-quality data and insights that meet the needs of assigned functions.
• Integrate Customer Perspectives: Use customer feedback and product usage data to shape BI content that improves customer satisfaction and drives revenue growth.
• Manage Service Providers: Select, evaluate, and oversee internal and external BI service providers, ensuring compliance with Cummins processes and standards.
• Design and Deliver Dashboards: Create standardized KPIs and dashboards for global use, while also developing custom solutions tailored to specific user needs.
• Interpret and Communicate Data Insights: Analyze data accurately, draw meaningful conclusions, and ensure the right stakeholders receive actionable insights to inform decisions.

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

• Business insight - Understanding the organization's goals, market dynamics, and industry trends to make informed decisions. Use data to identify opportunities and risks. Stay updated on industry news, competitors, and market shifts.
• Communicates effectively - Tailor your messaging to different stakeholders based on their priorities and language. Use multi-mode communication to ensure clarity and accessibility.
• Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals.
• Strategic mindset - Thinking ahead and developing innovative strategies that position the organization for future success.

Education/Experience: 

• Demonstrated role competence is required. College, university, or equivalent bachelor’s degree in Data sciences, or in Economics, Computer Science, or Statistics / relevant field with a quantitative focus, or experience equivalent is required. Significant practical experience preferred. 
• This position may require licensing for compliance with export controls or sanctions regulations.  
• 5+ years’ experience is required in analytics, engineering, or management consulting or equivalent analytical experience. 
• Experience in managing business intelligence and analytics projects from inception to delivery is required, including developing structured solutions. 
• Demonstrated ability to partner with stakeholders is preferred, including to define analysis requirements and priorities and to implement strategy while balancing short- vs long-term deliverables. 
• Exceptional business acumen is preferred, including an understanding of business drivers and value creation in a customer-focused organization.
• Location flexible.

Additional Responsibilities:

• Serves as a strategic partner, with cross functional teams, to ensure alignment and sustainability to a wide range of global stakeholders, including Service and Support, Business Solutions, Product Solutions and Engineering, and Sales and Aftermarket Enablement.
• Responsible for identifying opportunities and developing AI-powered solutions to improve efficiency and productivity across the organization.
• Drives business objectives by leveraging data science methodologies to solve complex business problems for all business units.
• Oversees the design and implementation of business intelligence projects and AI models, including planning, budgeting, and integration.
• Ensures the accuracy and quality of data analysis, delivering actionable insights to stakeholders worldwide.
• Translates complex data science outputs into clear, business-focused language, ensuring model capabilities are verified by domain experts.
• Develops and