Director, Digital Partner-Supply Chain Data & Analytics

What Data & Analytics Management contributes to Cardinal Health
The Data & Analytics Function oversees the analytics lifecycle to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data & Analytics Management provides strategic oversight, leadership, and direction within the Data & Analytics function.

Summary

The Director, Digital Partner - Supply Chain Data & Analytics serves as a trusted transformation partner for the Global Supply Chain organization. The Digital Partner works with business partners to drive Run Analytics (day-to-day business insights), specific project/requests, as well as disruptive transformation initiatives. The Digital Partner is responsible for delivering tangible business value in a quick iterative (agile) development model and have the ability to scale solutions throughout the value chain.

Digital Partners will have teams/pods of resources supporting them with data engineering, data science and visualization, data automation, and data analysis. One key part of a Digital Partner’s role is to drive the shift in company culture towards true ‘digital’ culture, by conducting Gemba walks, QBRs, Roadshows, and Show & Tells with various levels of business leaders.

Responsibilities

• Engage business leaders and be a thought partner to solve complex business problems and impact critical business metrics. 
• Conducts design thinking sessions to identify the best solutions for business needs/problems.
• Transform current state business intelligence & reporting by maximizing automated data pipelines and eliminating redundant reports.
• Quantifies value success criteria’s that would lead value to be realized by P&L
• Track development, delivery & value realization. Update business via Gemba walks/ Show & tells/ QBRs. Lead Meaningful conversation on ‘trade offs’ to prioritize/ de-prioritize user stories.
• Leads and manages a team of data engineering, data science and visualization, data automation, and BI&R employees.
• Adapt operating & engagement model with business as situation demands, define clear RACI & participation at key levels.

Qualifications

• 8+ years of experience in Data Analytics, AI/ML, RPA, DPE, Business/Digital Transformation preferred.
• 5+ years of positional leadership/management experience preferred.

• Experience in Data Analytics, Data Engineering, AI/ML, RPA, DPE, Business/ Digital Transformation.
• Excels at building and cultivating relationships with senior leadership with a strong executive presence.
• Experience leading, coaching, and developing large organizations with multiple levels of leadership (i.e., leader of leaders).
• Proven record of leading large, transformative complex projects (e.g., Lighthouse projects) and delivering in alignment with business expectations.
• Skilled communicator with a proven ability to manage change effectively.
• Experience collaborating with global teams and consulting partners to drive outcomes and results.
• Ability and proven experience translating complex financial information into clear and engaging narratives to influence decisions.
• Proven record of creating innovative data analytics solutions to solve business challenges.

Anticipated pay range: $114,200-$203,695
Bonus eligible: Yes
Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

•    Medical, dental and vision coverage
•    Paid time off plan
•    Health savings account (HSA)
•    401k savings plan
•    Access to wages before pay day with myFlexPay
•    Flexible spending accounts (FSAs)
•    Short- and long-term disability coverage
•    Work-Life resources
•    Paid parental leave
•    Healthy lifestyle programs

* The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Application window anticipated to close: 04/04/2025 *If interested in opportunity, please submit application as soon as possible.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to ap