Senior Manager Enterprise Logistics Engineering
Listed on 2026-07-06
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Job Summary and Qualifications
The Senior Manager, Enterprise Logistics Analytics & Optimization will lead the design, execution, and sustainment of enterprise logistics analytics capabilities across the network. This role owns advanced data modeling, cost-to-serve analytics, and network optimization initiatives that enable commercial monetization and operational performance improvement.
This position serves as the technical and commercial analytics lead within Enterprise Logistics, translating complex modeling outputs into executive-level insights and shaping program strategy.
What You Will Do in this Role:Enterprise Logistics Program Leadership
- Lead analytics work streams across enterprise logistics initiatives
- Own development and governance of cost-to-serve and monetization models
- Support CSA renegotiation strategy with data-driven financial modeling
- Translate analytics into executive-ready materials for senior leadership
- Architect and maintain enterprise-level data models
- Lead SQL and Python-based analytics solutions
- Design and oversee optimization scenarios including network design and capacity modeling
- Serve as internal subject matter expert for network modeling tools such as Optilogic.
- Partner with Finance to validate revenue and margin impact
- Develop financial sensitivity models and scenario analysis
- Quantify value realization and track performance against targets
- Establish modeling standards, documentation, and version control
- Build and institutionalize repeatable analytics frameworks
- Mentor and develop analysts
- Support long-term sustainment of installed capabilities
Experience and Education
- 6–10+ years in supply chain analytics, operations research, consulting, or transformation roles
- Experience leading modeling or optimization programs — Required
- Bachelor’s degree in Engineering, Operations Research, Supply Chain, Data Science, or related quantitative field required
- Master’s in Industrial Engineering, Operations Research, Analytics, or related technical discipline preferred
- Advanced SQL and strong Python proficiency — Required
- Deep understanding of optimization and modeling concepts — Required
- Strong financial acumen and cost-to-serve modeling capability — Required
- Executive communication and presentation skills – Required
- Ability to lead cross-functional initiatives — Required
- Systems thinking across ERP and supply chain environments — Required
- Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services
- Wellbeing support
, including free counseling and referral services - Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence
- Savings and retirement resources
, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling - Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing
- Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts
Learn more about Employee Benefits
Note:
Eligibility for benefits may vary by location.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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