Manager, Operational Excellence Analytics

Stelle nicht auf LinkedIn

🕒 vor 18 Tagen

⚓ Rhode Island – Remote

⚓ Rhode Island – Remote

💵 $66.330 - $145.860 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

⚙️ Operations

Jetzt Bewerben

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CVS Health

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1963

⚕️ Krankenversicherung

🛒 Einzelhandel

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health ist ein führendes amerikanisches Gesundheitsunternehmen, das sich der Verbesserung des Zugangs zu Gesundheitsdiensten und deren Erschwinglichkeit verschrieben hat. Das Unternehmen verfolgt einen umfassenden Ansatz, der Gesundheitsdienstleistungen, Krankenversicherungen und das Management von Apothekenleistungen umfasst. Durch seine Tochtergesellschaften, wie Aetna und CVS Caremark, bietet CVS Health eine Vielzahl von Dienstleistungen an, die Wohlbefinden, Krankheitsmanagement und erschwinglichen Versicherungsschutz für verschreibungspflichtige Medikamente erleichtern. CVS Health betreibt Apotheken in der Nachbarschaft, bietet Versandapothekendienste an und verwaltet Programme für Spezialmedikamente, um Gesundheitsversorgung für jeden bequem und zugänglich zu machen. Angetrieben von der Mission, Menschen mit wesentlichen Pflegediensten zu verbinden, ist CVS Health bestrebt, gesündere Gemeinschaften zu fördern und das Wohlbefinden aller Menschen zu unterstützen.

Beschreibung

• Design and maintain the OpEx semantic data layer in Snowflake — building productized datasets that serve as the trusted source for OpEx reporting, modeling, and AI applications across the network. • Develop and deploy advanced analytical models (forecasting, optimization, anomaly detection, classification) and AI/ML applications that solve operational problems across the DC network. • Build and maintain automation flows (Power Automate, Python, low-code tooling) that eliminate manual reporting, data preparation, and analysis effort across the OpEx organization. • Develop network-level PowerBI dashboards on top of the semantic layer to support daily management, performance management, and process improvement at both site and network levels. • Partner with IT Data Engineering and Data Science teams on platform design, source system integrations, and shared infrastructure — ensuring OpEx requirements are well represented. • Use data, modeling, and AI to optimize WMS/LMS settings, configurations, and standards — driving measurable improvements in throughput, accuracy, labor utilization, and inventory accuracy. • Partner with routing, transportation, and inventory teams to identify and quantify business process optimization opportunities, including delivery scheduling, planning windows, and demand smoothing. • Translate analytical findings into specific, actionable recommendations for site and network leadership, including the financial business case for proposed change. • Support root cause analysis and corrective action efforts using statistical methods, modeling, and AI-assisted investigation in partnership with lean, IE, IC, and OpEx resources. • Train OpEx colleagues, site leadership, and cross-functional partners on OpEx developed tools and data-driven problem-solving methods. • Mentor OpEx colleagues on advanced analytical techniques and the proper interpretation of operational data. • Develop and maintain documentation, standard work, and learning paths that scale data literacy and AI fluency across the OpEx organization. • Serve as a technical advisor on cross-functional projects requiring advanced analytical or AI input. • Plan and execute multiple projects in parallel using strong project management discipline — managing risk, critical path, and dependencies to deliver on time. • Build the financial business case and project plan for proposed changes, then drive execution through to measurable, sustained results. • Communicate effectively across technical and non-technical audiences, balancing competing priorities across multiple teams and sites to achieve common goals.

🎯 Anforderungen

• Bachelor’s degree in Industrial Engineering, Computer Science, Data Science, or related engineering/science field, or an additional 4 years of experience in lieu of the WMS/LMS, SQL, and lean/CI requirements below. • 3+ years experience in a manufacturing or distribution center environment. • 2+ years experience with WMS and/or LMS systems and database structure, including data mapping and optimization of settings and configuration. • 1+ years working directly with lean, process improvement, continuous improvement, or similar. • 5+ years experience in a manufacturing or distribution center environment (preferred). • 2+ years experience deploying production AI/ML or generative AI applications in a business or operational environment (preferred). • 3+ years experience with semantic layer design and SQL — including data modeling, transformation logic, and performance optimization (preferred). • 2+ years experience developing in PowerBI — including data modeling, DAX, and dashboard design at the network level (preferred). • Experience with analytics engineering tools and transformation frameworks (preferred). • Experience with workflow and process automation tools (Power Automate, Airflow, n8n, or similar) (preferred). • 2+ years working directly with lean, process improvement, continuous improvement, or similar (preferred). • Strong programming and scripting skills (Python, SQL, or similar) for automation, modeling, and data engineering work (preferred). • 2+ years of demonstrated success in managing projects (preferred).

🏖️ Vorteile

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility