Advanced Analytics Mgr -Operations Research (Flex)

Job Summary

The Enterprise Network Planning Manager - Advanced Analytics is responsible for developing leading edge optimizations and analytics-based decision support tools. He/She develops models and algorithms and maintains products, programs, and solutions that impact cost management for all UPS operations, acquisitions, pricing, and performance improvement.

 

The Enterprise Network Planning Manager - Advanced Analytics establishes enterprise processes for strategic network planning and integration to maintain consistent planning approaches. In addition, he/she identifies operations enhancement opportunities and ensures the success and relevance of analytical projects. This position applies state-of-the-art analytical and optimization techniques in Operations and strategic transportation applications. This position may manage analysts.

Other Duties

• Develops and prototypes algorithms to ensure optimization results satisfy problem statements and business needs.
• Develops hypotheses, approaches (i.e., analytic plans and methodologies), tools, products, and solutions to solve problems and increase profitability.
• Presents analytic findings and recommendations to management to define problems, to propose business cases and strategies, and to gain support.
• Uses advanced mathematical techniques (e.g., data envelope analysis, neural networks, integer programming, forecasting techniques, etc.) to rank or quantify customer performance and value.
  • Uses prediction methodologies (e.g., neural networks, decisions trees, link analysis, genetic algorithms, etc.) to identify potential new users of new and enhanced products.
• Participates in cross-functional team meetings to identify areas where advanced analytical support is needed.
• Leads the analysis and integration of tools and methods to provide desired results from models and requirements
• Communicates analytical results to stakeholders to ensure the solution is effective and desired results are achieved.
• Conducts technical research to determine relevant data.
• Explores relevant model data to gain insight of variables and identify relationships with existing data.
• Utilizes appropriate mathematical and statistical techniques and draws valid conclusions to understand the advantages, disadvantages, and underlying assumptions of mathematical methods.

 Preferred Competencies

• Assesses Business Needs: Monitors the business need to identify any changes; breaks the business down into smaller components to better prioritize where attention should be focused; identifies related business needs; knowledgeable about what information to look at to make an assessment; demonstrates a thorough understanding of the business’ long-term needs; creates solutions designed to fit current and future needs.
• Project Management: Develops project management plans and leads the implementation for basic projects of short duration requiring limited coordination and resources; supports initiatives with well-defined project needs and cross-functional roles/responsibilities throughout the project life cycle; manages minimal organizational resistance to cross-functional project demands; employs project management tools and technology (e.g., Microsoft Project, Program Management Group website, etc.) appropriately.
• Project Planning: Develops and executes project management plans for basic projects of short duration requiring limited coordination and resources; supports initiatives with well-defined project needs and cross-functional roles/responsibilities throughout the project life cycle; manages minimal organizational resistance to cross-functional project demands; employs project management tools and technology (e.g., Microsoft Project, Program Management Group website, etc.) appropriately.
• Risk Management: Identifies and evaluates risks; determines and applies appropriate risk treatment(s).
• Statistical Analysis: Demonstrates extensive knowledge of statistical sampling, tests, and analyses and chooses the most appropriate method; demonstrates extensive knowledge of multivariate and generalized linear models and time series models; demonstrates an ability to interpret results and draw conclusions from analyses; troubleshoots errors in data, models, and interpretation; creates processes for improving the integrity of existing data.
• Supply Chain Management: Demonstrates a detailed understanding of supply chain concepts; makes recommendations for changes to solve supply chain problems.
• Technology Knowledge: Leverages technological knowledge to achieve business objectives; resolves technological issues impeding work; adapts technological information, facts, or data to varying situations or groups; recommends changes to technological approach based upon knowledge of trends and best practices.
• Work Methods, Processes, Flows Design: Identifies root causes of recurrent workflow failures; estimates time and cost to implement new work methods, processes, and flows; recommends design changes to basic work methods, processes, and flows.

MINIMUM QUALIFICATIONS

• Master’s degree – Industrial Engineering or Operations Research – Preferred
• PhD degree - Industrial Engineering or Operations Research – Preferred
• Experience with object-oriented programming languages
• Experience using optimization solvers such as CPLEX or Gurobi - Preferred
• Experience developing and managing large-scale simulation model using discrete event simulation tool such as ARENA or SIMIO - Preferred
• Experience with Network Optimization Software - Preferred

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law