Senior Functional Consultant (Supply Planning) - Delivery - Manufacturing

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions-even billions-in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

About the role

Senior Functional Consultant-Supply Planning

What you'll do for us

The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders.

Design

• End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders
• Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices.
• Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others.
• Ability to convert business logic to technical platform design, including knowledge of platform infrastructure.

Configuration

• Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets.
• Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems.

Data Analytics

• Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization to the client management.
• Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans.

Testing

• Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment.
• Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues.
• Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing.

Communication

• Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects.
• Plan, develop and deliver Super User and End User training, for a global user base.
• Mentor junior analysts to familiarize them with technical and business aspects of a project.
• What you'll have...

Education: Master's Degree required with 1 year of experience or Bachelor Degree with 3 years experience. Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics

• Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization
• Experience presenting on complex topics in a clear, concise, and easily understood manner

Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design & development, UAT/SIT, go-live/cutover and value realization is preferred

• Experience using agile methodology to deliver large scale enterprise implementations
• Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred
• Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required
• Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required
• Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred
• Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred