Our Supply Chain Management Team supports the world's most recognizable brands to design and implement a future-ready operating model for supply chains that balance between Cost, Speed, and Service. We enable business growth through building supply chain resilience and agility from visibility to orchestration to settlement, shifting focus from cost to high-value work that transforms customer experience.

Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology, i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency.

We are a global team and operating from various locations in Europe, North America, and India. We focus on consulting services around the topics of Customer Centricity, Procurement Experience, Supply Chain Planning, Smart Operations, and Agile Logistics.

The Role

• You would lead Supply Chain Planning workstreams in client-focused and dynamic international projects, with strong autonomy and guidance
• Act as functional and solution expert to proactively advise customers and deliver outstanding results in your areas of expertise
• Planning, conception, and implementation of complex SCM (Supply Chain Management) transformation projects over the entire project life cycle
• Contribute to business development, from the request for information to the proposal submission and presentation
• Participate actively to the development of the practice, including service offerings development support, training, and knowledge management

Requirements

• Minimum 3 years of IBP and/or Kinaxis implementation programs in roles like Functional lead, Solution Architect, or SME (alternatively: same role on industry side)
• Minimum 7 years of consulting experience in Supply Chain Planning among the following areas: Forecasting, Demand Planning, S&OP, Supply Planning, Production Planning, SC Control Tower
• Must have work experience in leading IT consulting companies
• Ideally a solution expert in one of the leading supply chain planning tools, especially SAP IBP or/and Kinaxis
• Software vendor background (SAP and/or Kinaxis)
• Strong knowledge of supply chain processes, including demand planning, inventory management, and production scheduling
• Experience in Planning, conception, and implementation of complex SCM (Supply Chain Management) transformation projects over the entire project life cycle
• Experience in evaluating existing supply chain processes and identify areas for improvement using SAP IBP or Kinaxis
• Experience in leading the implementation of supply chain solutions, ensuring alignment with client goals and industry standards
• Ideally industry experience either in Manufacturing, CGP, and/or Life Science
• Have excellent interpersonal skills and strong written and verbal communication skills in English and ideally in a second language (e.g., German, French)
• Have a broad business skill set including stakeholder management, problem-solving, and resilience
• Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
• Project-related mobility/willingness to travel
• Certification in SAP IBP or Kinaxis is a plus
• Familiarity with other supply chain management software

Benefits

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.

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Our Supply Chain Management Team supports the world's most recognizable brands to design and implement a future-ready operating model for supply chains that balance between Cost, Speed, and Service. We enable business growth through building supply chain resilience and agility from visibility to orchestration to settlement, shifting focus from cost to high-value work that transforms customer experience.

Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology, such as AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency.

We are a global team and operate from various locations in Europe, North America, and India. We focus on consulting services around the topics of Customer Centricity, Procurement Experience, Supply Chain Planning, Smart Operations, and Agile Logistics.

As a PLM Industry Expert Consulting Role - Digital Platforms, you will lead Industry X/Digital Manufacturing/Smart operations workstreams in client-focused and dynamic international projects, with strong autonomy and guidance. You will act as a functional and solution expert to proactively advise customers and deliver outstanding results in your areas of expertise.

Key responsibilities include:

• Leading and contributing to planning, conception, and implementation of complex Digital Manufacturing/Industry X transformation projects over the entire project life cycle, including collaboration with internal and external partners
• Leading and contributing to business development, from the request for information to the proposal submission and presentation
• Participating actively in the development of the practice, including service offerings development support, training, and knowledge management
• Developing methodologies and collateral to support the promotion of methods and tools, through presentations, specimen RFI/RFP content, methodologies, toolkits, and deliverables

We are looking for individuals with at least 10+ years of experience in consulting roles or worked with software vendors with significant expertise in Manufacturing solutions and demonstrate deep knowledge and proficiency in PLM/R&D systems, MES, and integration with the Supply Chain.

Required skills and experience include:

• Industry experience in specific sectors, including either of Manufacturing, Consumer Goods, and Life Sciences/Pharmaceuticals
• Deep knowledge of R&D Operations, including its challenges and opportunities
• Expertise and experience in analyzing clients' strategy, operating vision, business imperatives, and capabilities, including process improvements to meet business objectives
• Experience and expertise in assisting client business case development by estimating technology and implementation costs and effort estimation using own experience and Infosys-guided estimating tools
• Awareness and hands-on experience of all aspects of designing and constructing end-to-end solutions, including application integration and cloud architectures
• Knowledge of existing, new, and emerging digital technologies and being able to practically apply them for R&D/PLM/NPD operational processes
• Knowledge of enterprise systems, including ERP, PIM & DAM
• Broad business skill set, including stakeholder management, problem-solving, and resilience
• Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
• Excellent interpersonal skills and strong written and verbal communication skills in country's official language(s) (C1 proficiency) and English (C1 proficiency)
• Project-related mobility/willingness to travel

If you're interested in this opportunity, please apply today!

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The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus.

You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges.

You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments).

Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

Key Responsibilities:

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.

• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.

• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.

• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.

• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.

• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.

• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.

• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.

• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.

• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar.

• Expert proficiency in Python for scientific computing and robust software development.

• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).

• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO).

• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.

• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• Ability to develop, test, and deploy software effectively on Linux-based systems.

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

• Experience with Git version control, build tools, and CI/CD pipelines.

• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.

• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

Preferred Qualifications:

• Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.

• Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches.

• Experience with D-Wave’s quantum annealing platform is a plus.

• Experience with performance-critical programming languages such as C++ or Java.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.

• Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.

• Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).

• Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.

• Willingness to travel up to approximately 10%.

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