Supply Chain Manager

1) Domain & Practice Development

• →Support the development of our Supply Chain Analytics offering, with a focus on business planning, forecasting, inventory optimization, demand planning, and procurement-related analytics.
• →Help shape selected solution areas, reusable assets, and accelerators, such as demand forecasting models, inventory dashboards, planning insights, or supply chain performance monitoring tools.
• →Contribute to the roadmap for your domain area, aligned with broader practice priorities, go-to-market direction, and partner strategy.
• →Identify opportunities to improve or extend our existing offerings based on market trends, client needs, and lessons learned from delivery.

2) Client Advisory, Pre-Sales & Solutioning

• →Participate in client conversations, discovery workshops, and business needs assessments, especially around planning, forecasting, inventory, and procurement.
• →Translate client challenges into analytics use cases, solution concepts, and practical implementation approaches.
• →Participate in proposals creations, RFIs, RFPs, scoping, estimations, and solution design activities.
• →Work closely with data, AI, cloud, and delivery teams to shape solution blueprints that connect business value, analytics design, implementation, and adoption.

3) Delivery Excellence & Value Realization

• →Act as a subject matter expert during solution development and delivery, providing guidance on supply chain processes, planning logic, inventory metrics, and business adoption.
• →Support project teams in designing solutions that are practical, scalable, and relevant for planners, supply chain managers, and operational stakeholders.
• →Help ensure that delivered solutions are adopted by users and connected to measurable business outcomes.
• →Capture learnings from delivered projects and client feedback to improve future solution design and reusable assets.

4) People & Capability Building

• →Manage, mentor, or coordinate consultants and specialists working within your domain area or project stream.
• →Share knowledge and best practices related to supply chain planning, forecasting, inventory optimization, and analytics.
• →Contribute to internal playbooks, use-case libraries, reference materials, and training activities.
• →Foster collaboration across consulting, data, AI, and delivery teams.

5) Partnerships & Ecosystem

• →Support the development of joint offerings and field plays with technology partners, such as cloud platforms, data platforms, and supply chain technology providers.
• →Contribute to thought leadership activities, such as webinars, client materials, internal knowledge-sharing sessions, or articles.
• →Stay up to date with relevant trends in supply chain analytics, planning technology, AI-enabled forecasting, and inventory optimization.

• Around 15 years of professional experience in supply chain, consulting, and data analytics.
• Strong hands-on expertise in at least one of the following domains:
  planning, forecasting, inventory management, and procurement.
• Experience working with data and analytics solutions for supply chain, ideally including dashboards, forecasting models, optimization tools, or decision-support solutions.
• Practical understanding of key supply chain processes and metrics, such as forecast accuracy, bias, service level, inventory turns, stock availability, safety stock, and planning efficiency.
• Experience supporting or leading client-facing work, such as discovery workshops, solution design, business case development, pre-sales, or consulting delivery.
• Experience managing people, leading a project stream, coordinating consultants, or mentoring junior team members.
• Ability to work with technical teams and translate business requirements into analytics, data, or AI-enabled solution concepts.
• Good understanding of how modern BI, cloud, data, and analytics tools can support planning, forecasting, and inventory-related business decisions.
• Strong communication and storytelling skills, with the ability to explain complex supply chain and analytics topics to business and technical audiences.
• Experience working in global or matrixed environments.

• Experience in industries such as CPG, retail, manufacturing, pharma, healthcare, or industrial goods.
• Familiarity with platforms and tools such as Power BI, Tableau, Azure, AWS, GCP, Databricks, Snowflake, and supply chain systems (e.g. o9, Blue Yonder, and Kinaxis).
• Exposure to machine learning, statistical forecasting, optimization, or AI-enabled planning solutions.
• Experience contributing to reusable consulting assets, accelerators, or internal capability-building initiatives.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.