Supply Chain Manager

• Lead and support the development of supply chain analytics solutions focused on integrated business planning, demand forecasting, inventory optimization, procurement analytics, and operational performance improvement.


• Contribute to the design and evolution of reusable frameworks, accelerators, dashboards, forecasting models, and decision-support tools that drive measurable business outcomes.


• Participate in client discovery sessions, workshops, and advisory engagements to identify business challenges and translate them into actionable analytics and AI-driven solutions.


• Support pre-sales activities, including proposal development, solution scoping, effort estimation, RFI/RFP responses, and business case creation.


• Collaborate with consulting, data, AI, cloud, and delivery teams to design end-to-end solution architectures that align business objectives with technical implementation.


• Act as a subject matter expert throughout project delivery, providing guidance on planning processes, forecasting methodologies, inventory management practices, and procurement strategies.


• Ensure solutions are practical, scalable, and effectively adopted by business users to maximize value realization.


• Manage, mentor, and coordinate consultants and specialists within assigned projects or domain areas.


• Contribute to internal knowledge-sharing initiatives, training programs, playbooks, and capability-building activities.


• Support partnerships with technology providers and participate in thought leadership activities, including webinars, client presentations, articles, and industry research.


• Stay informed about emerging trends in supply chain analytics, AI-enabled planning, forecasting technologies, and digital transformation.

Requirements

• Approximately 15 years of professional experience across supply chain management, consulting, business transformation, analytics, or related disciplines.


• Strong expertise in one or more core supply chain domains, including planning, demand forecasting, inventory management, procurement, or supply chain optimization.


• Hands-on experience working with supply chain analytics solutions, forecasting models, optimization tools, dashboards, and decision-support systems.


• Strong understanding of key supply chain metrics and performance indicators, including forecast accuracy, service levels, inventory turnover, stock availability, safety stock, and planning efficiency.


• Experience leading or supporting client-facing engagements such as workshops, advisory sessions, solution design initiatives, business case development, or consulting projects.


• Proven ability to translate business requirements into data, analytics, AI, or technology-enabled solution concepts.


• Experience managing project streams, coordinating teams, mentoring professionals, or leading capability development initiatives.


• Strong understanding of modern analytics, cloud, data, and business intelligence technologies and their application within supply chain environments.


• Excellent communication, stakeholder management, presentation, and storytelling skills with the ability to engage both business and technical audiences.


• Experience working in global, matrixed, or cross-functional environments.


• Familiarity with tools and platforms such as Power BI, Tableau, Azure, AWS, GCP, Databricks, Snowflake, Kinaxis, Blue Yonder, o9, or similar technologies is advantageous.


• Exposure to machine learning, statistical forecasting, optimization techniques, or AI-powered planning solutions is considered a strong plus.


• Experience within industries such as consumer goods, retail, manufacturing, healthcare, pharmaceuticals, or industrial products is beneficial.

Benefits

• Opportunity to work on high-impact supply chain transformation and analytics initiatives.


• Exposure to cutting-edge technologies in data, analytics, cloud computing, and artificial intelligence.


• Leadership opportunities with significant ownership and influence over solution development and practice growth.


• Collaborative and knowledge-driven work environment with cross-functional teams and industry experts.


• Continuous learning and professional development opportunities.


• Involvement in strategic client engagements across multiple industries and geographies.


• Opportunities to contribute to thought leadership, innovation programs, and industry best practices.


• Career advancement within a growing and specialized analytics-focused practice.


• Flexible and dynamic work environment that encourages innovation and collaboration.


• Competitive compensation package aligned with experience and expertise.