The Director of Supply Chain Analytics will lead strategy development, client advisory, delivery excellence, team growth, and partnerships in supply chain analytics and AI.
Tasks:
1) Strategy & Practice Leadership
Define the vision, roadmap, and investment priorities for Supply Chain Analytics & AI, aligned to our go-to-market and partner strategy (e.g., hyperscalers and modern data platforms).
Build a differentiated and competitive portfolio for Supply Chain Analytics: Control Tower, Digital Twin, Demand Forecasting, Inventory Optimization, Network Design, S&OP/IBP insights, Spend Optimization, Supplier Risk & ESG analytics.
Own commercial outcomes of the portfolio (pipeline, win rate, growth, revenue, margin) and drive repeatable solutions/accelerators portfolio.
2) Client Advisory, Pre-Sales & Solutioning
Lead C-level conversations, discovery workshops, value hypotheses, and business cases; translate problems into data-driven products with measurable ROI.
Collaborate with data and AI practices to architect solution blueprints spanning business value → solution design → solution implementation → change management & adoption.
Oversee responses to proposals, RFIs, RFPs, PoVs, PoCs, scoping, estimations, and deal shaping (including outcome-based engagements).
3) Delivery Excellence & Value Realization
Act as a subject matter expert during solution development and delivery, providing guidance and expertise throughout the delivery lifecycle.
Play a pivotal role in shaping and implementing solutions, ensuring they are effectively adopted by stakeholders.
Champion value realization by driving user enablement, embedding best practices, and utilizing performance dashboards to measure and maximize business impact.
Continuously capture learnings and feedback from delivered projects to inform solution portfolio design and drive ongoing improvement, ensuring offerings remain relevant and impactful.
4) People & Capability Building
Grow and mentor a high performing team of supply chain practice consultants, solution architects and pre-sales experts.
Establish standards, playbooks, and reusable assets (use-case libraries, reference architectures, accelerators).
Foster a culture of collaboration, inclusion, and continuous learning.
5) Partnerships & Ecosystem
Develop joint offerings and field plays with platform partners (e.g., Azure/AWS/GCP, Databricks, Snowflake) and supply chain ISVs.
Contribute thought leadership: whitepapers, conference talks, webinars, and customer advisory boards.
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