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Director, Supply Chain Analytics

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • People Management
  • Knowledge Transfer
  • Mentorship
  • Presentations
  • Public Speaking
  • Collaboration
  • Communication
  • Leadership
  • Teamwork
  • Coaching

Roles & Responsibilities

  • 10+ years of experience in supply chain analytics, data science, or related field with leadership and portfolio development responsibilities
  • Proven ability to define strategy, architect solutions, and lead pre-sales engagements in enterprise environments
  • Strong track record delivering business value through analytics initiatives with ROI focus and measurable outcomes
  • Experience leading cross-functional teams (consultants, solution architects, pre-sales) and engaging senior stakeholders

Requirements:

  • Define the vision, roadmap, and investment priorities for Supply Chain Analytics and AI; build a differentiated portfolio (e.g., Control Tower, Digital Twin, Demand Forecasting, Inventory Optimization, Network Design, SOP/IBP insights, Spend Optimization, Supplier Risk ESG analytics) and own commercial outcomes (pipeline, win rate, revenue, margin).
  • Lead client advisory, discovery workshops, value hypotheses, ROI-driven business cases; translate problems into data-driven products and collaborate to architect solution blueprints spanning business value through implementation and change management; oversee responses to proposals, RFIs/RFPs, PoVs/PoCs, scoping, estimations, and deal shaping.
  • Drive delivery excellence and value realization; act as SME during solution development and delivery; ensure adoption by stakeholders; champion value realization through user enablement, best practices, and performance dashboards to maximize impact; capture learnings to inform portfolio improvements.
  • Develop people capability and partnerships ecosystem; mentor a high-performing team of consultants, solution architects, and pre-sales experts; establish standards, playbooks, and reusable assets, and cultivate collaboration with platform partners (Azure/AWS/GCP, Databricks, Snowflake) plus supply chain ISVs; contribute thought leadership through whitepapers, talks, and advisory boards.

Job description

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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