Data Science Manager for Supply Chain

Accenture Data & AI for Supply Chain Team We are a global Data & AI for Supply Chain Center of Excellence with 200+ professionals, transforming supply chain operations by turning data into a strategic advantage. Our expertise drives operational optimization, enhanced agility, and smarter decision-making across global supply chains.

• Supply Chain Planning – AI-driven demand forecasting, inventory optimization, and planning solutions to enhance agility and efficiency.
• Fulfillment & Network Optimization – Advanced analytics to optimize logistics, warehouse management, distribution, network and last-mile delivery, improving speed, cost, and service levels.
• Manufacturing – AI, machine learning, and IoT to drive predictive maintenance, production efficiency, and quality control in smart manufacturing.

Your role As we continue to grow, we are looking for an experienced Manager to lead teams and projects within our group. In this role, you will oversee client engagements, manage multidisciplinary Data&AI teams, and contribute to business development, ensuring that our AI-driven solutions deliver maximum value.

We seek analytical, strategic, and impact-driven leaders passionate about leveraging AI and data to transform supply chains.

You should be able to manage client relationships, oversee project execution, and develop new business opportunities while guiding and mentoring teams.

• Bachelor’s or Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related field.
• Proficiency in English (additional languages are a plus).
• 5+ years of experience in Data & AI or related fields, with at least 2 years in a leadership or managerial role.
• Proven experience in leading teams, client engagements, and business development efforts.

• Programming:
  Python, R, SQL
• Operation Research & Simulation: LP, ILP, Heuristics/Meta-Heuristics, Discrete Events Simulation, digital twins.
• Machine Learning & AI:
  Forecasting, predictive modeling, optimization algorithms.
• Generative AI: LLMs, AI-driven scenario generation, synthetic data modeling, and workflow automation.
• Cloud & Big Data:
  Experience with Azure, AWS, or GCP, including AI/ML services.
• Supply Chain Solutions:
  Familiarity with o9, Blue Yonder (BY), SAP IBP, or similar tools.
• Data Engineering & Visualization:
  Large-scale data processing, market solutions/platforms (Databricks, Snowflake, ..), and tools like Power BI, Tableau, or Looker.

• Leadership & Team Management:
  Experience leading multidisciplinary teams (data scientists, engineers, business consultants) and fostering a high-performance culture.
• Business Acumen & Strategic Thinking:
  Ability to connect AI solutions to business impact, optimizing supply chain efficiency, cost, and resilience.
• Client Engagement & Communication:
  Skilled at building relationships with senior stakeholders, translating complex analytics into business-relevant insights.
• Innovation & Agility:
  Ability to adapt quickly in fast-changing environments, driving continuous improvement and innovation.
• Business Development & Proposal Management:
  Experience developing commercial proposals, defining project scopes, and identifying new opportunities.

• Lead high-impact AI & analytics projects with global clients.
• Work alongside a team of 200+ data scientists and engineers, including 20% PhDs in Mathematics, Computer Science, Physics, or Statistics.
• Drive cutting-edge AI innovation, including Generative AI applications in supply chain.
• Enjoy a flexible, hybrid work model in a Great Place to Work- recognized company.

• Comprehensive insurance (medical, life, and accident).
• Wellness programs and medical…