Manager Supply Chain Operations

Year    Bengaluru, Karnataka, India

Job Description

bright minds | better methods | best outcomeChainalytics, an NTT DATA company, accelerates fact-based transformation for supply chain leaders around the world. Providing world-class consulting and managed analytics services, our competencies are powered by an unrivalled passion for our core purpose: to help enterprises realize maximum value from their supply chains. Our top supply chain talent, enabled by proven, leading-edge digital assets—tools, methods, and content—deliver actionable insights and measurable outcomes to some of today's largest and most complex supply chains. With talent spanning North America, Europe, and Asia-Pacific, we serve clients globally in a borderless fashion.
Learn more at chainalytics.com or follow us on LinkedIn.
You join a team that helps craft supply chain strategies for the world's largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment.
Job Responsibilities
As Warehouse Design and Logistics Process Manager at Chainalytics, you join a team that helps design optimized warehouses for world's largest and most dynamic firms. You will also be working on supply chain process assessment, re-design, and consulting projects.
Required consulting project experience should include:

  • Warehouse Automation
  • Warehouse design (concept design, layout drawing)
  • Warehouse capacity modelling
  • Warehouse MHE selection
  • 3PL process design
  • Warehouse process design
  • Order-to-cash process design
  • Procure-to-pay process design
  • Supply chain end-to-end process assessment, business case development
Warehouse Design
  • Recommend various automation options, technologies, WMS/WCS systems to optimise warehouse operations
  • Design of the warehouse layout, MHE, and labour; build data models to calculate warehouse size and costs
  • Work closely with the client to gather, manipulate, analyze, warehouse process data to model warehouse capacity
Process Excellence
  • Run process workshops with client supply chain teams to understand current state process elements, bottlenecks, and root causes of the issues
  • Assess the maturity of client supply chain processes (using SCOR or Gartner frameworks) and recommend changes; develop a benefit case for the client
  • Create detailed order-to-cash processes working closely with supply chain operations team and service providers of clients
  • Create detailed procure-to-pay processes working closely with supply chain procurement team of clients
Qualifications:
An ideal candidate will:
  • Hold an Engineering degree (Master's preferred) in Industrial or Mechanical or Production Engineering
  • Show a minimum of six years' experience in warehouse design and operations (specific experience in consulting is a significant advantage)
  • Experience in delivering projects mentioned in the description below
  • Have recommended, designed and/or implemented a warehouse automation
NTT DATA Services is an equal opportunity employer and considers all applicants without regards to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.Job Type: Full-time

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Job Detail

  • Job Id
    JD2861566
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bengaluru, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year