Supply Chain Architect

Supply Chain Architect

business strategy and technology

Key Responsibilities

1. Solution Architecture & Design

• Design and develop

  Control Tower architectures

  that integrate data, analytics, and workflows for proactive decision-making across supply, production, inventory, and logistics.
• Define

  target state architectures

  for supply chain visibility, planning, and execution using cloud-native platforms (either or more of - Azure, Databricks, AWS, GCP, etc.).
• Establish integration patterns between

  ERP (SAP, Oracle), MES, WMS, TMS, and planning systems

  to enable seamless data flow.
• Develop frameworks for

  real-time monitoring, exception management, and scenario-based simulation

  .

2. Domain Expertise & Process Excellence

• Deep understanding of

  Manufacturing operations

  , including:
• Demand and supply planning
• Production scheduling and shop-floor execution
• Inventory and materials management
• Logistics and fulfillment processes
• Supplier collaboration and procurement analytics
• Define business KPIs and process maps aligned to

  control tower objectives

  (e.g., OTIF, lead time reduction, forecast accuracy).
• Partner with business stakeholders to identify and prioritize use cases for

  digital twin

  ,

  predictive supply chain

  , and

  AI-driven optimization

  .

3. Technology & Data Integration

• Lead design of

  data models, pipelines, and semantic layers

  supporting supply chain analytics.
• Work closely with data engineering teams to ensure

  data quality, lineage, and master data alignment

  .
• Define architecture patterns for integrating

  IoT, sensor data, and MES signals

  for manufacturing visibility.
• Collaborate with AI/ML teams to embed

  forecasting, anomaly detection, and prescriptive recommendations

  within control tower dashboards.

4. Implementation Leadership

• Serve as

  architectural authority

  across supply chain transformation programs.
• Collaborate with product, data, and IT teams to ensure scalable, secure, and compliant implementation.
• Guide development of

  dashboards, digital twins, and predictive insights

  on leading platforms (Databricks, Power BI, Tableau, etc.).
• Ensure solutions are aligned with enterprise data and architecture standards.

5. Stakeholder & Program Management

• Partner with senior stakeholders (VP Supply Chain, CIO, COO) to translate strategic goals into actionable architecture roadmaps.
• Mentor cross-functional teams on supply chain best practices and emerging technologies.
• Support pre-sales, proposal creation, and client workshops by articulating value through

  use cases, ROI models, and solution blueprints.

Required Skills & Experience

Functional Expertise

• 12+ years in Supply Chain domain with strong exposure to

  Manufacturing (Discrete, Process, or Pharma)

  .
• Proven experience designing or deploying

  Supply Chain Control Towers

  (Kinaxis, o9, Blue Yonder, SAP IBP, or custom-built solutions).
• Deep understanding of

  E2E supply chain processes

  — demand, supply, inventory, production, logistics, and procurement.
• Experience with

  S&OP / IBP, Supply Chain Resilience, and Network Optimization

  initiatives.

Technical Expertise

• Strong architectural skills with hands-on experience in

  Data Platforms (Databricks, Snowflake, Azure Synapse, AWS Redshift)

  .
• Knowledge of

  integration patterns (APIs, Kafka, ETL tools, MDM frameworks)

  .
• Familiarity with

  AI/ML-driven analytics

  , including demand sensing, predictive maintenance, and anomaly detection.
• Exposure to

  Visualization and BI tools

  (Power BI, Tableau, Looker).
• Experience in

  cloud-native architectures and microservices design

  preferred.

Behavioral & Leadership Skills

• Strong analytical, conceptual, and strategic thinking ability.
• Excellent stakeholder management and communication skills, including the ability to interact with C-level executives.
• Proven ability to lead cross-functional teams and drive enterprise-wide transformation initiatives.
• Experience in consulting, system integration, or enterprise solution environments is highly desirable.

Preferred Qualifications

• Bachelor’s or Master’s in Engineering, Supply Chain, or Business Management.
• Certifications such as

  APICS CPIM, CSCP

  , or

  SCOR-P

  preferred.
• Familiarity with

  Digital Twin

  ,

  GenAI for Supply Chain

  , or

  Data Mesh

  concepts is a plus.
• Previous experience with

  Databricks Supply Chain Control Tower accelerators

  or

  Azure Data Factory

  integrations is an added advantage.

Sample Use Cases they’ll Architect

• AI-enabled

  Control Tower for manufacturing and logistics visibility

  .

• Predictive inventory optimization

  using ML and demand signals.

• Production schedule optimization

  with integrated MES and ERP data.

• Supplier risk monitoring and scorecards

  using real-time analytics.

• Digital twin of the supply chain

  for simulation and scenario planning.