Job description

About Letitbex AI:

Letitbex AI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions. We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.

Position: Business Analyst – Manufacturing AI Solutions

Experience: 3-6 Years

Notice Period: Can be considered up 15 Days

Key Responsibilities

1. Shop-Floor Discovery & AI Use Case Mapping

Uncover Bottlenecks: Conduct discovery workshops with plant heads, maintenance leads, and quality directors to identify operational bottlenecks
Define Requirements: Translate complex industrial operational problems into clear, KPI-driven technical specifications, user stories, and Product Requirement Documents (PRDs) for our AI/ML team

2. SAP & AI Integration Design

Functional Data Mapping: Identify and map master/transactional data requirements from core modules—specifically SAP PP (Production Planning), PM (Plant Maintenance), and MM (Materials Management)—to feed LETITBEX AI training pipelines.
Closed-Loop Automation: Design functional end-to-end integration workflows where AI insights automatically trigger actions back into SAP via standard protocols (OData APIs, BAPIs, or SAP BTP), such as auto-generating an SAP PM Maintenance Work Order.

3. Data Auditing & Validation

Data Readiness Audits: Evaluate the quality, structure, and frequency of time-series data from shop-floor automation layers (PLCs, SCADA, MES, or Historians) to verify machine learning readiness.
UAT & Adoption Ownership: Lead User Acceptance Testing (UAT) with plant engineering teams to validate model accuracy, ensure real-world usability, and drive on-floor solution adoption.

Required Qualifications & Skills

Core Domain & Education

Technical Education: B.Tech / B.E. in Mechanical, Industrial, Production, or Chemical Engineering.
Industrial Background: 5+ years of experience working as a Business Analyst or Functional Consultant directly within Automotive, Steel, FMCG, Pharma, or Heavy Manufacturing environments.

Tech Stack & Integration Competencies

SAP & OT Literacy: Strong functional familiarity with at least two core SAP modules (SAP PP, PM, or MM) and a clear understanding of how data streams out of shop-floor systems into enterprise layers.
AI Product Lifecycle: Clear conceptual understanding of the basic machine learning lifecycle (data labeling, training vs. inference, feature inputs, and accuracy thresholds).

Added Advantage

Supply Chain Literacy: Foundational understanding of plant-adjacent supply chain logistics, including Demand Forecasting, Inventory Optimization, or Warehouse Management (WM/EWM) workflows.

Soft Skills

Bilingual Communicator: Exceptional communication skills with the unique ability to shift seamlessly from talking to a machine operator on a noisy factory floor to pitching solution value to an IT Director

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