Enterprise AI Value Strategy -Supply chain+Data science + AI - Analyst

Sigma Allied Services; Pune District, Mumbai, Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Sigma Allied Services seeks an Analyst with 0–2 years of supply chain experience to shape AI strategy and use cases across Demand to Fulfillment. The role includes BRD/FRD support and client-facing advisory duties in a multi-city setting.

Responsibilities cover AI architecture alignment with ERP/planning tools, ROI analysis, and data foundations work, requiring strong communication and AI concept familiarity.

Qualifications

• 0–2 years of experience in supply chain, operations, business analysis, or related field.
• Familiarity with AI concepts including Agentic AI and AI use-case identification.
• Experience writing BRDs/FRDs and functional specs in academic or professional settings.
• Ability to synthesize data into clear, structured insights and recommendations.
• Experience using AI tools (GenAI platforms) in academic or professional contexts.
• Strong written and verbal communication for non-technical audiences.

Responsibilities

• Identify, assess, and prioritize AI use cases across supply chain domains (Demand Planning, Supply Planning, Manufacturing, Procurement, Aftermarket, Fulfillment).
• Support BRDs and FRDs grounded in supply chain knowledge and client context.
• Contribute to AI reference architectures for supply chain environments with ERP/planning tools.
• Assist in crafting AI value cases and ROI/timeline analyses for supply chain AI initiatives.
• Support client workshops and discovery sessions; prepare materials and capture requirements.
• Prepare client presentations, roadmaps, and strategy decks translating AI concepts for leaders.
• Apply Design Thinking to problem Definition and solution ideation with client teams.
• Maintain repository of supply chain AI frameworks, benchmarks, and case examples.

Skills

Enterprise AI

Supply Chain

Data Science

Education

MBA/Master’s in related field

Engineering/Information Systems preference

Tools

Power BI

Tableau

Python

SQL

Job description

Role & responsibilities

Analyst 2+ yrs

Mandatory skills: Enterprise AI + Supply Chain + Data Science

Bangalore/Pune/Mumbai/Noida/Hyderabad

Supply Chain AI Strategy & Use Case Development

• Identify, assess, and prioritize AI use cases across supply chain domains Demand Planning, Supply Planning, Manufacturing, Procurement, Aftermarket, and Fulfillment by mapping current-state processes to AI-enabled future states.
• Support the development of Business Requirements Documents (BRDs) and Functional Requirements Documents (FRDs) grounded in supply chain functional knowledge and client-specific context.
• Contribute to AI reference architecture designs tailored for supply chain environments, illustrating how agentic AI components interact with enterprise data platforms, ERP systems, and planning tools.
• Assist in crafting AI value cases and business cases that articulate ROI, risk, and transformation timelines for supply chain-specific AI initiatives.

Client Engagement & Advisory Support

• Support client workshops and discovery sessions by preparing materials, capturing requirements, and synthesizing stakeholder inputs across supply chain functions.
• Prepare client-facing presentations, roadmaps, and strategy decks that translate AI and data concepts into accessible narratives for supply chain and operations leaders.
• Apply Design Thinking principles to facilitate structured problem definition and solution ideation sessions with client teams.
• Maintain and evolve the team's repository of supply chain AI frameworks, benchmarks, and industry case examples.

Data & AI Foundations

• Develop foundational fluency in enterprise data concepts data products, data pipelines, and agentic AI hierarchies — as they apply to supply chain planning and execution systems.
• Support data analysis tasks to surface insights from supply chain datasets (e.g., forecast accuracy, inventory performance, supplier scorecards) in service of client recommendations.
• Explore and apply prompt engineering and RAG (Retrieval-Augmented Generation) techniques to build or enhance AI tools that support supply chain advisory workflows.
• Complete assigned AI literacy and continuous-learning modules, contributing to a culture of applied innovation within the team.

EDUCATION

• MBA / Master’s Degree —engineering, supply chain, or information systems preferred.

BASIC (REQUIRED) QUALIFICATIONS

• 0–2 years of experience (including internships, co-ops, or coursework) in supply chain management, operations, business analysis, or a related field.
• Demonstrated functional understanding of at least one supply chain domain: Demand Planning, Supply Planning, Manufacturing, Procurement, Aftermarket, or Fulfillment / Logistics.
• Familiarity with core AI concepts — including Agentic AI fundamentals, AI use case identification, and AI reference architecture at a conceptual level.
• Experience writing or contributing to structured business documents such as process maps, requirements documents, or functional specifications — in an academic or professional setting.
• Demonstrated ability to work with and synthesize data into clear, structured insights or recommendations.
• Experience using AI tools (e.g., GenAI platforms, AI-assisted research or productivity tools) in an academic or professional context.
• Strong written and verbal communication skills with an ability to explain complex concepts clearly to non-technical audiences.

PREFERRED QUALIFICATIONS

• MBA or Master's degree in Supply Chain, Business Analytics, Information Systems, or a related discipline.
• Coursework, certifications, or self-directed learning in AI, machine learning, or data platforms (e.g., cloud certifications, AI/ML specializations).
• Exposure to consulting environments through internships, case competitions, or strategy project work — with demonstrated ability to structure problems and communicate recommendations.
• Familiarity with enterprise planning or ERP platforms (e.g., SAP IBP, o9, Kinaxis, Blue Yonder, Oracle SCM) in an academic or professional context.
• Participation in supply chain case competitions, AI hackathons, or strategy projects with measurable outcomes.
• Working knowledge of data visualization or analytics tools (e.g., Power BI, Tableau, Python, SQL) applied in a supply chain or operations context.
• Understanding of Prompt Engineering or Retrieval-Augmented Generation (RAG) techniques — even at a foundational or experimental level.

Preferred candidate profile