Assistant Vice President - Supply Chain Analytics - Demand Planning/Machine

Antrors HR Solutions; Mumbai; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Antrors HR Solutions seeks an experienced Data Scientist to join the Global Data & AI team and optimize supply chain performance for CPG clients. You will lead strategy, extract insights, manage analytics teams, and collaborate with stakeholders while leveraging AI-driven tools to drive efficiency and automation.

The role requires 9+ years in data science for supply chain analytics, hands-on planning and visualization skills, and the ability to present data-driven findings to senior leaders

Qualifications

• PG / MBA / BE / B.Tech with min 9 years of experience as a Data Scientist in Supply Chain Analytics.
• Expertise in at least two areas: demand planning, inventory management, S&OP, or logistics.
• Hands-on experience with O9, Kinaxis, SAP; strong Python, SQL, VBA and Advanced Excel.
• Exposure to AI-driven agents and live data visualization with Power BI/Tableau.
• Ability to lead multiple clients and mentor analytics teams.

Responsibilities

• Lead data-driven insights and design digital supply chain analytics solutions.
• Transform data into actionable strategies to improve planning and performance.
• Utilize planning platforms to support demand forecasting and scenario planning.
• Engage with CPG clients, presenting findings to senior stakeholders.
• Collaborate across procurement, logistics, and finance to boost efficiency.
• Mentor analytics teams and drive automation and transformation programs.
• Develop POVs on Agentic AI and Gen AI use cases in analytics.

Skills

Data Science

Machine Learning

Python

SQL

VBA

Advanced Excel

Power BI

Tableau

Leadership

Stakeholder Management

Education

PG / MBA / BE / B.Tech

Tools

O9

Kinaxis

SAP

Power BI

Tableau

Job description

Location

Mumbai

Job Summary

As part of our Data & AI practice, you will be part of Global Data & AI team, using analytics, AI/ML, and planning tools to optimize supply chain performance for CPG clients. The Individual will be involved in leading strategy, extracting insights, managing teams, collaborating with stakeholders, and leveraging AI-driven tools to enhance efficiency and automation. This position demands a strategic thinker with hands-on expertise in analytics and decision science methods.

Roles & Responsibilities

• Lead data-driven insights and design digital supply chain analytics solutions for business optimization.
• Transform complex data into actionable strategies to improve supply chain planning and performance.
• Utilize planning platform to support demand forecasting, supply optimization, and scenario planning.
• Possess expertise in Machine Learning , Data Science , SQL, Advanced Analytics, Power Query, and VBA to drive automation and decision-making.
• Engage with multiple CPG clients, presenting data-driven findings to senior stakeholders for strategic decision-making.
• Collaborate across procurement, logistics, and finance functions to enhance operational efficiency.
• Lead automation initiatives and support transformation programs to improve scalability.
• Develop POVs on Agentic AI and Gen AI use cases to drive innovation in analytics applications.
• Manage and mentor analytics teams, ensuring high-quality delivery and execution across engagements.

Educational Qualification / Work Experience & Skills

• PG / MBA / BE / B.Tech with min 9 years of experience as a Data Scientist in Supply Chain Analytics / Supply Chain Transformation ( with good experience into Demand Planning)
• Expertise in at least two of the following areas: demand planning, inventory management, S&OP, or logistics.
• Hands-on experience with O9 , Kinaxis, SAP, or similar platforms. ( Would be an Added Advantage)
• Strong analytical thinking, communication skills, and leadership experience.
• Ability to manage multiple clients in a fast-paced environment.
• Proficiency in Machine Learning , Data Science ,Python, SQL, VBA, and Advanced Excel, with strong data modeling and reporting skills.
• Exposure to AI-driven Agents within supply chain operations.
• Experience with Power BI/Tableau for data visualization and insights.
• Understanding of global supply chain operations and live data ingestion tools. .