Lead Consultant, SC Analytics

General Mills

General Mills

Sales & Business Development, Data Science
Mumbai, Maharashtra, India
Posted on Wednesday, May 17, 2023

Job Description

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success.

Job Overview:

The Lead Consultant is a member of the Supply Chain Analytics team that identifies, leads, and delivers advanced analytics and insights to the Supply Chain. The Supply Chain Analytics team works closely with the Strategies, Transform & Capabilities team, Risk COE, Data & Technology, and the PMO. The Lead Consultant will enhance Supply Chain decision-making with operations research, industrial engineering solutions, and a strong problem-solving mindset. They will also be accountable for leading the incorporation of Advanced Analytics into new and existing Supply Chain capabilities and processes by working with Pillars and OUs.

This role entails collaborating with stakeholders, translating business problems into analytics problem statements, and leading solution delivery. It requires a strong understanding of end-to-end supply chain processes and systems under the pillars of plan, source, make, and deliver. Additionally, in-depth knowledge of descriptive, prescriptive, and predictive analytical techniques, such as optimization, simulation, advanced statistics, and visualization, is necessary to solve strategic, tactical, and executional supply chain problems.

Job Responsibilities:


of Time

Strategic Responsibilities – Providing thought leadership, critical thinking, problem solving and delivering solutions

- Solve complex problems in the areas of capacity, manufacturing, network optimization & transportation

- Continuously think of innovative ways to solve business problems and keep focusing on the bigger picture

- Evaluate different analytical solutions options and recommend the best approach for the problem at hand.

- Synthesize large data sets/model results into usable insights and business recommendations

- Collaborate with other Supply chain functions across geographies to identify opportunities in business processes and formulate a problem statement.

- Develop a detailed solution design/architecture or re-engineer an existing solution design.

- Enhance the technical and capability landscape for the supply chain analytics group

a. Evaluate different emerging tools and technologies available in the industry and prepare a business case for the adoption of same.

b. Work collaborative across cross-functional teams to develop new/innovate solutions.

c. Explore & Develop partnership with the external analytics and technology partners to drive innovation


Stakeholder Collaboration

- Engaging with Business Stakeholders: Collaborating with business stakeholders, such as supply chain managers, executives, and functional teams, to understand their objectives, challenges, and requirements related to supply chain analytics. This involves active communication, conducting meetings, and facilitating discussions to gather insights and align analytics initiatives with business goals.

- Cross-Functional Collaboration: Collaborating with cross-functional teams, including procurement, operations, logistics, finance, IT, and other relevant departments. This ensures a holistic approach to supply chain analytics, considering inputs from different areas and ensuring alignment across the organization.

- Translating Business Problems: Working closely with stakeholders to translate their business problems or challenges into well-defined analytics problem statements. This involves understanding the underlying issues, determining the required data and analytical techniques, and clarifying expectations and deliverables.

- Communication and Reporting: Providing regular updates, progress reports, and insights to stakeholders regarding the supply chain analytics projects. This includes presenting findings, recommendations, and actionable insights in a clear and concise manner that is easily understandable by non-technical stakeholders.


of Time

Project Management

- Project Planning: Developing project plans, timelines, and resource allocation based on the project scope, objectives, and available resources. This involves identifying key tasks, milestones, dependencies, and setting realistic deadlines.

- Resource Management: Allocating resources, both human and technological, required for the project. This includes coordinating with team members, ensuring their availability, and managing any constraints or conflicts that may arise.

- Risk Management: Identifying and managing risks associated with the project, such as data quality issues, technical challenges, resource constraints, or changes in project requirements. Developing risk mitigation strategies and contingency plans to minimize potential disruptions.

- Project Execution: Overseeing the execution of the project activities, ensuring adherence to the project plan, and addressing any issues or roadblocks that arise during the implementation phase. This involves monitoring progress, coordinating tasks, and ensuring timely delivery of project milestones.

- Quality Assurance: Ensuring the accuracy, reliability, and validity of the analytics outputs and deliverables. This includes conducting quality checks, verifying data integrity, validating analytical models, and reviewing the overall project outputs before presenting them to stakeholders.

- Stakeholder Management: Managing stakeholder expectations, providing regular updates, and maintaining effective communication throughout the project lifecycle. This includes addressing any concerns or feedback from stakeholders and ensuring their involvement and satisfaction.


Minimum Degree Requirements:

Bachelors (B. Tech)

Preferred Degree Requirements:

Masters (M. Tech/MBA/MSC)

Preferred Major Area of Study:

Mechanical/ Electronics /Instrumentation/ Reliability Engineering/Computer Science/ Operation Research, Industrial Engg. / Statistics/Mathematics/Analytics

Preferred Professional Certifications:

APICS, CSCP, CPIM Analytics, Six Sigma, SC Micro Masters, or similar accreditation

Preferred Institutes

IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University


Minimum years of related experience required:


Preferred years of related experience:


Specific Job Experience or Skills Needed:

Technical/Soft Skills

  • Critical thinker with strong analytical and problem-solving skills
  • Strong Analytical knowledge in either of below skills
    1. optimization/simulation basics – Linear/Integer/MILP programming/ Risk Analysis /Discrete event simulation
    2. Statistics and machine learning - various types of regression, classification and clustering techniques, time series, tree-based prediction models/ Distribution/ Hypothesis Testing/ Statistical Process Control
  • Strong leadership skills, including experience leading others in projects or programs, and the ability to successfully interact with individuals representing other areas or interests and the ability to manage team leaders & mechanics
  • Understanding and experience interacting with multiple business functions
  • Ability to identify potential business solutions involving a broad scope of thinking across businesses and functions to develop innovation
  • Provide leadership, project management and analysis for the development and implementation of analytical solutions that support business objectives such as capacity management, site selection, and optimization and simulation of supply chain operations
  • Directly and indirectly manage project teams and resources to meet organizational priorities to optimize project delivery
  • Experience with model building in either of these tools Coupa Supply Chain Guru, R/Python Inventory Analyst, Premium Solver, Simulation tools, MS Excel
  • Story Telling – Translate complex model results into business recommendations.
  • Strong multi-tasking, and time-management skills
  • Excellent communication, and interpersonal skills
  • Ability to work in an ambiguous environment and take initiative
  • Basics of Project Management (Timelines, resourcing, agile framework, risk management)

Domain Experience

  • In-depth knowledge of end-to-end supply chain
  • Strong experience in either of operations, planning, and analytics
  • Proven experience working on large scale supply chain transformation initiatives with supporting references

Competencies/Behaviors required for job:

  • Deliver outstanding results – Agile and self-driven individual to learn/adapt the analytics ways of working. Highly accountable to complete deliverable in a timely and effective manner. Proactive communication about any roadblock and recommend ideas and input to help team achieve greater result.
  • Interpersonal Effectiveness – Relates well with stakeholders, colleagues & team members. Maintains a positive, supportive & appreciative attitude. Actively listens to others & demonstrates an understanding of their point of view. Clearly articulates views in written & verbal discussions.
  • Problem Solving / Analytical skills – Ability to collect and analyze data quickly and efficiently. Can identify issues and provide ideas/solutions for resolution.
  • Leads Innovation – Ability and confidence to identify and recommend creative solutions. Identifies both opportunities and needs for change. Adapts quickly and responds effectively to change. Identifies issues or problems and provides a respective solution. Explores and shares innovative best practices with others.

Shift Timings: 1.30pm to 10.30pm


We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.