Sr Manager, Data Scientist

The Kraft Heinz Company; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

The Kraft Heinz Company in Bengaluru is seeking a Sr. Manager, Data Science - Operations to drive data science, AI, optimization, and advanced analytics across Manufacturing, Supply Chain, Demand Planning, and Product Formulation.

You will translate complex business challenges into scalable analytics solutions that deliver measurable operational and financial impact. You will mentor data scientists and engineers, communicate findings to senior leadership, and shape the enterprise-wide data

Qualifications

• Master’s degree in Data Science, Computer Science, Engineering, or Statistics.
• Minimum 10 years of progressive experience in Data Science, Analytics, Operations Research, Machine Learning, or Advanced Analytics.
• Demonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement, or Product Formulation functions.
• Proven track record delivering business value through predictive analytics, optimization, simulation, statistical modeling, and AI solutions.
• Experience leading complex, cross-functional initiatives involving business stakeholders, technology teams, and executive leadership.
• Preferred experience in Consumer-Packaged Goods (CPG), Food & Beverage, Manufacturing, Supply Chain, or Operations environments.
• Experience translating ambiguous business challenges into analytical frameworks and actionable recommendations.
• Experience with cloud-based analytical platforms and modern data ecosystems.

Responsibilities

• Lead the identification, prioritization, and execution of advanced analytics, machine learning, optimization, and AI initiatives across Manufacturing, Supply Chain, Demand Planning, and Formulation functions.
• Partner with business stakeholders and operational leaders to understand strategic objectives, define analytical roadmaps, and translate business requirements into scalable data science solutions.
• Provide technical leadership and mentorship to Data Scientists, Data Engineers, Analytics professionals, and cross-functional project teams without direct people management responsibilities.
• Communicate analytical insights, recommendations, business cases, and project outcomes to senior leadership and executive stakeholders using clear, concise, and business-friendly language.
• Design and oversee development of predictive, prescriptive, and optimization models that improve operational efficiency, forecasting accuracy, inventory management, production planning, and product development processes.
• Champion best practices in data science, AI, model governance, experimentation, and responsible AI across the organization.
• Evaluate emerging technologies, industry trends, and innovative analytical approaches to continuously improve business capabilities and competitive advantage.

Job description

Job Description

Job Summary:

The Sr. Manager, Data Science - Operations serves as the strategic and technical leader responsible for driving data science, AI, optimization, and advanced analytics initiatives across Manufacturing, Supply Chain, Demand Planning, and Product Formulation functions. This role partners closely with business and technology leaders to identify opportunities, develop scalable analytical solutions, and translate complex business challenges into measurable operational and financial outcomes. Success in this role is demonstrated through delivering enterprise-wide value, accelerating data-driven decision making, and advancing Kraft Heinz’s digital transformation agenda.

Responsibilities:

• Lead the identification, prioritization, and execution of advanced analytics, machine learning, optimization, and AI initiatives across Manufacturing, Supply Chain, Demand Planning, and Formulation functions.
• Partner with business stakeholders and operational leaders to understand strategic objectives, define analytical roadmaps, and translate business requirements into scalable data science solutions.
• Provide technical leadership and mentorship to Data Scientists, Data Engineers, Analytics professionals, and cross-functional project teams without direct people management responsibilities.
• Communicate analytical insights, recommendations, business cases, and project outcomes to senior leadership and executive stakeholders using clear, concise, and business-friendly language.
• Design and oversee development of predictive, prescriptive, and optimization models that improve operational efficiency, forecasting accuracy, inventory management, production planning, and product development processes.
• Champion best practices in data science, AI, model governance, experimentation, and responsible AI across the organization.
• Evaluate emerging technologies, industry trends, and innovative analytical approaches to continuously improve business capabilities and competitive advantage.

Requirements:

• Master’s degree in Data Science, Computer Science, Engineering, or Statistics
• Minimum 10 years of progressive experience in Data Science, Analytics, Operations Research, Machine Learning, or Advanced Analytics
• Demonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement, or Product Formulation functions
• Proven track record delivering business value through predictive analytics, optimization, simulation, statistical modeling, and AI solutions.
• Experience leading complex, cross-functional initiatives involving business stakeholders, technology teams, and executive leadership.
• Experience translating ambiguous business challenges into analytical frameworks and actionable recommendations.
• Preferred experience in Consumer-Packaged Goods (CPG), Food & Beverage, Manufacturing, Supply Chain, or Operations environments.
• Experience with cloud-based analytical platforms and modern data ecosystems.

Location(s)

Bengaluru - Brookfield GCC

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.