D&T Manager – AI & Automation

COMPANY OVERVIEW

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 another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​

OVERVIEW

General Mills, Digital and Technology India, is seeking a D&T Manager, Data Scientist to lead our dynamic and innovative Data Science team. As a Manager Data Science, you will play a crucial role in developing the AIA Data Scientist team and shaping our core machine learning strategies, managing model development projects, AI technical explorations to deliver intelligent AI solutions supporting GMI functions. The ideal candidate will have expertise in AI platforms, ML modelling techniques, development life cycle, GCP Vertex AI, and a proven track record of the team successfully delivering impactful AI solutions.

KEY ACCOUNTABILITIES

AI and ML strategy

• Develop and implement AI and ML strategies aligned with business objectives.

• Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.

• Constructively challenge the other data scientists on approach.

• Utilize and provide expertise in leading AI platforms, frameworks, and libraries.

• Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.

• Exposure to Generative and Agentic AI solutions ecosystem.

Lead the AI solutions deliver:

• Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.

• Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way.

• Additionally ensure support the post-production to ensure model performance degrades are proactively managed. 

• Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.

Manager of People:

• Accountable for data scientists team performance management.

• Sets goals and objectives for team members for achievement of operational results.

• Ensures team skill management and devise apt training needs

• Responsible for timely staffing of the right resources.

• Team Collaboration and Communication. 

• Own development of the resources and career progression.

• Guide Project Prioritization and Resource Allocation.

• Collaborate with global partners to evolve ways of working and deliver AI solutions.

AI Literacy and Mentorship to broader organization:

• Mentor and guide a team of data scientists in approach for AI solution delivery.

• Foster a collaborative and innovative team environment.

• Contribute to the overall effort to educate stakeholders on AI practices.

• Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.

MINIMUM QUALIFICATIONS

• Overall minimum 12 years of experience, with relevant minimum 8 years in providing data science solutions.

• Bachelor’s degree in computer science/Statistics/Applied Mathematics.

• Proven skills in leading implementations of AI solutions.

• Experience in People management, with handling team size of 8-10 members.

• Experience in providing technical mentorship.

• Technical Concepts- ML Algorithms, ML Ops, Data Lineage and Visualization

• Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.

• Excellent stakeholder management skills and storytelling skills.

PREFERRED QUALIFICATIONS

• Publications or contributions to the data science and AI community.

• Certifications in AI, machine learning, or related fields.

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.