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. Position Title D&T Manager – Data Engineering Function/Group Digital & Technology Location Mumbai Office Shift Timing Regular Role Reports to D&T Head – Data & Analytics Capability. Remote/Hybrid/in-Office Hybrid We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. JOB OVERVIEW Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through a provided Link. Purpose of the role The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We design solutions to meet the expanding need for more and more internal/external information to be integrated with existing sources; research, implement and leverage new technologies to deliver more actionable insights to the enterprise. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business. KEY ACCOUNTABILITIES Directly manage, coach, mentor, and performance manage a team of Data Engineering Managers, fostering a culture of learning, innovation, and collaboration. Build and maintain strong relationships with key business and technology stakeholders, ensuring effective communication regarding project status, risks, and opportunities. Collaborate with stakeholders to deeply understand their data needs and priorities, translating them into actionable data engineering initiatives. Champion a Data Engineering culture of Learning, Belonging, and Accountability, driving employee engagement and development initiatives. Oversee resource allocation and capacity planning for the Data Engineering team, working with project and solution managers to ensure appropriate staffing. Manage vendor relationships and contracts as needed, ensuring optimal value and alignment with Data Engineering goals. Identify and lead initiatives to improve the efficiency and effectiveness of the Data Engineering operating model, streamlining processes and automating tasks. Drive the adoption of best practices, standards, and data quality improvements across the Data Engineering team. Participate in the development and drive the implementation of short-term and long-term strategic initiatives for Data Engineering, ensuring alignment with business goals. Provide technical guidance and mentorship to the Data Engineering team, staying up-to-date on the latest trends and technologies, and contributing to the development of data architecture and standards. MINIMUM QUALIFICATIONS The ideal candidate will possess 15+ years of relevant experience in Data Engineering, with a minimum of 5+ years leading mid-to-large Data Engineering teams, including managers. This role requires excellent stakeholder management skills and a strong understanding of data engineering principles, practices, and technologies. Experience with cloud-based data platforms is essential, as is experience working in an Agile delivery/Product Team environment. The successful candidate will have exceptional communication, interpersonal, and influencing skills, and a demonstrated ability to collaborate effectively across geographic and time zone constraints. Effective analytical and hands-on technical skills are also required. PREFERRED SKILLS/EXPERIENCES Data Engineering Expertise: Specialization in Google Cloud Platform (GCP). Big Data & Data Warehousing: Proficient in ETL/ELT processes and data architecture design. Project Management: Experienced in managing data engineering projects.