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 This role advances modern Business Intelligence and AI for BI capabilities across General Mills business functions. It partners with business, product, and technical teams to design, build, and scale trusted, governed, and user-friendly analytics solutions. The role focuses on enabling reporting, visualization, conversational analytics, and AI-driven insights with strong adoption, quality, and governance. KEY ACCOUNTABILITIES: 1) Business Intelligence and AI for BI capabilities Design, develop, test, automate, and launch BI, conversational analytics, and AI-driven summarization solutions using Tableau, Looker, BigQuery, and related tools. Build technical architectures, semantic models, prototypes, and governed data experiences for trusted natural-language querying, dashboard summarization, and scalable decision support. Lead design, code, model, and process reviews to ensure compliance with enterprise standards, AI governance, approved extensions, and performance best practices. Drive end-to-end delivery across discovery, requirements gathering, estimation, solution design, development, UAT, deployment, and post-go-live monitoring. Define business terms, metadata, reference questions, and testing assets to improve the accuracy, trust, and repeatability of AI-enabled BI outputs. Partner with technical teams to optimize data models, granularity, labels, and performance, with a focus on scalable star-schema-based designs. Establish validation processes including training sets, golden queries, user testing, and accuracy thresholds to support production-ready AI for BI capabilities. Translate business needs into governed BI, NLQ, and AI summarization use cases with clear success measures and business value. Collaborate with business stakeholders, product teams, BI leadership, and governance groups to shape requirements, prioritize initiatives, and recommend best practices. Lead workshops, pilot testing, feedback loops, issue triage, and continuous improvement efforts to strengthen usability, trust, adoption, and solution quality. 2) Business Intelligence (Semantic Layer) Design, develop, and maintain scalable Looker semantic layers using advanced LookML for trusted self-service analytics Build and optimize complex SQL queries in BigQuery to support data models, semantic layers, and business analysis Translate business requirements into intuitive data models and LookML structures using star and snowflake schema principles Identify and resolve performance bottlenecks across LookML models, Explores, and BigQuery queries to improve user experience Implement data governance, semantic consistency, access controls, and security within the Looker semantic layer Drive Git-based development, code reviews, change management, and CI/CD practices for reliable BI deployments Lead technical design discussions and code reviews to ensure architecture, data quality, and performance standards Partner with product teams and business stakeholders to shape requirements and deliver analytical solutions Communicate technical concepts, design trade-offs, and solution impacts clearly to technical and non-technical audiences Contribute to strategic decisions, best practices, and data-driven insights that strengthen the analytics ecosystem MINIMUM QUALIFICATIONS Education: Bachelor’s degree from an accredited university (full time) in Business Analytics, Computer Science, Information Systems, Data Science, or a related field. Experience: 8+ years of total experience with 6+ years of relevant experience designing and delivering BI and analytics solutions for business stakeholders. Expert-level skills in Tableau, SQL, Google Looker, Python, and BigQuery. Demonstrated experience building governed analytics products, semantic models, and scalable reporting solutions that support self-service analytics and decision-making. Strong communication skills with the ability to translate business requests into technical requirements and explain trade-offs across tools, data models, governance, and architecture options. Strong knowledge of dimensional modelling, metadata management, data governance, data warehousing, and enterprise data platforms. Proven ability to influence without authority and to partner effectively with business leaders, technical teams, and governance stakeholders to deliver high-value solutions. PREFERRED QUALIFICATIONS Thought-driven leadership to successfully deliver scalable team management and business solutions. Knowledge of at least one other programming language such as Python is a plus. Take the initiative to do the right thing - doesn't walk past a problem. Consultant mindset - able to challenge with courage and influence upwards and with peers. Agile learner - has passion and curiosity to learn new things and understand the "why" ELIGIBILITY Applicants must meet minimum age qualifications in the country in which the job is located. New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good. Watch with captions in other languages here. Our careers Our company Set up job alerts to receive instant email notifications for new openings matching your interests. Sign in or create an account Join our talent community to hear about company news and career opportunities. Sign up Protect yourself against recruitment fraud. Unauthorized individuals may pose as General Mills recruiters, make contact about job opportunities, post fake job openings, or even extend job offers. When in doubt, please ignore these messages. When reviewing a General Mills job posting on a non-General Mills site, such as LinkedIn, it is important to always verify that the job is also listed on the General Mills Career site. Only jobs listed on our Career site are legitimate.

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