General Mills
Website:
generalmills.com
Job details:
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
Product Design, Development & Analytics:
- Design, develop, test, automate, and launch modern Business Intelligence, conversational analytics, and AI-driven summarization solutions using Tableau, Looker, Big Query, and related analytics technologies.
- Develop technical architectures, semantic models, prototypes, and governed data experiences that enable trusted natural-language querying, dashboard summarization, and scalable decision support.
- Lead design, code, model, and process reviews to ensure adherence to enterprise standards, AI governance requirements, approved extensions, and performance best practices.
- Drive end-to-end delivery across discovery, requirements definition, effort estimation, solution design, development, user acceptance testing, deployment, and post-go-live monitoring.
- Define and refine business terms, metadata, reference questions, and testing assets so AI-enabled BI solutions produce accurate, trusted, and repeatable outputs for business users.
- Partner with technical teams to optimize data modelling, granularity, labels, and performance across the analytics ecosystem, with preference for scalable star-schema-based designs.
- Establish and manage validation processes, including training sets, golden queries, user testing, and accuracy thresholds, to support successful production readiness of AI for BI capabilities.
- Perform in-depth analysis to identify critical data elements, business metrics, and insight opportunities that improve adoption of self-service and AI-assisted analytics.
Strategy & Collaboration
- Serve as a translator between business needs and technical delivery by converting business questions into governed BI, NLQ, and AI summarization use cases with clear success measures.
- Partner with business stakeholders, product teams, BI leadership, and cross-functional governance groups to shape requirements, prioritize initiatives, and enable responsible deployment of AI-powered BI capabilities.
- Collaborate across functions to develop standards, benchmark solution quality, define critical metrics, and recommend best practices for scalable, trusted analytics experiences.
- Lead business engagement through workshops, interviews, pilot testing, and feedback loops that improve usability, trust, and adoption of AI-enabled dashboards and analytics products.
- Coordinate issue triage, continuous improvement, and production monitoring to sustain solution quality and identify emerging risks, gaps, and enhancement opportunities.
Minimum Qualifications
- Bachelor’s degree from an accredited university (full time) in Business Analytics, Computer Science, Information Systems, Data Science, or a related field.
- 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.
- Experience with AI for BI use cases such as natural language query, conversational analytics, or AI-driven summarization, including testing, validation, and monitoring practices.
- 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.
Click on Apply to know more.
