We’re passionate about food and driven by data. Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact. General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the world’s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo. WHAT YOU’LL DO: AI Governance aims to realize organizational value through focusing on effective and efficient analytic process to build & usage of analytic capabilities & solutions. It focuses on the process of consuming & deriving insights from data rather than the creation and storage of data. The AI Governance role drives discovery, execution and standards around operational analytic governance. The AI governance role will provide leadership, strategic decision making and guidance within analytic governance included partnering with the technical executional resource to understand and solve unique and complex problems as well as partnering with the broader organization to ensure best practice sharing & adherence of standards. You will interface with the Global Data Governance organization to ensure consistency across Data & Analytic Governance where applicable as well as have a stance on the appropriate technologies to support Analytic Governance to realize our technical & commercial teams’ needs. In this role, you will: Design end to end analytic framework, including overall architecture, capabilities, platforms, tools & governing processes Establish & define metrics around gauging analytic health of organization Consult & communicate positioning/go-forward strategies for analytic governance tools/capabilities Communicate governance standards & framework to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Define/improve governance best practices, guidelines & integration with enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Monitor technology trends & participates in discovery of any new tools/capabilities of interest Benchmark Analytic Governance with Industry analysts and other companies Lead Analytic Governance committee/steering team to ensure cross-functional exposure & adherence WHO YOU ARE: Bachelor’s degree 10 years demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5 or more years in an Analytic Governance role process-mapping, detailed frameworks, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating roadmaps & process diagrams Hands-on experience working with enterprise scale data projects including Big Data, Data Science & BI Reporting Experience in Agile Development, with specific Solution Architect preferred (understanding of end-to-end implementation of a technology Solution) Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Strong communication skills with ability to communicate complex technical concepts in a digestible way Ability to effortlessly switch gears from summary view for leadership to hands-on discussion with practitioners WHAT’S NICE TO HAVE: Cloud analytics platform experience preferred Six sigma certification preferred

WHAT YOU’LL DO Play a leadership role in the Big Data space by designing and executing sustainable data pipelines and leading the team through technical uncertainty as necessary. RESPONSIBILITIES Act as a key Data & Analytics technical leader within General Mills Collaboratively develop the technology & capability roadmap for the General Mills big data ecosystem Lead the design and implementation of sustainable tools & processes to support the big data ecosystem Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystem Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space. Develop communication & education plans for technical teams on technologies and processes in our big data ecosystem Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Collaboratively troubleshoot technical and performance issues in the big data ecosystem WHO YOU ARE High School Diploma  Minimum 5 years of IT experience required 1 year of hands-on experience with the technologies in the Hadoop ecosystem Experience working directly with business clients to design a solution that meets business requirements; ability to clearly articulate pros and cons of various technologies and platforms and architectural options, as well as being able to document use cases, solutions and recommendations. Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Database development experience using Oracle, SQL Server, SAP BW or SAP HANA Big Data Development experience using Hive and/or Spark Effective verbal and written communication and influencing skills. Effective analytical and technical skills. Ability to work in a team environment Ability to research, plan, organize, lead, and implement new processes or technology WHAT’S NICE TO HAVE Bachelor’s Degree preferred; Computer Science, MIS, or Engineering 7+ years of IT experience preferred Python, Scala or Java development experience Familiarity with Kafka  Familiarity with the Linux operating system Experience with agile techniques or method