Data & Analytics Manager - Supply Chain Flexible Location Preferred

DATA & ANALYTICS MANAGER - SUPPLY CHAIN - LOCATION (PREFERRED-AUSTIN, MN)

To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.

Hormel Foods Corporation About Hormel Foods - Inspired People. Inspired Food.
Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters, Skippy, SPAM, Hormel Natural Choice, Applegate, Justin's, Wholly, Hormel Black Label, Columbus, Jennie-O and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U. S. News & World Report, one of America's most responsible companies by Newsweek, recognized on Fast Company's list of the 100 Best Workplaces for Innovators, received a perfect score of 100 on the 2023-24 Corporate Equality Index and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement - Inspired People. Inspired Food. - to bring some of the world's most trusted and iconic brands to tables across the globe. For more information, visit hormelfoods. com.

RESPONSIBILITIES:


The Data & Analytics Manager - Supply Chain will lead the analytics team in designing and developing enterprise-level data and analytics solutions using platforms such as Oracle, Google Cloud, Tableau, and other cutting-edge technologies to drive strategic decision-making and foster business growth. This role demands a strong background in business intelligence, data analytics, data science, and a comprehensive understanding of the CPG industry. The ideal candidate will have a demonstrated history of managing large datasets, uncovering actionable insights, and successfully leading cross-functional teams. Additionally, this role involves close collaboration with business stakeholders to create analytic tools that enhance data-driven decision-making across the organization.

• Data & Analytics Strategy Development and Business Partnership.
  • Formulate a comprehensive Data & Analytics strategy that aligns with supply chain goals.
  • Identify key Data & Analytics initiatives and prioritize them based on business impact and value.
  • Develop a roadmap for Data & Analytics initiatives and capabilities, advocating for necessary investments.
  • Stay abreast of the latest trends and innovations in data science, analytics, and AI.
• Team Management, Leadership, and Development.
  • Provide guidance and support to team members, aiding their professional development through mentoring, training, and coaching.
  • Set clear performance expectations and conduct regular performance reviews.
  • Foster a collaborative and inclusive team culture, organizing team-building activities and initiatives.
  • Lead a variety of Data & Analytics skillsets including Data Science, BI Analysts, and Data Analysts and Data Product Management.
• Portfolio and Project Leadership.
  • Manage the entire Data & Analytics portfolio of initiatives for the supply chain domain.
  • Engage with stakeholders to understand their data needs and ensure alignment with business objectives.
  • Define project scope, objectives, and deliverables, and lead the development of detailed project plans.
  • Oversee project execution, ensuring adherence to design, architecture, schedules and budgets, and develop mitigation strategies for potential risks.
• Technical Leadership and Understanding.
  • Oversee the entire data and analytics lifecycle for supply chain initiatives from ideation to deployment.
  • Familiarity with AI technologies (like machine learning, Natural Language Processing) and process automation tools.
  • Collaborate on the design and maintenance of efficient data analytics solutions.
  • Lead exploratory data analysis and deliver relevant recommendations.
  • Develop and maintain interactive dashboards and generate periodic reports to track key performance indicators.
  • Supervise the creation of AI models and ensure their deployment and performance monitoring is within enterprise standards.

• Bachelor's degree in MIS, Data Science, Computer Science, Statistics, Supply Chain Management, or a related field.
• Minimum of 7 years of experience in data and analytics, with at least 2 years in a managerial role.
• Proficiency in data analysis tools such as SQL, Python, DataIku and data visualization tools like Obiee, Tableau or Power BI.
• Experience with data storage solutions such as databases, data warehouses, and data lakes.
• Strong program management skills, with experience in leading cross-functional projects.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, including communicating with Sr. Leadership in a large organization.
• Must be a Citizen or National of the United States, a lawful, permanent resident, or have authorization to work in the United States.
• Applicants must not now, or in the future, require sponsorship for an employment visa.

• Master's degree in Data Science, Supply Chain Management, or a related field.
• Experience in the supply chain domain, with a deep understanding of supply chain processes and challenges.
• Knowledge of advanced analytics techniques such as predictive modeling, machine learning, and AI.
• Experience with google BigQuery and Oracle Databases.
• Certification in Agile Methodologies.