Data & Analytics Manager — AI-Driven Insights Leader

Hormel Foods; Austin (MN); On-site; USD 122,000 - 171,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) match

Stock purchase plan

Bonuses and profit sharing

Paid time off

Tuition assistance for children of员工

Job summary

Hormel Foods Corporation, based in Austin, Minnesota, seeks a Data & Analytics Manager to lead a talented team delivering enterprise analytics solutions that empower smarter decisions and fuel growth across a global organization.

You will translate strategy into actionable initiatives, develop advanced analytics roadmaps, and manage a portfolio of projects while advancing AI and GenAI capabilities to automate insights and enable predictive analytics.

Qualifications

• Bachelor’s degree in MIS, Data Science, Computer Science, Statistics, Analytics, or a related field.
• 8+ years of experience in data and analytics, with 3+ years in a managerial role.
• Strong experience with AI tools such as Copilot, Gemini, Claude, OpenAI, mcp, A2A in an enterprise environment.
• Experience with databases, data warehouses, and data lakes at an enterprise scale.
• Strong BI platforms (Power BI, Tableau, Looker) and cloud technologies (Google Cloud, Azure).
• Experience deploying Data Science, AI, and Gen AI solutions at an enterprise scale.
• Strong program management skills, with experience in leading cross-functional projects.
• Proven track record of managing a portfolio and developing solution roadmaps.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, including communication with Senior Leadership in a large organization.

Responsibilities

• Identify and prioritize analytics initiatives that execute the enterprise Data & Analytics strategy and deliver measurable business value.
• Develop and maintain analytics roadmaps that align with enterprise priorities and guide the execution of high-impact initiatives.
• Oversee the design, development, and deployment of enterprise reporting and analytics solutions using modern platforms and tools.
• Lead and manage a diverse team of analytics professionals, setting clear goals and fostering a collaborative, high-performance culture.
• Drive adoption of AI and GenAI capabilities to automate insights, enable predictive analytics, and enhance decision-making.
• Manage the full portfolio of data & analytics projects and products for your domain, ensuring alignment with business objectives, timely delivery, and adherence to standards.
• Partner with business stakeholders to understand data needs and translate them into actionable analytics solutions.
• Ensure technical excellence in data modeling, dashboard development, and reporting standards for accuracy and scalability.
• Track KPIs, monitor adoption, and measure business impact to drive continuous improvement in analytics solutions.
• Collaborate with data platform, engineering, integration and governance teams to deliver analytics roadmap.
• Maintain compliance with data governance, security, and ethical AI practices while mitigating risks in delivery.
• Stay current with BI, AI, and GenAI innovations, introducing best practices and emerging capabilities to strengthen analytics delivery.

Skills

Leadership

AI tools

Power BI

Tableau

Looker

Cross-functional

Executive communication

Education

Bachelor’s degree in MIS, Data Science, CS, Statistics, Analytics, or related field

Master’s degree in Data Science, Analytics, or related field

Tools

Databases

Data warehouses

Data lakes

Google Cloud

Azure

Copilot

Gemini

Claude

OpenAI

Job description

Hormel Foods Corporation, based in Austin, Minnesota, seeks a Data & Analytics Manager to lead a talented team delivering enterprise analytics solutions that empower smarter decisions and fuel growth across a global organization.

You will translate strategy into actionable initiatives, develop advanced analytics roadmaps, and manage a portfolio of projects while advancing AI and GenAI capabilities to automate insights and enable predictive analytics.