Senior Data Architect -Master Data Management (MDM) - Hormel Foods

SENIOR DATA ARCHITECT – MASTER DATA MANAGEMENT (MDM) HORMEL FOODS

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, Minn., is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include SKIPPY®, SPAM®, Hormel®��Natural Choice®, Applegate®, Justin’s®, Wholly®, Hormel® Black Label®, Columbus® 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 on the “Global 2000 World’s Best Employers” list by Forbes magazine for three straight years, is one of Fortune magazine’s most admired companies, has appeared on Corporate Responsibility Magazine’s “The 100 Best Corporate Citizens” list for the 12th year in a row, 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 www.hormelfoods.com and http://csr.hormelfoods.com/.

Summary:

We are seeking a seasoned Senior Data Architect with a passion for Master Data Management (MDM) to play a pivotal role in shaping and driving our data strategy. You will lead the design, development, and implementation of a secure and scalable data architecture that underpins our organization's current and future data needs, with a particular focus on master data for our CPG (Consumer Packaged Goods) operations. In this role, you will leverage your expertise in Oracle Fusion Cloud, Google Cloud Platform (GCP) and on-premise systems to architect and implement a robust MDM solution, ensuring data governance, security, scalability, and performance across our manufacturing and product data. As a trusted advisor to business and technical stakeholders, you will collaborate effectively to ensure data is accessible, reliable, and empowers data-driven decision making.

Specific Competencies:

• MDM Expertise: Strong understanding of MDM principles, methodologies, and best practices for managing master data domains in a CPG environment.
• Cloud Technologies: Proven experience in designing and implementing data solutions using Oracle Fusion Cloud and/or Google Cloud Platform (GCP).
• Data Architecture: Expertise in designing and implementing secure and scalable data architectures that consider data governance, security, scalability, and performance.
• Data Modeling: Deep understanding of data modeling concepts, methodologies, and tools for designing logical and physical data models, especially for master data entities.
• Data Integration: Experience in designing and implementing data integration strategies to seamlessly combine data from diverse sources.
• Data Governance: Understanding of data governance principles and ability to collaborate with data governance teams to establish and enforce data ownership, access control, and quality standards.
• Communication and Collaboration: Excellent communication and collaboration skills to effectively work with business stakeholders, data engineers, analysts, and IT teams.

Responsibilities:

• Lead the design and implementation of a comprehensive data architecture for MDM, focusing on CPG manufacturing and product data.
• Select and integrate appropriate data management technologies and tools for the MDM solution, leveraging Oracle Fusion Cloud, Google Cloud Platform and on-premise systems expertise.
• Develop and maintain logical and physical data models that effectively represent the organization's master data entities and relationships.
• Design and implement data integration strategies to seamlessly consolidate master data from various sources.
• Collaborate with the data governance and quality team to ensure data quality standards and governance procedures are aligned with the MDM architecture.
• Partner with business stakeholders to define data ownership and stewardship for master data domains.
• Develop frameworks, standards and templates for carrying out the data architecture practice. 
• Document data architecture components and processes for knowledge sharing and ongoing maintenance.
• Foster a data-driven culture