Vice President, Data Enterprise Architecture

HNI Corporation is a global family of brands for the workplace and home dedicated to enhancing the spaces where we live, work, and gather. We pride ourselves on fostering an environment where we make a positive impact on others; upholding our beliefs in integrity, inclusion and belonging.

The Vice President, Enterprise Data Architecture is a senior IT leader responsible for defining, designing, and governing the enterprise-wide data architecture that powers reporting, analytics, business intelligence, data science, and generative AI capabilities across HNI. This role ensures that data produced across disparate systems-including ERP, CRM, cloud data platforms, MDM solutions, and operational tools-is accessible, trusted, well-structured, and optimized for consumption by business partners and advanced analytics teams.

The VP, Enterprise Data Architecture will shape the long-term vision and roadmap for how data is organized, integrated, secured, and delivered across the enterprise. This leader provides thought leadership on modern data architecture practices (data lakes, lakehouse, mesh, semantic layers, virtualization, streaming), and partners cross-functionally to ensure HNI's data ecosystem supports operational excellence and strategic decision-making. The ideal candidate brings deep experience with large-scale enterprise data environments, ERP systems such as Oracle or SAP, and cloud ecosystems-preferably Azure.

What You Will Do:

Enterprise Data Architecture Leadership

• Define the enterprise data architecture vision, strategy, and roadmap, ensuring alignment with organizational goals and digital transformation initiatives.
• Lead the design of scalable, secure, and future-ready data architectures that support BI, analytics, data science, and generative AI workloads.
• Establish architectural guardrails, principles, and standards governing how data is modeled, stored, integrated, and consumed across the enterprise.
• Lead adoption of modern data principles including Data Mesh, data products, and federated governance.

Master Data, Metadata, and Quality Management

• Directly supervise the Master Data Management (MDM) team, providing leadership, performance management, and strategic direction for MDM analysts, specialists, and system administrators.
• Oversee the administration, configuration, and performance of MDM tools and technologies, ensuring reliable management of product, customer, vendor, distributor, sales, and other critical data domains.
• Define and maintain authoritative sources of truth and ensure consistent master data usage across ERP, CRM, and downstream systems.
• Partner with data governance teams to enforce metadata standards, lineage tracking, and data quality frameworks.
• Lead data quality improvement programs, including cleansing, enrichment, and stewardship efforts supporting enterprise-wide accuracy and consistency.

• Architect seamless data flows among ERP systems (Oracle/SAP), CRM systems, cloud data environments, third-party platforms, and internal applications.
• Establish integration patterns-APIs, event-driven architecture, ETL/ELT, microservices, data streaming-supporting operational and analytical needs.
• Ensure enterprise data is accessible in consistent, well-structured formats for downstream consumption.

• Design and optimize cloud-based data environments-preferably Azure-including data lakes, warehouses, cataloging tools, and analytics platforms.
• Support BI, Data Science, and Data Engineering teams by ensuring data architecture enables self-service analytics, predictive modeling, and AI/ML.
• Define architectural requirements for generative AI adoption, including vector storage, embeddings, knowledge repositories, and RAG pipelines.

• Partner with IT leadership, business executives, and solution architects to define data architecture that meets enterprise needs.
• Communicate architectural decisions, technology roadmaps, and trade-offs to both technical and non-technical audiences, including executive leadership.
• Act as a strategic advisor to business units implementing ERP, CRM, MDM, and analytics transformations.

• Collaborate with cybersecurity, internal audit, and governance leaders to ensure compliance with privacy, security, and regulatory frameworks.
• Establish access models, retention rules, and data lifecycle practices that support secure and responsible data usage.
• Drive consistent adoption of data governance policies across business domains.

• Lead, mentor, and develop enterprise architects and senior technologists responsible for data systems and integration patterns.
• Manage relationships with vendors, cloud providers, and system integrators to evaluate and implement best-fit data technologies.
• Ensure the data architecture team has the tools, competencies, and processes necessary to maintain a modern enterprise data ecosystem.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
• 12+ years of experience in data architecture or enterprise data systems leadership.
• 5+ years of IT leadership experience managing architecture or data platform teams.
• Strong business knowledge and understanding of value drivers within manufacturing environment.
• Hands-on experience integrating and architecting data solutions across major enterprise platforms, preferably including:
• Extensive experience designing and managingcloud-based data environments (Azure strongly preferred).
• Proven success architecting data solutions for analytics, BI, data science, or AI/ML.

Preferred Qualifications:

• Master's degree in Information Systems, Data Architecture, or related discipline.
• Experience with Azure tools such as Data Factory, Synapse, Purview, Databricks, Data Lake Storage.
• Experience with MDM platforms (Informatica, SAP MDG, Oracle MDM, Semarchy, etc.).
• Experience integrating generative AI capabilities into enterprise data ecosystems.

Relevant Skills

• Expert proficiency in enterprise data modeling and architecture (conceptual, logical, physical, semantic).
• Experience with modern integration patterns (APIs, microservices, streaming, event hubs).
• Strong communication and leadership skills, with the ability to influence enterprise decisions.
• Skilled in evaluating emerging technologies and determining strategic fit.
• Strategic thinker with a forward-looking approach to data modernization.
• Strong collaborator with the ability to build alignment across technical and business stakeholders.
• Deep commitment to data quality, governance, and operational excellence.
• Innovative mindset with enthusiasm for enabling advanced analytics and AI.

WE LOOK FORWARD TO HEARING FROM YOU!!

HNI Corporation (NYSE: HNI) is a manufacturer of workplace furnishings and building products, operating under two segments. The workplace furnishings segment is a leading global designer and provider of commercial furnishings, going to market under multiple unique brands. The residential building products segment is the nation's leading manufacturer and marketer of hearth products.
We offer benefits starting from Day 1. To learn more, visit www.HNIbenefits.com.
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