Senior Director, Enterprise Data & Analytics

Benefits

Additional Information

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life. This role is currently based at our Minneapolis office and will transition to our new headquarters in Dayton, MN, in 2027. The Senior Director, Enterprise Data & Analytics leads Graco's enterprise data strategy, ensuring the business operates from trusted, consistent and well-governed core data. The position sets enterprise-wide data standards, and defines how data is owned, governed, structured and used across the organization to support reliable operations, informed decision-making and scalable growth. A core focus of this position is Master Data Management (MDM), focused on defining the strategy, architecture, platforms and delivery of a multi-year roadmap that establishes authoritative, governed records across Graco's critical business data domains. With a strong focus on embedding data foundations directly into core business processes, the individual in this position ensures analytics and AI initiatives are built on high-quality enterprise data and deliver measurable business impact. Additionally, this position partners across business and technology teams to establish data standards, improve data accessibility, quality, and reuse, while also ensuring our data capabilities effectively support Graco's operations, customers and long-term growth. What You Will Do At Graco Enterprise Data Foundations & Strategy Lead the enterprise data strategy with a foundation-first mindset-prioritizing clean, reliable core data over stand-alone analytics solutions Define how critical enterprise data (e.g., customer, product, pricing, installed base, supplier) is created, standardized, governed and reused across the company Establish clear enterprise data standards, definitions and systems of record so teams operate from consistent and trusted data Prioritize and drive resolution of high-impact data quality issues that affect operations, revenue and customer experience (e.g., pricing discrepancies, order-to-cash errors, duplicate customers) Master Data Management Strategy (MDM) & Delivery Establish Graco's MDM vision and multi-year roadmap, defining which data domains are managed, the systems that own them, the fidelity standards applied, and the business stakeholders accountable for their governance Define the MDM operating model and architecture with deliberate, documented decisions aligned to Graco's enterprise applications and data platforms Lead MDM delivery as an enterprise program: engage stakeholders in data stewardship, match/merge rules, hierarchy design, and exception management; with an initial focus on Product and Customer MDM delivery Measure MDM program health with visible, business-relevant KPIs such as: Golden record completeness rate attribute fill rate by domain, duplicate rate, re-dirty rate, match confidence, stewardship SLA compliance, and downstream system adoption Data Governance & Ownership Establish a data governance model that embeds accountability in the business and prevents re-dirtying of enterprise data Ensure clear business ownership for data quality and definitions, with stewardship embedded in functions - even within an IT-owned data operating model Define decision rights for data standards and exceptions, with governance that is lightweight, practical, and aligned to business cadence Embed data quality controls directly into core business workflows (CRM, ERP, etc.), emphasizing front-end prevention over downstream cleanup Data Platforms, Analytics & Enablement Ensure data platforms and architecture support trusted foundations, reducing duplication, manual reconciliation and conflicting reports Enable analytics, reporting and AI only where underlying data is fit for purpose, scalable and aligned to business priorities Partner with business leaders to apply clean data to a small set of high‑value use cases, translating data improvements into commercial, operational and digital impact Ensure analytics and AI practices comply with privacy, security, regulatory, and risk management requirements in partnership with IT, Legal and Cybersecurity Team Leadership and Financial Management Lead, mentor, manage and staff a team of leaders, ensuring alignment with organizational goals and promoting a culture of leadership excellence. Develop and implement strategies for talent acquisition and management, succession planning, and leadership development to build a pipeline of future leaders Drive team performance by setting clear goals, providing ongoing feedback, and facilitating professional growth opportunities Establish, manage, and be