IT Director, Enterprise Data Strategy, Management & Governance

Honeywell is transforming how data is managed, governed, and leveraged across the enterprise to accelerate business performance, operational excellence, digital transformation, and AI-powered decision making. We are seeking a Sr Director, Enterprise Data Strategy & Governance to lead the development and execution of Honeywell's enterprise data strategy and governance framework.

In this highly visible leadership role, you will partner across businesses, functions, and technology organizations to establish trusted, governed, and business-aligned data assets that enable enterprise reporting, operational processes, AI initiatives, and strategic transformation programs, including S/4HANA deployment and business process modernization.

You will drive the evolution of Honeywell's data governance operating model, strengthening accountability, stewardship, data quality, master data management, and transactional data governance while fostering a culture of enterprise-wide data ownership..

Responsibilities

Key Responsibilities

Enterprise Data Strategy

• Define and execute Honeywell's enterprise data strategy aligned with business transformation, operational excellence, S/4 modernization, and AI priorities.
• Develop a multi-year roadmap for enterprise data governance, quality, stewardship, and management capabilities.
• Establish business-driven outcomes, success metrics, and value realization plans for enterprise data initiatives.
• Partner with senior business and functional leaders to align data priorities with strategic objectives. 

Data Governance & Stewardship

• Lead the design and implementation of an enterprise-wide data governance framework.
• Establish clear ownership, accountability, and stewardship models across all critical data domains like Master, Transactional, Reference and Analytical.
• Facilitate enterprise governance forums and executive governance reviews.
• Drive governance policy development, standards adoption, and compliance monitoring. 

Data Quality & Trusted Data

• Establish enterprise data quality standards, KPIs, dashboards, and scorecards.
• Lead initiatives to improve data quality through root-cause resolution and governance at the point of creation.
• Build scalable remediation and monitoring processes across master and transactional data domains.
• Create visibility into data health, business impact, and governance maturity. 

Master Data Management