Sr IT Director, Enterprise Data Strategy, Management & Governance

Honeywell INC. in; Charlotte (NC); On-site; USD 180,000 - 260,000; Full time

Job summary

Honeywell Technologies seeks a Sr IT Director to lead the enterprise data strategy, governance, and MDM initiatives across Finance and ERP ecosystems. You will shape the governance model, drive data ownership, and partner with executives to enable AI, analytics, and S/4 modernization across global operations.

You will build a scalable data program, define success metrics, and oversee data quality and stewardship across master and transactional data.

Qualifications

• 12+ years of progressive experience in data management and governance.
• 5+ years leading enterprise-scale data governance or data quality programs.
• Experience in global organizations with multiple business units.
• Experience supporting ERP transformations, preferably SAP S/4HANA.
• Proven success leading cross-functional transformation programs.

Responsibilities

• 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.
• Lead the design and implementation of an enterprise-wide data governance framework.
• Establish ownership, accountability, and stewardship models across critical data domains.
• Facilitate enterprise governance forums and executive governance reviews.
• Drive governance policy development, standards adoption, and compliance monitoring.
• Establish enterprise data quality standards, KPIs, dashboards, and scorecards.
• Lead initiatives to improve data quality through remediation and governance at source.
• Build scalable remediation and monitoring processes across master and transactional data domains.
• Create visibility into data health, business impact, and governance maturity.
• Lead the enterprise strategy for Master Data Management and golden record creation.
• Ensure consistent governance, quality, lineage, and lifecycle management across data domains.
• Harmonize data across ERP, CRM, supply chain, finance, and manufacturing systems.
• Define critical data elements, business rules, and stewardship processes.

Skills

Data governance

Data management

Analytics

Information management

Digital transformation

Education

Master's degree or MBA

Tools

Collibra

Informatica MDM

Informatica IDQ

SAP MDG

Job description

Sr IT Director, Enterprise Data Strategy, Management & Governance (Finance)

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

• Lead the enterprise strategy for Master Data Management (MDM) and golden record creation.
• Ensure consistent governance, quality, lineage, and lifecycle management across critical master data domains.
• Drive harmonization and synchronization of data across ERP, CRM, supply chain, finance, and manufacturing systems.
• Partner with business stakeholders to define critical data elements, business rules, measures of success and stewardship processes.
• Expand governance beyond master data to include end-to-end business process and transactional data governance.
• Improve data lineage, referential integrity, auditability, and process performance across enterprise systems.

Organizational Leadership

• Lead and develop a team of data governance, stewardship, master data, and data quality professionals.
• Influence cross-functional teams without direct authority to achieve enterprise objectives.
• Drive organizational change management, adoption, and data literacy initiatives.
• Build strong partnerships with business leaders, IT leaders, digital teams, and external partners.

Qualifications

YOU MUST HAVE

• 12+ years of progressive experience in Data Management, Data Governance, Analytics, Information Management, or Digital Transformation.
• 5+ years of experience leading enterprise-scale data governance, master data management, or data quality programs.
• Experience working within complex global organizations with multiple business units and functions.
• Experience supporting large-scale ERP transformations, preferably SAP S/4HANA.
• Demonstrated success leading cross-functional transformation programs.

WE VALUE

• Master's degree or MBA.
• Deep expertise in Data Governance, Data Quality, Master Data Management, and Metadata Management.
• Experience with platforms such as Collibra, Informatica MDM, Informatica IDQ, SAP MDG, or similar technologies.
• Knowledge of industry data governance frameworks and maturity models.
• Experience enabling AI, advanced analytics, and digital transformation through data capabilities.
• Ability to influence senior executives and drive organizational alignment.
• Strong executive communication and stakeholder management skills.
• Proven ability to translate business strategy into scalable data programs.

About Us

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation-to-autonomy.