Senior Director Enterprise Data Strategy & Transformation

As Senior Director Enterprise Data Strategy & Transformation at Honeywell Technologies, you will define how data is used to shape business strategy, accelerate enterprise transformation, and deliver measurable value. You will establish a business-led data strategy and multi-year roadmap that connect trusted data, governance, analytics, and AI capabilities to the company’s most important growth, productivity, and operational priorities. 

This role requires a leader with deep, hands-on experience across enterprise data, including data strategy, governance, systems, analytics, and operating models. You will partner with senior executives and functional leaders to convert complex data opportunities into clear business priorities, scalable capabilities, and measurable outcomes. This is not a data architecture or purely technical analytics role. It is an enterprise transformation leadership position focused on making data a strategic business asset. 

You will report directly to the VP Transformation and work from our Charlotte, NC, Atlanta, GA, Rosemont, IL, or Houston, TX location on a hybrid work schedule.

Responsibilities

Key Responsibilities 

Enterprise Data Strategy

• Define and lead the enterprise business data strategy aligned with corporate transformation objectives and long-term business priorities.
• Establish a multi-year roadmap for data modernization, governance, analytics, and AI enablement.
• Identify opportunities to leverage data as a strategic asset to drive growth, operational excellence, customer value, and productivity improvements.
• Partner with executive leadership to prioritize data initiatives that deliver measurable business impact.

Data Governance & Business Ownership

• Establish enterprise data governance frameworks, policies, and standards to improve data quality, consistency, and accountability.
• Develop and implement business data ownership models across functions.
• Drive enterprise-wide adoption of data management best practices.
• Partner with business leaders to define critical data elements, stewardship responsibilities, and governance processes.
• Ensure alignment between business priorities, regulatory requirements, and data management practices.

Analytics & Business Intelligence

• Drive the evolution of enterprise analytics capabilities, dashboards, and performance management frameworks.
• Champion the use of advanced analytics to support strategic decision-making and operational execution.
• Collaborate with transformation and business leaders to develop meaningful KPIs, scorecards, and insights that drive accountability and performance.
• Promote self-service analytics capabilities and enterprise-wide data literacy.

AI & Digital Enablement

• Lead the business strategy for AI-powered decision support, automation, and predictive analytics capabilities for data.
• Partner with technology and transformation teams to identify, prioritize, and scale AI use cases across corporate functions.
• Establish frameworks to measure value realization from AI and advanced analytics investments.
• Evaluate emerging technologies and industry trends to ensure the organization remains at the forefront of data-driven innovation.

Transformation & Value Realization

• Serve as a key member of the Transformation leadership team, ensuring data capabilities enable enterprise transformation initiatives.
• Develop business cases and investment strategies for strategic data and analytics programs.
• Define metrics to measure transformation effectiveness, value realization, and business outcomes.
• Lead cross-functional programs that improve enterprise visibility, forecasting, planning, and operational decision-making.

Stakeholder Engagement & Executive Leadership

• Act as a trusted advisor to senior executives on business data strategy and analytics priorities.
• Build strong partnerships across Finance, HR, Operations, Commercial, Supply Chain, and Corporate Functions.
• Present strategic recommendations, performance insights, and investment proposals to executive leadership.
• Influence enterprise decisions through data-driven storytelling and actionable insights.

Organization & Capability Building

• Build and develop a high-performing organization for data strategy, governance, analytics, and business intelligence
• Foster a culture of curiosity, accountability, innovation, and continuous improvement.
• Increase organizational data literacy and promote data-driven decision-making at all levels.
• Lead change management efforts to accelerate adoption of new data capabilities and business processes.

Qualifications

You Must Have 

• 8+ years of progressive leadership experience in data strategy, business analytics, digital transformation, consulting, business intelligence, or related disciplines.
• Experience leading enterprise-scale data and analytics initiatives across multiple business functions.
• Proven ability to influence senior executives and drive cross-functional change.
• Demonstrated success translating business strategy into data-driven solutions and outcomes.

We Value 

• Bachelor's degree in Business, Engineering, Finance, Operations, Technology, or a related field.
• MBA, Master's degree, or other advanced degree.
• Experience developing enterprise data governance and data management programs.
• Background in management consulting, corporate strategy, transformation, or enterprise analytics leadership.
• Experience with AI, machine learning, predictive analytics, and data-driven business transformation initiatives.
• Knowledge of modern data platforms, cloud-based analytics ecosystems, and business intelligence technologies.
• Strong financial acumen and experience developing investment business cases.

Pay Equity

The annual base salary range for this position is $213,000 - $266,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.”

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. 

Posting Date: 10/20/2026 

Benefits of Working for Honeywell Technologies

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell Technologies employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more.

Honeywell Technologies is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. To learn more about inclusion and engagement, click here.

About UsHoneywell 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.