Senior Director Enterprise Data Strategy & Transformation
Honeywell
Charlotte, NC · Posted October 27, 2026
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Where Charlotte, NC ranks
Where Charlotte, NC placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for manufacturing and industrial jobs645 openings · of 100
- #2Cities with the most jobs that do not need a four-year degree in the Southeast298 jobs · of 72
- #3Best cities for software and engineering jobs in the Southeast654 openings · of 65
- #5Best cities for financial services jobs726 openings · of 90
- #6Cities hosting the most business conferences in the Southeast13 conferences · of 21
- #8Best cities for healthcare pay after cost of living$143k · of 24
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- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
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Honeywell has filed 2 layoff notices in the last twelve months, covering 60 workers, most recently May 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
As Senior Director Business Data Strategy at Honeywell Technologies, you will be responsible for defining and executing the organization's business data strategy to accelerate transformation, improve decision-making, and enable measurable business outcomes. Reporting to the Vice President of Transformation, this role partners closely with executive leadership, corporate functions, and business stakeholders to establish a data-driven operating model that unlocks enterprise value through trusted, accessible, and actionable data.
You will drive enterprise-wide initiatives focused on data strategy, governance, analytics, AI enablement, business intelligence, and data modernization. The role requires a unique combination of strategic thinking, business acumen, transformation leadership, and data expertise to ensure data becomes a competitive advantage across the enterprise.
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.
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.
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 .
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.