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# Senior Director Business Data Strategy

- **Company:** Honeywell International Inc.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $213,000.0 - $266,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Governance, Data Infrastructure, Data Transformation, Data Presentation, Decision Support Systems, Data Intelligence, Machine Learning, Data Strategy, Data Analytics, Data Management
- **Published:** October 26, 2026
- **Apply:** https://www.houstonjobsite.com/job.asp?id=3472121177&tx=FR9794FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## Description

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.