Senior Director, Enterprise Data Strategy & AI

Honeywell INC.

Charlotte (NC)

Hybrid

USD 213,000 - 266,000

Full time

4 days ago
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Job summary

Honeywell Technologies seeks a Senior Director of Business Data Strategy to define and execute our data strategy, governance, and analytics programs across the enterprise. You will partner with executive leadership to establish a data-driven operating model enabling measurable business outcomes.

You will drive AI enablement, data modernization, and enterprise analytics, shaping KPIs and value realization while promoting data literacy and self-service capabilities on a hybrid work schedule across

Qualifications

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

Responsibilities

  • Define and lead the enterprise business data strategy aligned with transformation objectives.
  • Establish a multi-year roadmap for data modernization, governance, analytics, and AI enablement.
  • Partner with executives to prioritize data initiatives delivering measurable impact.
  • Drive governance frameworks and ownership models across functions.

Skills

Lead data strategy
Executive influence
Cross-functional leadership
Translate strategy to data solutions

Education

Bachelor's degree
MBA or advanced degree

Tools

Data platforms (cloud)
BI tools
AI/ML platforms

Job description

Honeywell Technologies seeks a Senior Director of Business Data Strategy to define and execute our data strategy, governance, and analytics programs across the enterprise. You will partner with executive leadership to establish a data-driven operating model enabling measurable business outcomes.

You will drive AI enablement, data modernization, and enterprise analytics, shaping KPIs and value realization while promoting data literacy and self-service capabilities on a hybrid work schedule across

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