Senior Director, Data Strategy & AI Enablement (Hybrid)

Honeywell International Inc.; Rosemont (IL); Hybrid; USD 213.000 - 266.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k) match

Paid time off

Parental Leave

Education Assistance

Zusammenfassung

Honeywell Technologies is seeking a Senior Director of Business Data Strategy to shape and execute a company-wide data approach. You will collaborate with executive leaders to establish a data-driven operating model that advances transformation, governance, analytics, AI enablement, and enterprise value.

You will build a multi-functional data function, drive KPIs, enable self-service analytics, and ensure data literacy across the organization on a hybrid schedule from multiple U.S.

Qualifikationen

• Experience leading enterprise-scale data and analytics initiatives.
• Ability to influence senior executives and drive cross-functional change.
• Proven track record translating business strategy into data-driven outcomes.

Aufgaben

• Define and lead the enterprise business data strategy aligned with transformation objectives.
• Establish multi-year roadmap for data modernization, governance, analytics, and AI enablement.
• Drive analytics, dashboards, and performance management frameworks across the enterprise.
• Partner with executives to prioritize data initiatives that deliver measurable business impact.

Kenntnisse

Data strategy

Leadership

Enterprise analytics

Governance

AI enablement

BI / Business intelligence

Change management

Stakeholder engagement

Ausbildung

Bachelor's degree

MBA or Master's degree

Tools

Cloud platforms

BI technologies

Data governance tools

Jobbeschreibung

Honeywell Technologies is seeking a Senior Director of Business Data Strategy to shape and execute a company-wide data approach. You will collaborate with executive leaders to establish a data-driven operating model that advances transformation, governance, analytics, AI enablement, and enterprise value.

You will build a multi-functional data function, drive KPIs, enable self-service analytics, and ensure data literacy across the organization on a hybrid schedule from multiple U.S.