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Sr Advanced Data Governance Specialist at Honeywell

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Integrity, AI Governance, Data Quality, Compliance Standards, Data Management Strategies, Data Analytics, Reporting, Informatica, Collibra, MDG, Data Privacy Regulations, Data Security, Problem-Solving, Project Management

Industry

electrical;Appliances;and Electronics Manufacturing

Description

As a Sr Advanced Data Governance Specialist here at Honeywell, you will play a crucial role in ensuring the integrity, governance and accessibility of our enterprise data and AI governance assets. This role ensures data and AI assets are trusted, compliant, explainable, and fit for analytics, reporting, and AI-enabled use cases across the enterprise. our expertise in data governance will help shape our data management strategies, ensuring compliance and driving business insights through effective data utilization. In this role, you will impact our organization by establishing robust data governance frameworks that enhance data quality and compliance, ultimately enabling data-driven decision-making across the company. You will report directly to our Data Governance leader and you’ll work out of our Phoenix, AZ or Charotte, NC location on a Hybrid work schedule. Note: For the first 90 days new hires will work onsite M-F. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Responsibilities

The specialist will ensure the integrity, governance, and accessibility of enterprise data and AI governance assets, making sure they are trusted, compliant, and fit for various use cases. This role involves establishing robust data governance frameworks to enhance data quality and compliance, enabling data-driven decision-making.