Data Management Specialist II

As a Data Management Specialist II here at Honeywell, you will guide and mentor a team of dedicated data professionals, setting the gold standard for data governance, optimization, and strategic utilization. Your expertise in data architecture, ETL processes, and data modeling will be instrumental in ensuring our data infrastructure supports informed decision-making and drives operational excellence. As a Data Management Specialist II, youll have the opportunity to foster a culture of data excellence, collaborate with cross-functional teams, and lead the charge in redefining whats possible in data management.

In this role, you will impact our data management strategies, fostering a culture of excellence, innovation, and operational efficiency. By mentoring a team of dedicated data professionals, you will drive data governance, optimization, and utilization to new heights, ensuring that data becomes a pivotal asset for us. Join us in this crucial position and be a driving force in reshaping the data landscape, where data is not just managed but harnessed as a catalyst for transformation and success.

YOU MUST HAVE

• 2+ years of experience in data management, data engineering, or a related role.
• Demonstrated leadership abilities and experience in managing teams.
• Proficiency in data management tools and technologies (ETL, SQL, data integration).
• Understanding of database management systems and data warehouse architectures.
• Ability to excel in a fast-paced, dynamic environment.

WE VALUE

• Bachelors degree in Computer Science, Data Management, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in project management and the successful delivery of data management projects.
• Excellent communication and presentation skills.
• Familiarity with modern data management technologies and cloud-based solutions.
• Knowledge of data governance, security, and compliance.

Key Responsibilities

• Manage and optimize data assets, ensuring data accuracy, integrity, and security
• Develop and implement data management strategies and best practices
• Collaborate with cross-functional teams to understand data requirements and develop data models
• Implement data integration solutions to support business needs
• Monitor and improve data quality through data cleansing and validation processes
• Identify and resolve data issues and discrepancies
• Stay updated on industry best practices and emerging trends in data management

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