Honeywell International, Inc.
Sr Data Program Management Specialist - M&A
Honeywell International, Inc., Charlotte, North Carolina, United States, 28245
Honeywell Sr Data Program Management Specialist - M&A in Charlotte, North Carolina
The future is what we make it.When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. Working at Honeywell isn’t just about developing cool things. That’s why all our employees enjoy access to dynamic career opportunities across different fields and industries.As a Sr Data Program Management Specialist here at Honeywell, you will play a critical role in overseeing and managing data programs and initiatives across the organization. You will be responsible for ensuring the successful execution of data projects, driving data governance, and optimizing data utilization. Your expertise in data management and program management will be instrumental in driving operational excellence and innovation in data-driven decision-making.You will report directly to our Data Program Manager, and you'll work out of our Charlotte, NC or Atlanta, GA location on a hybrid work schedule. In this role, you will impact the organization by driving the strategic implementation of data programs, ensuring data quality and integrity, and enabling data-driven decision-making across the company.KEY RESPONSIBILITIES
Evaluate and enhance existing data migration processes across various teams, ensuring alignment with industry best practices and organizational goals.Guide and oversee large-scale data migration projects, including planning, execution, and post-migration validation.Work with cross-functional teams, including data architects, business analysts, and IT professionals, to define migration requirements and strategies.Utilize Gen AI/AI/Data Science techniques to develop innovative solutions that accelerate data migration processes and improve efficiency.Develop detailed data migration plans, including timelines, resource allocation, and risk management strategies.Standardize data requirements, templates for migration, extraction strategies, testing, and measuring productivity through the current Gen AI capabilities, and work with development teams to improve the tools.Evaluate opportunities for the application of Data Science or Gen AI or AI for data cleansing and data transformation, ensuring data quality and accuracy.Establish and enforce data quality standards and best practices throughout the data migration process.Regularly update stakeholders on migration progress, demand, and milestones.Provide training and facilitate end-users on new systems and processes implemented during the data migration.Identify opportunities for process improvements and automation within the data migration framework.Ensure technical teams are reusing the capabilities built and establish governance to follow the defined standards.Align timelines across technical towers to ensure seamless integration and migration.BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit www.honeywell.com.U.S. PERSON REQUIREMENTS
Must be a US citizen due to contractual requirements.YOU MUST HAVE
Minimum of 5 years of experience in data management, with a focus on data migration and data warehousing.Proven track record of successfully guiding large-scale data migration projects.Strong insight into ETL processes, data modeling, and database design.Proficient in SQL and experienced in working with data migration tools (e.g., HVR, ADF, Informatica, Talend, SSIS).WE VALUE
Bachelor's or master's degree in computer science, Data Science, or a related field.Experience with data migration processes in mergers and acquisitions.Familiarity with cloud computing platforms and their integration with data migration solutions.ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
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The future is what we make it.When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. Working at Honeywell isn’t just about developing cool things. That’s why all our employees enjoy access to dynamic career opportunities across different fields and industries.As a Sr Data Program Management Specialist here at Honeywell, you will play a critical role in overseeing and managing data programs and initiatives across the organization. You will be responsible for ensuring the successful execution of data projects, driving data governance, and optimizing data utilization. Your expertise in data management and program management will be instrumental in driving operational excellence and innovation in data-driven decision-making.You will report directly to our Data Program Manager, and you'll work out of our Charlotte, NC or Atlanta, GA location on a hybrid work schedule. In this role, you will impact the organization by driving the strategic implementation of data programs, ensuring data quality and integrity, and enabling data-driven decision-making across the company.KEY RESPONSIBILITIES
Evaluate and enhance existing data migration processes across various teams, ensuring alignment with industry best practices and organizational goals.Guide and oversee large-scale data migration projects, including planning, execution, and post-migration validation.Work with cross-functional teams, including data architects, business analysts, and IT professionals, to define migration requirements and strategies.Utilize Gen AI/AI/Data Science techniques to develop innovative solutions that accelerate data migration processes and improve efficiency.Develop detailed data migration plans, including timelines, resource allocation, and risk management strategies.Standardize data requirements, templates for migration, extraction strategies, testing, and measuring productivity through the current Gen AI capabilities, and work with development teams to improve the tools.Evaluate opportunities for the application of Data Science or Gen AI or AI for data cleansing and data transformation, ensuring data quality and accuracy.Establish and enforce data quality standards and best practices throughout the data migration process.Regularly update stakeholders on migration progress, demand, and milestones.Provide training and facilitate end-users on new systems and processes implemented during the data migration.Identify opportunities for process improvements and automation within the data migration framework.Ensure technical teams are reusing the capabilities built and establish governance to follow the defined standards.Align timelines across technical towers to ensure seamless integration and migration.BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit www.honeywell.com.U.S. PERSON REQUIREMENTS
Must be a US citizen due to contractual requirements.YOU MUST HAVE
Minimum of 5 years of experience in data management, with a focus on data migration and data warehousing.Proven track record of successfully guiding large-scale data migration projects.Strong insight into ETL processes, data modeling, and database design.Proficient in SQL and experienced in working with data migration tools (e.g., HVR, ADF, Informatica, Talend, SSIS).WE VALUE
Bachelor's or master's degree in computer science, Data Science, or a related field.Experience with data migration processes in mergers and acquisitions.Familiarity with cloud computing platforms and their integration with data migration solutions.ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
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