What are the responsibilities and job description for the Sr Data Program Mangement Specialist position at honeywell?
As a Sr Data Program Management Specialist at Honeywell, you will play a pivotal role in transforming data migration processes across the organization. You will leverage your expertise in data migration and ETL while employing advanced Gen AI and Data Science techniques to enhance data quality and efficiency. Your leadership will guide large-scale data migration projects, ensuring they align with best practices and organizational goals
You will report directly to our Director of Gen AI Strategy for Digital IT, and you'll work out of our Charlotte, NC or Atlanta, GA or Houston, TX location on a hybrid work schedule.
- Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.
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
- Process Evaluation and Enhancement:
Evaluate and enhance existing data migration processes across various teams to ensure they meet industry best practices and align with organizational goals.
- Innovation:
Oversee large-scale data migration projects, focusing on identifying opportunities to improve data migration through the application of Gen AI and Data Science techniques, particularly in data cleansing and transformation for enhanced data quality and accuracy. - Development of Reusable Capabilities:
Drive the creation of new reusable capabilities to foster consistency and efficiency across IT teams, ensuring scalable solutions to meet the organization’s evolving needs. - Cross-Functional Collaboration:
Collaborate with data architects, business analysts, and IT professionals to define migration requirements and strategies that meet organizational objectives. - Drive Adoption:
Collaborate closely with IT teams to ensure the successful adoption of data migration capabilities. Actively collect feedback from stakeholders to iterate and improve tools, enhancing their efficacy and user experience. - Standardization and Measurement:
Standardize data requirements, migration templates, and extraction strategies while measuring productivity through existing Gen AI capabilities. Collaborate with development teams to refine and optimize tools utilized for data migration. - Data Quality Enforcement:
Establish and enforce data quality standards and best practices throughout the data migration lifecycle to ensure data integrity and accuracy. - Training and Support:
Provide training and resources to end-users regarding new systems and processes implemented during data migration initiatives, ensuring a smooth transition and effective utilization. - Process Improvement and Automation:
Identify and implement process improvements and automation opportunities within the data migration framework to drive efficiencies. - Governance and Compliance:
Ensure that technical teams regularly reuse established capabilities, promoting governance and adherence to defined standards for data management. - Timeline Coordination:
Align timelines across technical teams to support seamless integration and migration processes.
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 click here
U.S. PERSON REQUIREMENTS
Must be a US citizen due to contractual requirements
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
