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Lead Data Management Analyst- Program Data Lead
Data Management Analyst Lead responsible for driving data transformation and migration for ERP deployments. The Data Management Analyst Lead is responsible to provide leadership, data functional knowledge with strong data migration process expertise to develop robust delivery plans working closely with project managers, extended IT team and business users and co-source partners.
Key Responsibilities
Data Migration Implementation Strategy and Project Management
- Lead data migration activities working with various data stakeholders and business to develop robust data plans in support of deployments, projects or enhancements
- Proven track record of successfully leading data deployments as Data manager, with expertise in Cutover planning
- Partner with project managers on deployments and projects to ensure data schedule alignment
- Identify opportunities for process improvements, product enhancements, and cost optimization to drive continuous innovation
- Enforce Management Operating system and methodologies for M&A, Deployment and Transitions into core ERP SAP applications
- Ensure that data related reporting metrics and status updates are created and are accurate at any given time
- Establish or enforce best practices needed for new data solution implementations working closely with the functional team and extended data stakeholders
- Collaborate with the Data Management organization to support enforcement of data quality standards and processes for ERP deployments, projects or enhancements
- Manage and direct tasks related to analysis, design and implementation of technical data migration solutions
- Work with extended data team to create design documents and estimates for enhancement efforts
- Drive data related development, testing and deployment deliverables
- Partner with other data leads / developers and support project planning, technical design, development and solution delivery functions
- Identify opportunities in business processes, system capabilities and delivery methodologies for continuous improvement as applicable
- Works autonomously as a data lead on a diverse range of tasks and is relied upon to coach/educate others
- Provide mentorship and change management leadership for introduction of new data tools and capabilities
- Data migration or integration experience as a technical data systems analyst, such as LSMW, LTMC etc.
- Strong project management skills, scope analysis, strategic planning, and the ability to effectively communicate and collaborate with stakeholders at all levels
U.S. PERSON REQUIREMENTS
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.
YOU MUST HAVE
- Bachelor of Science in Computer Science, Information Technology or equivalent, with minimum 8+ years of relevant experience.
- Data Integration and full cycle data migration experience for large, complex projects
- Functional experience in ERP SAP related application with configuration, table, structures for data mapping and rule definition
- Knowledge with AI/ML capabilities or advanced data analytics tools
- Strong leadership and project management skills
- Ability to adapt to a fast-paced and changing environment
- Ability to motivate and build high performing team
WE VALUE
- Experience in AERO Domain
- Excellent communication (verbal and written) and presentation skills
- Ability to collaborate and influence across the organization
- Experience with Informatica Power Center, Analysis and Data Quality tools
- Working knowledge of BO, Tableau, Google Sheets or any other visualization tool
- Agile methodology experience is plus
#LI-Hybrid
Additional Information
- JOB ID: HRD9085381
- Category: Data & Analytics
- Location: 855 S Mint St,Charlotte,North Carolina,28202,United States
- Exempt
- Due to US export control laws, must be a US citizen, permanent resident or have protected status.
Global (ALL)
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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