Join a team recognized for leadership, innovation and diversity
Lead Data Management Analyst is responsible for implementing the data solutions for transformation and migration for ERP deployments by utilizing established processes. The Lead Data Management Analyst is also responsible to provide technical leadership, data functional excellence, understand ERP GDM requirements and convert them into technical solutions work closely with co-source partners and support multiple SAP deployment projects.
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
- Enforce common development methodologies for Data Migrations.
- Partner with Data Leads on deployments and projects to ensure data schedule alignment
- Enforce Management Operating system (MOS) and methodologies for M&A, Deployments and Transitions into core ERP 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
- Develop and deliver tasks as per SLAs 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
- Work with extended data team to create or update standard mapping documents.
- Research, evaluate, identify alternative approaches, recommend, design and code efficient and effective solutions for challenging problems ranging from small to large work efforts for low to high complexity problems.
- Work concurrently on multiple projects, each with specific instructions that may differ from project to project
- Provide mentorship and change management leadership for introduction of new data tools and capabilities
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 Data Migration/Data Warehouse/ETL applications (Informatica)/RDBMS(oracle) Knowledge/SAP data migration
- Functional experience in ERP SAP related application with configuration, table, structures for data mapping and rule definition
- Hands-on experience Informatica, Oracle, SQL Server development or similar, scripting language like Shell Script, Python.
- Knowledge with AI/ML capabilities or advanced data analytics tools
- Strong leadership and project management skills
WE VALUE
- Experience in AERO Domain
- Excellent communication (verbal and written) and presentation skills
- Ability to collaborate and influence across the organization
- Working knowledge of Jira, BO, Tableau, Google Sheets or any other visualization tool
- Agile methodology experience is plus
#LI-Hybrid
Additional Information
- JOB ID: HRD9085373
- Category: Data & Analytics
- Relocation Tier: Not Applicable
- Security Clearance: No Clearance
- Aviation Authority (FAA for US): No
- Band: 04
- Referral Bonus: 0
- Requisition Type: Pre-sourcing Requisition
- US Citizenship: Due to US export control laws, must be a US citizen, permanent resident or have protected status.
- FLSA Statement:
- FLSA CODE: Exempt
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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