招聘
必备技能
SQL
We are seeking a SAP S/4 Data Migration Technical Resource to architect and execute end-to-end data migration strategy across finance, supply chain, manufacturing, and commercial domains.
This role will drive migration governance, tool strategy, mock conversion cycles, and production cutover readiness in a complex, multi-entity environment.
This is a hands-on technical leadership role requiring deep expertise in SAP migration tools, data quality frameworks, and structured transformation governance.
Basic Qualifications Bachelor’s Degree in Information Systems, Computer Science, Engineering, or related field.8–12+ years SAP data migration experience.2+ full lifecycle SAP implementations (minimum 1 S/4HANA).Proven experience leading migration workstreams.
Required Expertise Deep experience with SAP S/4 Migration Cockpit.
Hands-on LSMW expertise.
Experience with enterprise ETL/data migration tools (BODS, Syniti, Informatica).Strong SQL and data transformation logic skills.
Experience migrating high-volume transactional and master data.
Strong reconciliation and financial validation expertise.
Preferred Qualifications Aerospace & Defense or highly regulated industry experience.
Experience in Central Finance migration scenarios.
Experience in carve-outs or enterprise separation initiatives.
Familiarity with automation and data validation scripting.
Exposure to data governance frameworks and enterprise MDM strategies.
Leadership Competencies Structured and disciplined execution mindset.
Strong governance orientation with audit-readiness focus.
Executive-level communication capability.
Ability to operate under aggressive transformation timelines #AERO26
Key Responsibilities Data Migration Strategy & Best Practices Define and execute enterprise data migration strategy aligned to SAP Activate methodology.
Establish migration governance, templates, and quality standards.
Drive clean data principles and minimize legacy data carry-forward.
Implement structured mock loads, reconciliation cycles, and defect management.
Ensure traceability and audit-ready documentation.
Migration Tool ExpertiseSAP S/4 Data Migration Cockpit Lead configuration and execution of Migration Cockpit (LTMC / Fiori-based Migration Cockpit).Develop migration objects and mapping rules.
Manage staging tables and transformation logic.
Validate and reconcile migrated data. LSMW & Legacy Tools Leverage LSMW for legacy ECC migrations where applicable.
Design and manage batch input and direct input programs.
Transition legacy migration approaches to S/4-compliant frameworks.
Applicable Data Migration Tools Experience with enterprise-grade migration tools such as:SAP Data Services (BODS)Syniti (Back Office Associates)InformaticaSAP SLT (for Central Finance scenarios)Build transformation rules and ETL workflows.
Partner with enterprise data teams on large-volume conversions.
Domain Data Accountability Lead migration activities for:Customer Master Vendor Master Material MasterBOMs and Routings Open AR/AP balancesGL balances Inventory Ensure reconciliation between legacy and S/4 environments.
Support financial sign-off and operational validation.
Data Quality & Governance Define validation rules and automated reconciliation checks.
Drive data cleansing initiatives with business data owners.
Collaborate with MDM teams to ensure master data harmonization.
Support compliance with SOX, ITGC, and audit controls.
Cutover & Deployment Develop detailed cutover plans and migration runbooks.
Lead mock conversions and dress rehearsals.
Coordinate with functional, technical, and infrastructure teams.
Ensure minimal business disruption during go-live.
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关于Honeywell

Honeywell
PublicHoneywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building automation, industrial automation, and energy and sustainability solutions (ESS).
10,001+
员工数
Charlotte
总部位置
$130B
企业估值
评价
2.3
2条评价
工作生活平衡
2.5
薪酬
3.5
企业文化
2.0
职业发展
2.0
管理层
1.5
15%
推荐给朋友
优点
Good compensation potential
Competitive pay scale
缺点
Poor communication from recruiters
Inadequate safety training
Poor management response to incidents
薪资范围
901个数据点
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2份报告
$136,600
年薪总额
基本工资
$105,077
股票
-
奖金
-
$136,600
$136,600
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
录用率
33%
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Assessment/Testing
5
Final Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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