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This role offers a unique opportunity to shape our data strategy for SAP S/4HANA, drive innovation in data architecture and migration methodologies, and ensure that our enterprise data solutions align with business objectives while supporting our end-to-end ERP transformation.

You will report directly to our IT Director of Delivery, and you'll work out of one of our Phoenix, AZ or Charlotte, NC locations on a hybrid work schedule.

In this role, you will have a significant impact on the success of our S/4HANA transformation by overseeing the development of data migration strategies, master data management frameworks, and analytics solutions. Your strategic vision will empower your team to innovate and deliver high-quality data solutions that enable seamless S/4HANA deployment, drive business value, and ensure operational excellence across our global enterprise.

KEY RESPONSIBILITIES

+ Lead and mentor a high-performing team focused on data engineering, data migration, master data management, and analytics for S/4HANA transformation initiatives.

+ Develop and execute comprehensive data migration strategies including data extraction, transformation, cleansing, validation, and loading (ETL) for S/4HANA deployment waves.

+ Oversee master data governance frameworks ensuring data quality, consistency, and alignment across materials, customers, vendors, financials, and organizational hierarchies within S/4HANA.

+ Design and implement SAP-native and hybrid data architectures leveraging SAP Datasphere, SAP Data Intelligence, BW/4HANA, and cloud data platforms to support analytics and reporting.

+ Collaborate with cross-functional teams including business process owners, functional consultants, and technical architects to define data requirements, mapping rules, and transformation logic.

+ Establish data quality frameworks with automated validation, reconciliation, and monitoring processes to ensure accuracy and integrity throughout migration and stabilization phases.

+ Lead the design of real-time and batch integration patterns for data flows between S/4HANA and connected systems (CRM, PLM, MES, legacy ERP, analytics platforms).

+ Drive innovation in data engineering practices by implementing DataOps methodologies, automation tools, and AI-assisted data quality solutions.

+ Monitor and evaluate data engineering processes, making recommendations for improvements and ensuring compliance with enterprise data governance policies and industry best practices.

+ Partner with enterprise architecture and infrastructure teams to optimize data platform performance, scalability, and cloud integration strategies.

+ Manage stakeholder expectations and provide transparent reporting on data migration readiness, quality metrics, and risk mitigation activities.

US Person Requirement

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

YOU MUST HAVE

+ Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

+ 6+ years of experience in data engineering, data migration, or related fields, including a minimum of 3 years in a leadership role.

+ Strong expertise in data migration methodologies, data architecture, data modeling, and ETL/ELT processes, specifically within SAP ERP or S/4HANA environments.

+ Proficiency in SAP data migration tools and approaches including SAP Migration Cockpit, LTMC, LSMW, SAP Data Services, or S/4HANA Migration Object Modeler.

+ Experience with programming languages such as Python, SQL, ABAP, Java, or Scala for data transformation and automation.

+ Hands-on experience with SAP data platforms (SAP Datasphere, BW/4HANA, SAP HANA) and modern cloud data platforms (e.g., AWS, Azure, GCP data services).

+ Deep understanding of SAP master data structures, business objects, and data relationships across finance, supply chain, sales, and manufacturing modules.

+ Proven track record of successfully leading cross-functional data teams and building strong stakeholder relationships across business and IT organizations.

+ Experience with data quality management, data reconciliation frameworks, and automated testing approaches for large-scale data migrations.

WE VALUE

+ Master's degree in Computer Science, Data Science, Information Systems, or a related field.

+ 8+ years of experience in data engineering with specific focus on large-scale ERP data transformations.

+ Experience leading S/4HANA data migration initiatives across multiple deployment waves or global rollouts.

+ Expertise in SAP Data Intelligence, SAP Datasphere, BW/4HANA, or SAP Analytics Cloud implementation and architecture.

+ Familiarity with SAP Master Data Governance (MDG) and enterprise-wide master data management strategies.

+ Knowledge of big data technologies like Hadoop, Spark, Kafka, or cloud-native data processing frameworks.

+ Experience with DataOps, DevOps for data pipelines, CI/CD automation, and Infrastructure as Code for data platforms.

+ Ability to communicate complex data concepts, migration strategies, and technical risks to non-technical stakeholders and executive leadership.

+ Strong problem-solving skills and a strategic mindset with ability to balance technical excellence with pragmatic delivery timelines.

+ Deep familiarity with data governance frameworks, data privacy regulations (GDPR, CCPA), and compliance standards in regulated industries.

+ Prior experience in Aerospace & Defense, Manufacturing, or other complex industries with high data volumes and stringent quality requirements.

+ Certifications such as SAP Certified Application Associate (Data Migration), AWS/Azure/GCP Data Engineering, or similar credentials.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

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.