Data Solutions Manager at Moog in Buffalo, NY

Job description

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title : Data Solutions Manager Work Schedule: Hybrid – Buffalo, NY Moog's Industrial Group (IG) IT team is seeking a Data Solutions Manager to lead the technical strategy, engineering, and delivery of trusted data and analytics capabilities. In this leadership role you will set the technical direction for a modern data lakehouse and ERP data landscape and then help the team build it. You will focus on the platform and engineering components: taking requirements from data governance and process functions and building data solutions in alignment with IG and enterprise data standards. You will operate at the center of a multi-year data and ERP transformation: keeping the current data warehouse reliable today, leading its migration onto Moog's corporate Databricks environment, growing a high-performing data engineering team that builds new data products, and steering the data migration from SAP ECC and legacy ERP platforms to SAP S/4HANA. You will partner closely with the IG IT, Data Management, Business Intelligence, Finance, and the SAP teams to deliver scalable, standards-aligned, future-ready data solutions while managing continuity risk throughout the transition. You will report to the Senior Director of IT, Industrial Group. The role can be based in the US, UK or Europe. To be considered for the Data Solutions Manager, here’s what you’ll typically need to bring with you: Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or a combination of education and equivalent experience. Minimum of seven (7 ) years’ experience in data roles, with at least five (5) years leading technical data teams (data engineering, warehousing, or platform delivery), including hiring, coaching, performance management, and vendor oversight. Demonstrated experience building data architecture, strategy, and engineering principles, both from a hands-on and leadership perspective. Strong familiarity with enterprise data warehousing — dimensional/semantic modeling, ETL, SQL performance tuning, and warehouse platforms (e.g., SAP BW, Progress, Snowflake, Synapse, or similar). Hands-on experience building and delivering solutions in Databricks, including working knowledge of Delta Lake, Databricks Workflows, Genie spaces, and Unity Catalog controls. Strong command of SQL, Spark, Python, and modern ELT/orchestration tooling, with an automation-first, reusable-framework mindset. Familiarity with data contracts, including producer-consumer accountability, schema evolution standards, data quality requirements, and platform governance controls. Experience managing data migration efforts (extraction, cleansing, mapping, load, reconciliation), preferably in a SAP ECC and/or S/4HANA context. Excellent communication and stakeholder management across technology, business process, finance, and program teams, including communication with senior leadership. Ability to work effectively with global, remote, and diverse teams. Domestic and International travel may be required. As the Data Solutions Manager, your key responsibilities will include: Oversee IG’s data solutions team, helping to set for data architecture, data engineering, and data solution delivery Develop and maintain the target-state technical data architecture for IG, spanning ingestion, lakehouse modeling (bronze/silver/gold), semantic layers, and BI enablement, aligned with Moog's enterprise data governance and standards. Define and sequence a multi-year data solutions roadmap, ensuring balance between business value, cost, risk, and solution re-use to deliver on IG business needs. Own the reliability and performance of the current IG da