Data Solutions Manager

Moog; Buffalo (NY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work in Buffalo

Job summary

Moog in Buffalo, NY seeks a Data Solutions Manager to lead data strategy, engineering, and delivery of analytics capabilities in a hybrid IT environment. You will guide the migration from SAP ECC to SAP S/4HANA, grow a high-performance data engineering team, and ensure alignment with enterprise data standards.

You will partner with IG IT, Data Management, BI, Finance, and SAP teams to deliver scalable data solutions while managing continuity risk during the transformation.

Qualifications

• Bachelor's degree in CS/IS/Engineering or equivalent experience.
• 7+ years in data roles with 5+ years leading technical data teams.
• Experience building data architecture and engineering principles.
• Strong SQL, Spark, Python, and ELT tooling expertise.
• Familiarity with enterprise data warehousing and ERP data migrations to SAP S/4HANA.

Responsibilities

• Oversee data solutions team for architecture, engineering, and delivery.
• Define target-state data architecture for IG including lakehouse modeling and BI enablement.
• Sequence a multi-year data solutions roadmap balancing value, cost, risk.
• Ensure reliability of current IG data warehouse and analytics platforms.
• Lead migration onto the Databricks lakehouse with governance alignment.
• Collaborate with Data Governance on documentation of logic and KPIs.
• Manage ERP data migration teams across SAP ECC and legacy ERP systems.

Skills

Data architecture

Data governance

SQL

Python

Databricks

ETL/ELT

Warehouse modeling

Leadership

Stakeholder management

Cloud/lakehouse

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

SAP ECC/S/4HANA

SAP BW

Snowflake/Synapse

Delta Lake

Unity Catalog

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 data warehouse and analytics platforms; leading a team of employees and contractors to manage incident response, change deployment, business continuity, and other sustainment functions.
• Lead IG's migration onto Moog's existing corporate Databricks (lakehouse) environment for warehousing and analytics, working in close partnership with the corporate Data Management team to ensure architectural alignment.
• Partner with Data Governance team on documentation of existing data warehouse business logic (multi-ERP harmonization, GL calculations, finance KPIs, etc.) so that it can be evaluated and dispositioned as part of the migration program.
• Translate the target‑state architecture into an executable plan with milestones, decision gates, and retirement criteria with validation before decommissioning legacy assets.
• Manage the ERP data migration teams who execute data cleansing, mapping, and transformation processes across multiple SAP ECC and legacy ERP systems as part of the broader ERP tra