Data Solutions Manager

Moog Inc.
•$130,000 - $185,000•Hybrid

About The Position

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. The role sets technical direction for a modern data lakehouse and ERP data landscape and leads the team responsible for building it, translating requirements from data governance and process functions into solutions aligned with IG and enterprise data standards. The manager will support a multi-year data and ERP transformation by maintaining the current data warehouse, leading its migration to Moog's corporate Databricks environment, developing a high-performing data engineering team, and steering data migration from SAP ECC and legacy ERP platforms to SAP S/4HANA. The position partners with IG IT, Data Management, Business Intelligence, Finance, and SAP teams to deliver scalable, standards-aligned data solutions while managing continuity risk during the transition. The role reports to the Senior Director of IT, Industrial Group and may be based in the US, UK, or Europe. Domestic and international travel may be required.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience combining education and experience.
  • At least 7 years of experience in data roles.
  • At least 5 years leading technical data teams in data engineering, warehousing, or platform delivery, including hiring, coaching, performance management, and vendor oversight.
  • Demonstrated hands-on and leadership experience building data architecture, strategy, and engineering principles.
  • Strong familiarity with enterprise data warehousing, including dimensional and semantic modeling, ETL, SQL performance tuning, and warehouse platforms such as 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 migrations involving extraction, cleansing, mapping, loading, and reconciliation; SAP ECC and/or S/4HANA experience is preferred.
  • Excellent communication and stakeholder-management skills across technology, business process, finance, and program teams, including communication with senior leadership.
  • Ability to work effectively with global, remote, and diverse teams.

Nice To Haves

  • Experience managing data migration in an SAP ECC and/or S/4HANA context.

Responsibilities

  • Oversee IG’s data solutions team and help set direction for data architecture, data engineering, and data solution delivery.
  • Develop and maintain IG’s target-state technical data architecture, including ingestion, bronze/silver/gold lakehouse modeling, semantic layers, and BI enablement, aligned with enterprise governance and standards.
  • Define and sequence a multi-year data solutions roadmap that balances business value, cost, risk, and solution reuse.
  • Own reliability and performance of current IG data warehouse and analytics platforms, leading employees and contractors in incident response, change deployment, business continuity, and sustainment.
  • Lead IG’s migration to Moog’s corporate Databricks lakehouse environment in partnership with the corporate Data Management team.
  • Partner with Data Governance to document existing data warehouse business logic, including multi-ERP harmonization, GL calculations, and finance KPIs, for evaluation during the migration program.
  • Translate target-state architecture into an executable plan with milestones, decision gates, and retirement criteria, with validation before legacy assets are decommissioned.
  • Manage ERP data migration teams conducting data cleansing, mapping, and transformation across SAP ECC and legacy ERP systems.
  • Build a high-performing data solutions team by establishing talent and development plans to source, hire, train, and reskill data engineers.
  • Establish engineering standards for data quality, freshness, lineage, CI/CD, and documentation, consistent with stakeholder requirements and enterprise standards.
  • Advise business and technology leaders on data best practices, translate business needs into actionable solutions, and maintain clear, collaborative communication.

Benefits

  • Annual profit sharing.
  • Matching 401(k).
  • Employee Stock Purchase Plan.
  • Flexible Spending and Health Savings Accounts.
  • Flexible paid time off and holidays.
  • Parental leave program.
  • Relocation assistance.
  • Medical, dental, vision, life, and disability insurance coverage.
  • Employee Assistance Plan and other supplemental benefit coverages.
  • Tuition assistance.
  • Mentorship and coaching opportunities.
  • Leadership development and other personal growth programs.
  • Inclusive culture, Employee Resource Groups, and team-building activities.
  • Additional site-specific benefits may be offered.
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