Data Solutions Manager

Moog • Buffalo, NY

5d • Hybrid

About The Position

Moog’s Industrial Group 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, while working with the team to build and deliver the solutions. It focuses on platform and engineering work, translating requirements from data governance and process functions into solutions aligned with Industrial Group and enterprise data standards.

The position is central to a multi-year data and ERP transformation. The manager will maintain the reliability of the current data warehouse, lead its migration to Moog’s corporate Databricks environment, grow a high-performing data engineering team, and oversee data migration from SAP ECC and legacy ERP platforms to SAP S/4HANA. The role partners with Industrial Group 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. It may be based in the United States, the United Kingdom, or Europe; the posting identifies a hybrid work schedule in Buffalo, New York. Domestic and international travel may be required. The position requires access to U.S. export-controlled information.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and experience.
• At least seven years of experience in data roles.
• At least five years leading technical data teams in data engineering, warehousing, or platform delivery, including hiring, coaching, performance management, and vendor oversight.
• Demonstrated experience developing data architecture, strategy, and engineering principles from both hands-on and leadership perspectives.
• Strong familiarity with enterprise data warehousing, including dimensional and semantic modeling, ETL, SQL performance tuning, and warehouse platforms such as SAP BW, Progress, Snowflake, or Synapse.
• Hands-on experience building and delivering Databricks solutions, including working knowledge of Delta Lake, Databricks Workflows, Genie spaces, and Unity Catalog controls.
• Strong command of SQL, Spark, Python, and modern ELT and orchestration tools, 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 involving extraction, cleansing, mapping, loading, and reconciliation.
• Excellent communication and stakeholder management across technology, business process, finance, and program teams, including 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 SAP S/4HANA context.

Responsibilities

• Oversee the Industrial Group data solutions team and help set direction for data architecture, data engineering, and solution delivery.
• Develop and maintain the target-state technical data architecture for ingestion, lakehouse modeling (bronze/silver/gold), 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 reuse.
• Own reliability and performance of current Industrial Group data warehouse and analytics platforms, including incident response, change deployment, business continuity, and sustainment.
• Lead migration of Industrial Group data solutions to Moog’s corporate Databricks lakehouse, partnering with the corporate Data Management team on architectural alignment.
• Partner with Data Governance to document existing data warehouse business logic, including multi-ERP harmonization, general ledger calculations, and finance KPIs, for evaluation and disposition during migration.
• Translate target-state architecture into an executable plan with milestones, decision gates, and retirement criteria, including validation before legacy assets are decommissioned.
• Manage ERP data migration teams executing data cleansing, mapping, and transformation across multiple SAP ECC and legacy ERP systems.
• Develop the data solutions team through talent and development plans, recruiting, training, and reskilling data engineers.
• Establish engineering standards for data quality, freshness, lineage, CI/CD, and documentation, ensuring stakeholder requirements and enterprise standards are met.
• Advise business and technology leaders on data best practices, translate business needs into actionable solutions, and promote collaboration and clear communication.

Benefits

• Bonus opportunities
• Matching 401(k)
• Employee Stock Purchase Plan at select locations
• Flexible Spending Accounts
• Health Savings Accounts
• Flexible paid time off
• Holidays
• Parental leave program
• Relocation assistance
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability coverage
• Employee Assistance Plan and other supplemental benefit coverages
• Tuition assistance
• Mentorship and coaching opportunities
• Leadership development and personal growth programs
• Employee Resource Groups

What This Job Offers

• Job Type: Full-time
• Career Level: Manager