Exp. required : 8+ Year’s
Must Have Technical/Functional Skills
• 8+Years of experience and deep understanding of Aerospace & Defense business data domains, including Product, Enterprise, Production, and In-Service Asset data.
• 5+ Years of experience leading or governing enterprise data migration initiatives across SAP, PLM, MES, Maximo, Salesforce, GTS, and DMS platforms.
• 8+ years of prior experience in Aerospace & Defense, Manufacturing, Engineering, Supply Chain, or Aftermarket transformation programs preferred.
• Working knowledge of export-control and regulated data requirements including ITAR, EAR, ECCN, USML, Dual-Use, Military classification, U.S.-origin content, CGP, and deemed export considerations.
• Strong understanding of Material, BOM, Supplier, Customer, Finance, Asset, and Technical Document data structures.
• Proven experience in data discovery, segmentation, classification, metadata tagging, lineage management, and audit traceability.
• Ability to define migration validation, reconciliation, compliance testing, business sign-off, and cutover readiness criteria.
• Experience embedding compliance-by-design controls into migration programs, including classification preservation, BOM propagation, controlled attachments, and restricted access requirements.
• Understanding of controlled service delivery models, including nationality-based access, secure environments, offshore restrictions, synthetic test data, and audit evidence requirements.
• Knowledge of AI data enablement, knowledge fabric, digital thread, and AI governance controls for regulated data environments.
Roles & Responsibilities
• Lead data discovery, classification, and governance across Product, Enterprise, Production, and In-Service Asset domains.
• Define and implement regulated data management frameworks covering:
o Export-Controlled Data (ITAR, EAR, ECCN, USML, Dual-Use, Military)
o Business-Critical Data
o Archive and Retention Data
• Lead business data migration governance for Aerospace & Defense transformation programs spanning SAP, PLM, MES, Maximo, Salesforce, GTS, and Document Management platforms.
• Partner with Export Control, Security, Legal, Business Data Owners, and Technology Teams to identify controlled data and embed compliance requirements into migration, transformation, and data management processes.
• Review and Enhance controls for:
o Classification management
o BOM and product structure propagation
o U.S.-origin content governance
o Role-, classification-, and nationality-based access
o Controlled technical documents and attachments
o Supplier, Customer, Finance and Technical Document data
• Develop, Review and Enhance business validation, reconciliation, auditability, and sign-off frameworks to ensure preservation of:
o Classification metadata
o Data lineage and traceability
o Document relationships and version history
o Audit trails and compliance evidence
• Collaborate with migration tool providers and implementation teams to ensure migration solutions support classification preservation, regulatory compliance, traceability, and audit reporting.
• Define testing strategies covering business continuity, export-control compliance, access controls, synthetic test data, compliance simulations, and audit-readiness.
• Establish AI-ready data foundations through
o structured taxonomies
o metadata tagging
o lineage management
o classification governance
o cross-system data alignment
• Define AI governance and safety controls to prevent unauthorized use of export-controlled or regulated data in AI, GenAI, and Agentic AI solutions.
• Develop reusable methodologies, governance frameworks, accelerators, and best practices for regulated data migration and transformation programs within the A&D Domain Practice.
Generic Managerial Skills, If any
• Strong stakeholder management and communication skills
• Customer presentation skills
• Ability to drive cross-functional collaboration (Business + IT + Compliance)
• Analytical problem-solving with attention to regulatory detail
• Ownership mindset with ability to lead data track in enterprise transformation initiatives
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