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ESSENTIAL JOB FUNCTIONS: Enterprise Architecture Strategy and Governance • Define and evolve the target enterprise architecture vision and multiyear roadmap across business applications, data platforms, and analytics and AI capabilities, • Establish and lead formal architecture governance with authority over major technology investments, platform selections, integration approaches, data standards, and exceptions, • Develop enterprise architecture frameworks, principles, standards, and guidelines that drive consistency, reduce technical debt, and enable scalability, • Evaluate major technology decisions, documenting tradeoffs in cost, risk, speed, and maintainability to inform executive decisions, • Conduct architecture assessments to identify consolidation, modernization, and simplification opportunities that reduce complexity and improve efficiency, • Monitor industry trends in cloud, AI, advanced analytics, and modern integration patterns to identify strategic opportunities, • Define and maintain target state architecture for major business applications including ERP, PLM, MES, and adjacent operational systems, • Guide integration and interoperability across engineering, manufacturing, supply chain, quality, finance, and delivery, • Partner with functional leaders to translate operational requirements into architectural solutions, • Lead application portfolio rationalization to eliminate duplicates, redundant capabilities, and one-off solutions that add complexity, • Establish integration standards, patterns, and middleware strategies that reduce brittle point to point connections and improve reliability, • Lead architecture planning for major system implementations, upgrades, and replacements, ensuring alignment with enterprise standards, • Define the enterprise data strategy, treating data as a strategic asset with clear ownership, quality expectations, governance, and standards, • Lead data architecture design including data warehouses, data lakes, master data management, and data integration infrastructure, • Establish data governance frameworks for stewardship, quality metrics, data lineage, and access policies to ensure trusted, accessible data, • Define analytics platform architecture and strategy including BI tools, self-service analytics, advanced analytics, and AI model deployment environments, • Identify, prioritize, and architect AI and machine learning use cases that deliver measurable business value, • Set standards for data pipelines, ETL processes, analytics tools, and AI implementations that ensure scalability, consistency, and maintainability, • Ensure data and analytics capabilities enable faster operational decisions and actionable insights for business leaders, • Establish enterprise integration architecture standards for how systems exchange data, invoke services, and maintain data consistency, • Standardize integration patterns such as APIs, event driven architectures, messaging middleware, and batch exchanges to improve reliability, • Reduce brittle point to point integrations by implementing scalable integration platforms that centralize connectivity and simplify dependencies, • Oversee integration architecture for cross system business processes, ensuring end to end data flow integrity, • Define data exchange standards including formats, protocols, error handling, and monitoring requirements, • Design enterprise architecture with security and regulatory compliance as core principles, ensuring architectural decisions support obligations, • Partner with cybersecurity leadership to align architecture with ITAR constraints, NIST SP 800 171 controls, and CMMC requirements, • Embed security by design into standards, platform selections, and integration patterns to protect CUI and FCI, • Ensure architectural decisions support necessary security controls including access management, encryption, network segmentation, audit logging, and incident detection, • Maintain architectural documentation for audits, including system boundaries, data flow diagrams, integration architectures, and technology inventories, • Provide strategic leadership for the enterprise architecture function, fostering innovation, collaboration, and continuous improvement, • Lead, mentor, and develop enterprise, solution, and data architects and other technical professionals, providing guidance and career development, • Build strong relationships with executive leadership, business units, IT leaders, and vendors to drive architectural alignment, • Ensure clear communication between IT and business units on architectural initiatives, technology strategies, and organizational impacts, • Champion enterprise architecture awareness and best practices, educating stakeholders on the value of architectural discipline and standardization, • Manage architecture budgets and resources to ensure cost effective use of people, tools, and consulting services, • Serve as a subject matter expert and trusted advisor to executive leadership on technology strategy, architectural tradeoffs, and business transformation SKILLS • EXPERIENCE • EDUCATION: Required Qualifications • Bachelor's degree in computer science, information technology, information systems, engineering, or related field, or equivalent experience, • At least twelve years of enterprise IT experience, including five or more years in senior architecture leadership roles on major programs with business applications, data platforms, and analytics, • Proven experience leading enterprise architecture in manufacturing or complex operational environments, including core systems such as ERP, PLM, or MES, • Extensive experience building, governing, and evolving enterprise data architectures, data governance, and analytics platforms that enable data driven decision making, • Demonstrated expertise in architectural governance, including standards, architecture review boards, platform decisions, and managing exceptions, • Hands on experience driving technology standardization across multiple teams, vendors, and business units, with sound judgment on when exceptions are warranted, • Strong technical knowledge across business applications, data platforms, integration technologies, cloud computing, analytics tools, and modern software development practices, • Proven ability to partner with business leaders to understand operational needs and translate them into architectures that deliver measurable value, • Experience in regulated industries with understanding of compliance requirements, security architecture, and governance; aerospace and defense strongly preferred, • Exceptional executive communication skills with the ability to explain complex architectural concepts, cost and risk tradeoffs, and strategic recommendations to non-technical leaders, • Strong collaboration and influencing skills with a track record of building consensus, driving change, and leading without direct authority, • Strategic thinking that balances long term architectural vision with pragmatic incremental delivery and short-term business pressures, • Strong analytical and problem-solving skills with the ability to assess complex landscapes, identify simplification opportunities, and create actionable transformation roadmaps, • Experience managing architecture teams, developing talent, and building high performing technical organizations, • Master's degree in computer science, information technology, business administration, or related field, • Professional architecture certifications such as TOGAF, Zachman, or cloud architecture certifications (AWS, Azure, Google Cloud), • Experience in aerospace, defense, or government contracting with knowledge of Department of Defense cybersecurity requirements, FAR, DFARS, and ITAR, • Deep understanding of CMMC and NIST SP 800 171 frameworks as they apply to enterprise architecture and information system design, • Experience leading digital transformation or modernization programs involving legacy replacement and cloud migration, • Knowledge of AI and machine learning architectures, model deployment platforms, and responsible AI governance, • Familiarity with modern software development practices including DevOps, agile, CI or CD, and API first design, • Experience with manufacturing systems and standards including AS9100, MRP, APS, or QMS, • Background in organizational change management, stakeholder engagement, and communication strategies that drive adoption of architectural standards, • Active involvement in professional architecture associations or industry communities

Role Overview**Mercor is partnering with a leading AI lab to engage experienced cybersecurity and low-level programming experts for a short-term, high-impact project. OWASP, CVEs, or similar frameworks) - Understanding of core cybersecurity concepts, including web security and common attack vectors