Sr. Enterprise Applications Analyst

The Sr. Enterprise Analyst, RDE & Manufacturing, serves as a strategic IT partner to both RD&E and manufacturing stakeholders, independently leading the analysis, design, and implementation of complex business solutions across product development and manufacturing operations. The ideal candidate brings deep knowledge of RD&E and manufacturing processes, strong stakeholder management skills, and a proven track record delivering cross-functional technology initiatives and thrive in fast-paced manufacturing environments.

Essential Functions and Key Responsibilities:

Communication and Collaboration

• Independently gathers requirements from RD&E and manufacturing stakeholders, translating technical concepts into clear business language for non-technical audiences.

• Creates functional specifications, design documents, and user guides for development teams and end users.

• Collaborates with cross-functional IT teams to design integrated solutions aligned with enterprise architecture and security standards.

• Develops training materials and coordinates sessions for RD&E and manufacturing user communities.

• Facilitates communication between business stakeholders and development teams to keep project objectives and technical requirements aligned.

Business Acumen

• Quantifies business impact of proposed solutions including cost savings, efficiency gains, and ROI.

• Demonstrates expertise in RD&E and manufacturing, evaluating impacts of system changes on processes.

• Independently performs solution analysis considering short-term implementation and long-term scalability.

• Conducts impact assessments, identifies risks, and maps requirements to existing platforms, recommending targeted technology investments.

Technical Expertise

• Develops and tests interfaces between RD&E and manufacturing systems, troubleshooting integration issues and implementing robust solutions.

• Independently configures system modules, performs root cause analysis on complex issues, and manages user access controls.

• Leverages AI tools to accelerate development, analysis, and configuration tasks; validates AI-generated outputs for accuracy, compliance, and business value.

• Identifies use cases where AI and automation could add value across RD&E and manufacturing operations.

• Leads user acceptance testing, develops test scenarios, and verifies solutions meet business needs.

• Participates in design, testing, implementation, and analysis across the full software development lifecycle.

Project Management & Organizational Skills

• Independently manages small to medium-sized projects with clear timelines, dependencies, and resource requirements.

• Creates plans for stakeholder engagement, communication, change management, and training coordination.

• Manages project and support tasks, escalating issues and resolving conflicts for positive results.

• Manages vendor relationships and monitors SLAs for RD&E and manufacturing applications.

Innovation

• Develops creative solutions to non-routine RD&E and manufacturing challenges, identifying inefficiencies and proposing process improvements.

• Identifies opportunities where emerging technologies (AI, IoT, analytics) could add business value.

• Builds AI-enabled capabilities and automation solutions across RD&E and manufacturing operations.

• Pursues relevant certifications and stays current with industry best practices and emerging technologies.

• Measures improvement results and documents lessons learned for organizational knowledge.

Knowledge and Skills Requirements:

• Proven business acumen in RD&E and manufacturing operations with measurable impact.

• Experience with Manufacturing Execution Systems (MES), Manufacturing Operations Management (MOM), and/or Product Lifecycle Management (PLM) systems.

• Excellent stakeholder management and communication skills, with ability to translate technical concepts for non-technical audiences.

• Comprehensive understanding of SDLC methodologies and project management practices.

• Proven ability to independently manage multiple projects and priorities simultaneously.

• Hands-on experience with Industrial IoT, automation technologies, and system integrations preferred.

• Experience with BI/analytics platforms and data-driven decision making preferred

• Proven ability to work in a team-oriented, collaborative environment.