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.
Education, Work Experience, and Professional Certifications:
- 4-year college degree in Computer Science, Information Systems, Engineering, or related technical field.
- Minimum 7 years of progressive IT experience.
Work Environment / Physical Requirements:
- Normal office conditions with extensive computer and phone usage.
- Ability to work extended hours as necessary.
- Able to work efficiently and accurately in an atmosphere of frequent interruption.
- Light physical effort equal to frequent lifting or moving of lightweight materials.
- Frequent travel may be required.
How to Apply
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