Sr. Enterprise Applications Analyst

TaylorMade Golf Company•Carlsbad, CA

1d•Onsite

About The Position

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.

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.
4-year college degree in Computer Science, Information Systems, Engineering, or related technical field.
Minimum 7 years of progressive IT experience.

Nice To Haves

Hands-on experience with Industrial IoT, automation technologies, and system integrations
Experience with BI/analytics platforms and data-driven decision making

Responsibilities

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.
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.
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.
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.
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.