Product Data Management Change Analyst

Job Summary NetApp•Wichita, KS

13h•Onsite

About The Position

NetApp is seeking a Product Data Change Analyst to join their team and play a pivotal role in governing and enhancing product data management and lifecycle processes. This position focuses on ensuring that product modifications are implemented efficiently, accurately, and in alignment with business goals while improving workflow efficiency, enabling data-driven decision-making, and supporting the scalability of system configurations. The company is committed to fostering an inclusive environment where diverse perspectives are valued, and they encourage candidates from all backgrounds to apply. This role offers significant growth opportunities and aligns with their core values of ownership, growth mindset, customer-centricity, belonging, and high performance.

Requirements

Bachelor’s degree in Engineering, Information Systems, Supply Chain, or a related field (or equivalent experience).
3+ years of experience in Oracle Cloud Fusion SCM/PLM with configuration experience is desirable.
Proficiency in workflow configuration, data visualization for KPI reporting, and/or automation tools.
Strong analytical, problem-solving, and organizational skills.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
A growth mindset and a commitment to continuous learning and improvement.

Nice To Haves

Experience with AI-driven tools and capabilities is a plus.

Responsibilities

Manage and optimize Product Lifecycle Management (PLM) workflows, including Change Orders, Change Requests, and Deviations, ensuring efficient processes and accurate documentation.
Support the governance of product data integrity, standardization, and compliance with industry regulations and company policies.
Configure and maintain product management systems, enabling scalable and reliable workflows while identifying automation opportunities.
Collaborate with cross-functional teams (Engineering, Manufacturing, Quality, Supply Chain, IT) to align processes and ensure smooth implementation of changes.
Design and maintain dashboards, KPIs, and reports to provide actionable insights and operational visibility.
Investigate and resolve system errors, process bottlenecks, and data inconsistencies, implementing corrective and preventive actions.
Analyze the impact of product changes on manufacturing, supply chain, and customer experience, supporting data-driven decision-making.
Explore and support AI-driven capabilities such as summarization, anomaly detection, and workflow recommendations.