Senior Product Analyst-Catalog Data/AI

The Sr Product Analyst leads key aspects of lifecycle management for a product/service or group of products/services (from ideation to launch, and through to retirement). This role will specifically support the Product Owner responsible for building an AI-driven data pipeline for ingesting, normalizing, and enriching automotive aftermarket catalog content. The ideal candidate brings strong retail sales insight and automotive data standards expertise to guide user behavior analysis, identify high-value product opportunities, and measure the success of product initiatives.

Note on scope: this role does not own or directly edit catalog content (e.g., individual part records, digital assets, or cross-references). It leads the AI pipeline and process work that ingests, normalizes, and enriches that content at scale, working in partnership with the teams that maintain catalog data directly.

This is an on-site position located in Springfield, MO. Remote work is not an option for this position.

Responsibilities and Duties:

Monitor all aspects of a product life cycle, including long- and short-term development and marketing. Perform analyses to stay abreast of trends in the automotive aftermarket and ensure the product's competitive position.

Define and deliver products and services that meet customer needs by selecting the best possible approaches available for the AI catalog data pipeline.

Deliver defined features, functionality, or outcomes from a designated part of the pipeline development/engineering program, selecting the best available approach within established systems.

Research data from digital product/service performance, customer behavior, and automotive aftermarket trends to identify opportunities for product and pipeline improvement.

Explore issues or needs, establishing potential causes and barriers, as well as related data or catalog quality issues.

Execute the development plan for the AI data pipeline, managing project schedules, identifying risks, and communicating to project stakeholders.

Collect, analyze, and interpret large datasets related to product usage, user behavior, and aftermarket catalog data; identify trends and patterns to uncover user needs, data gaps, and opportunities for pipeline improvement.

Edit documents in line with organizational style guidelines and prepare catalog and pipeline information for publication.

Work within an established project management plan to achieve specific goals.

Review the backlog of work for a small project and reprioritize the work and deployment of project resources to reduce costs and increase the value of the work delivered to the business.

Provide advice, training, and assistance to clients to resolve complex queries, ensuring the product/service capabilities and AI pipeline functionality are well understood and implemented in the context of the business.

Demonstrate the most valuable features/attributes of the AI catalog data pipeline; lead a team of demo specialists to bring the highest value to customers during demonstrations.

Develop own capabilities through assessment and development planning activities, formal and informal training and coaching, and relevant external professional accreditation. Develop and maintain an understanding of relevant technology (including AI/ML data processing), external regulation, and industry best practices (such as ACES/PIES standards) through ongoing education, conferences, and specialist media.

Skills:

Required:

Works at an advanced level to manage and develop all aspects of a product or service to ensure it achieves its full impact and value in the market. (Advanced — works independently)

Works at an advanced level to oversee and manage all stages of a product's lifecycle, from ideation to retirement, ensuring efficient processes, timely delivery, and adherence to quality standards. (Advanced — works independently)

Works at an advanced level to plan, organize, prioritize, and oversee activities to efficiently meet objectives. (Advanced — works independently)

Works at an advanced level to communicate and articulate potential resolutions or strategies in a clear, compelling, and tailored manner to address specific automotive catalog challenges or meet organizational needs. (Advanced — works independently)

Works at an advanced level to analyze and research automotive aftermarket conditions and facts to develop a full and comprehensive understanding of the market, for the benefit of the brand, product, or service. (Advanced — works independently)

Works at an advanced level to determine and analyze trends from collected data to assist in compiling reports that support AI pipeline and data quality decision-making. (Advanced — works independently)

Works at an advanced level to identify potential stakeholders, analyze their expectations, and develop strategies for managing stakeholders and their expectations. (Advanced — works independently)

Works at an advanced level to review and evaluate recommendations and requirements, and to develop appropriate plans or deliver actions required. (Advanced — works independently)

Works at an intermediate level to identify, sequence, and resource project schedules for timely completion. (Intermediate — works with guidance)

Works at an intermediate level to plan, identify, monitor, analyze, and prioritize risks (threats and opportunities), create response plans, and manage the risk if it occurs. (Intermediate — works with guidance)

Works at an intermediate level to identify, verify, and manage changes to the scope of the project or program, utilizing the most appropriate approach. (Intermediate — works with guidance)

Works at an intermediate level to identify appropriate measures for assessing solution performance and pipeline limitations, validate with key stakeholders, and collect appropriate performance measures to recommend specific actions to increase solution value. (Intermediate — works with guidance)

Works at an intermediate level to identify, track, and enable the achievement of the planned benefits and intended outcomes of a program and associated projects. (Intermediate — works with guidance)

Works at an advanced level to develop an effective change strategy based on gap analyses and enterprise readiness assessment results, including transition states and release plans. (Advanced — works independently)

Education: Bachelor's Degree or Equivalent Level

Experience: Previous experience with automotive aftermarket catalog content (e.g., ACES/PIES mapping) and automotive retail sales; experienced practitioner able to handle most situations and advise others (3-6 years).

Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months)

O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.

Total Compensation Package:

Competitive Wages & Paid Time Off

Stock Purchase Plan & 401k with Employer Contributions Starting Day One

Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)

Team Member Health/Wellbeing Programs

Tuition Educational Assistance Programs

Opportunities for Career Growth

O’Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.

Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: [email protected] or call (800) 471-7431 option , and provide your requested accommodation, and position details.