Job Description
The Role
The Service Parts Information & Cataloging team is responsible for creating, managing, and delivering world class part content to various onlinedigital solutions.
The Part Content & Analytics Lead plays a vital role in increasing the volume of part photography, developing AI and Power App solutions, and interpreting the data. Being able to analyze and tell an effective story about the data is extremely important.You will work cross functionally between the Service Parts Information & Cataloging, GM IT, National ACDelco & Retail Account, and Service Engineering and other DSWO teams to drive forward part content and AI solutions.
What You27ll Do
Develop & Sustain Power BI dashboards
Develop and sustain AI agents
Identify newer technologies team should be using and cross train others
Develop and automate manual processes
Collaborate cross-functionally to source and prioritize data effectively
Utilize tools such as Partsmart (PIM), Erapa, ARC, Databricks, Knime, Power BI, Access databases, and SQL
Develop & maintain Photography Strategy (physical and AI rendering)
Work cross functionally with PDC & Warehouse leadership and UAW members
Understanding of OE and Aftermarket content including ACES & PIES
Collaborate and manage competing priorities with the Product Information Management (PIM) team, National Accounts, eCommerce, GM Parts Connect and other teams.
Be able to lead and drive conversations
Drive solutions to fill data gaps and perform data audits
Ability to interpret data and tell a story about the data to leadership
Produce visuals that help tell the story
Develop and implement new processes, provide feedback, and work with others to ensure continuous improvement
Your Skills & Abilities(Required Qualifications)
Bachelor27s Degree
Proficiency in Microsoft Access, Excel, SQL, Power BI, Python
Building AI agents
Excellent communication skills to interact effectively with both internal and external teams
Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality
Effective negotiation skills
Demonstrated ability to work independently and in a team environment
Ability to create data visuals and interpret the findings
Attention to detail and data accuracy in a fast-paced environment
Proven track record in partnering with external and internal stakeholders to deliver mutually beneficial outcomes
Experience with analyzing and reporting of data
What Can Give You a Competitive Advantage(Preferred Qualifications)
Master's Degree preferred
Experience with data management and familiarity with Product Information Management (PIM) systems such as PartSmart
Experience with Service Engineering Content (ERAPA & ARC)
Highly encouraged to have knowledge of Auto Care, PIES (Product Information Exchange Standard) and ACES (Aftermarket Catalog Exchange Standard) standards
Familiarity with automotive retail accounts such as Amazon, Auto Zone, Advanced Auto, O27Reilly, and NAPA
Familiarity with eCommerce & GM EPC/GM Parts Connect
Experience online OE & Aftermarket content
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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
