Part Content & Analytics Lead

About the role

The Service Parts Information & Cataloging team is responsible for creating, managing, and delivering world-class part content to various online digital 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.

Responsibilities

• 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
• Understand 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
• Able 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

Requirements

• Bachelor’s 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

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)
• 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, O'Reilly, and NAPAF
• Familiarity with eCommerce & GM EPC/GM Parts Connect
• Experience online OE & Aftermarket content
• Experience with GM IT and GM Parts Connect

Skills & Abilities

• Bachelor’s 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

Benefits

General Motors offers a comprehensive benefits package that includes:

• Health insurance
• Retirement savings plans
• Flexible spending accounts
• Employee assistance programs
• Wellness programs
• Professional development opportunities

Pay

Compensation is competitive and commensurate with experience.

Schedule

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}.