Associate Product Manager at GM, handling operational execution and product management. Collaborating across teams to maintain operational excellence and drive product initiatives in an agile environment.
Responsibilities
Execute day-to-day operations and data maintenance tasks within assigned process areas.
Create and distribute sales reports (daily, monthly, quarterly) through a mix of automated and manual processes.
Ensure data integrity across systems; perform data reconciliations and resolve discrepancies.
Maintain and update system tables and databases (e.g., geography structures, vehicle models, aggregation rules).
Use Microsoft Excel to reformat and load incoming data files into required system formats.
Develop and maintain reports and dashboards using Power BI.
Fulfill ad hoc reporting requests, including executive summaries and CSI (Customer Satisfaction Index) reports.
Conduct data audits and monitor data quality across sales reporting systems.
Manage reporting schedules, ensuring reports are accurate, approved, and delivered on time.
Adhere to GM’s data retention and security policies in managing report artifacts.
Document and update desk procedures and workflows; identify and propose process improvements.
Process user access requests and support end-user training for reporting systems and tools.
Support the creation of product vision and long-term plans aligned with business objectives.
Build and maintain a prioritized product backlog that reflects business needs and user feedback.
Write detailed, actionable feature requirements with clearly defined acceptance criteria.
Collaborate with development teams on sprint planning, backlog grooming, and reviews.
Coordinate user acceptance testing (UAT); develop test plans and validate that releases meet quality standards.
Partner with business stakeholders, IT, and operations teams to gather input and ensure alignment throughout the product lifecycle.
Integrate user feedback and performance metrics to drive product enhancements.
Define and monitor key performance indicators to evaluate product impact and success.
Identify and mitigate potential risks in the product development cycle.
Use analytics and data science techniques to analyze trends and guide product decisions.
Requirements
Bachelor’s degree in business, Marketing, IT, Data Science, or related area
3+ years in a fast-paced operational business environment
2+ years of experience as a product manager (or related roles)
Proficiency in data analytics
Ability to analyze and interpret complex data sets, identify trends, and provide actionable insights.
Excellent communication skills to convey complex ideas and requirements effectively to both technical and non-technical stakeholders.
Comfortable navigating ambiguity and adapting to changing priorities in a fast-paced environment.
A commitment to staying updated on industry trends, emerging technologies, and Agile best practices.
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