Product Manager, Reporting & Analytics

DriveCentric, Inc. is hiring a Product Manager to fully own the Reporting product line, from the new reporting experience and phased rollout through legacy migration, dashboards and report building, and a data trust and freshness foundation. This role also sets an AI-native direction for reporting built on Databricks and presents the product roadmap to executives.

Reporting Product Ownership

• Own the new reporting experience end-to-end, including phased rollout from early access to general availability.
• Manage cohort selection, define and apply a quality gate for when a phase is ready, and set launch sequencing.
• Determine what ships in each phase and defend the decision through product and customer impact.
• Own the customer-facing reporting roadmap used by CSM teams in the field.

Legacy Migration Strategy

• Lead dealer migration off roughly ten thousand ad hoc and bespoke reports in the old system.
• Develop and execute a real migration strategy, including programmatic conversion and dealer self-service migration tooling.
• Plan how bespoke enterprise reports built one at a time will be handled going forward, with an explicit goal to avoid building new bespoke reports.

Dashboards, Report Builder, and Self-Serve

• Own the dealer-facing analytics surface, including dashboards, drill-down, and scheduled delivery.
• Provide date range and attribution controls.
• Deliver a report builder that enables an operator to answer their own question without filing a ticket.
• Make packaging decisions, including what is included in the base product versus what is offered as a premium SKU.

Data Trust and Freshness

• Partner with the data platform and engineering teams on the dimensional model and ETL cadence.
• Define freshness SLAs and report permissioning requirements.
• Set the standard for what “correct and current” means for reporting and maintain that bar without building the underlying pipelines.

AI-Native Reporting Vision

• Define what DriveCentric reporting looks like with Databricks as the foundation.
• Sequence progress toward natural language exploration, agent-generated insight, and anomaly detection.

Visualization Craft

• Own the visual language of DriveCentric reporting, including which charts match the question being asked.
• Determine when a sparkline is more effective than a bar visualization.
• Design how to express period-over-period and store-to-store comparisons without relying on a spreadsheet.
• Define what funnel or cohort views look like for a dealership sales process and how drill-down carries context forward.
• Partner with design on a chart library and defaults.
• Ship visualization behaviors including color, density, and empty/loading states.

Customer and Feedback Loop for Reporting

• Serve as the product face of reporting for GMs, BDC managers, controllers, and dealer group executives.
• Support internal CSM and support teams who field dealer questions, including running a customer advisory group.
• Be the most trusted voice at the company on what dealers actually need from their data, with expectation to be in dealerships.

Requirements

• 3 or more years in product management, or a comparable path into product from analytics, data, implementation, or dealership operations where outcomes were owned and shipped.
• Automotive retail experience, including working at a dealership, dealer group, or a vendor serving them, with ability to discuss operational metrics such as closing ratio, gross, aged inventory, or BDC appointment set rate, and understanding differences between trusted and CRM numbers.
• Fluency with data products through work on or near reporting, dashboards, BI, or analytics; ability to read SQL, reason about a schema, distinguish data issues from UI issues, and pressure test engineering proposals.
• Migration and legacy instincts: experience moving customers off what they were comfortable with, recognizing migration as a product problem, and forming opinions on how to make the change worth it.
• AI shipping curiosity or history, including shipping AI-powered features or explaining how evaluation and output quality are approached, and what belongs in front of a dealer versus what stays internal.
• Clear writing, including specs engineers respect and launch notes that can be read by PMM and executives quickly (a writing sample will be requested).
• Operator energy, including moving fast, pushing back when needed, taking ownership without being asked, and treating the manager as a peer.

Technologies

• Claude, ChatGPT, Cursor
• Databricks, SQL
• Natural language exploration, agent-generated insight, anomaly detection
• ETL

Benefits

• Paid Time Off
• Nine (9) Paid Holidays
• 401(k) plus employer match
• Health Insurance
• Flexible Spending Account
• Health Savings Account
• Dental Insurance
• Vision Insurance
• Short/Long-Term Disability Insurance
• Employer-paid Life Insurance
• Additional Voluntary Life Insurance
• Accident Insurance
• Critical Care Insurance
• Hospital Indemnity Insurance
• Employee Assistance Program

Bonus Points

• Hands-on with Databricks, Snowflake, Looker, Power BI, Sigma, ThoughtSpot, or comparable embedded analytics platforms.
• Experience running an early access or beta program, including cohort selection familiarity.
• Owned a product line where support escalations were the primary feedback loop.
• Experience with dimensional modeling, ETL tradeoffs, or data quality programs.

How We Work

• AI-native by default, using tools such as Claude, ChatGPT, and Cursor for PM work every day, including research synthesis, spec writing, and prototyping.
• Customer-centric culture, with PMs spending time with product users, and for reporting, with dealership operators.
• Lean and dense operating model with a small team and AI augmentation across the work.
• Direct exposure to leadership, reporting to the Staff PM for Data, CDP and Analytics and working closely with CPBO, VP of Product, VP of Engineering, and reporting and data platform leads, with presentations to the executive team.