Data Product Manager
Listed on 2026-02-28
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager -
Business
Data Analyst, Business Systems/ Tech Analyst
Classification: Exempt (This is a full-time, exempt position. Days and hours are determined by business needs)
Reports To: VP, Financial Planning & Analysis
Company: Right Restoration Partners
Incentives/Commission: 20% Annual (Performance Based)
Right Restoration Partners is a dynamic and rapidly expanding national platform focused on partnering with and supporting the growth of exceptional emergency restoration services businesses that deliver high-quality solutions across water and fire damage mitigation, mold remediation, rebuild services, and pack-out and storage. Right Restoration supports its partners by attracting and developing skilled talent, investing in cutting-edge technology and systems that empower industry-leading and efficient customer service, and accelerating and diversifying lead generation.
Backed by Percheron Capital, a private equity firm with over $3 billion in assets focused on partnering with exceptional teams to build market-leading essential services businesses, Right Restoration Partners is poised to shape the future of restoration services.
We are seeking a Data Product Manager who will bridge business strategy, data science, and technology to build, maintain, and scale data-driven products like analytics tools, pipelines, or ML models. The Data Product Manager role will be based in our Atlanta, GA Corporate HQ (1320 Ellsworth Industrial Blvd NW #2200) and will travel approximately 10-30% of the time to acquired business locations to conduct assessments, gather insights, and provide hands-on integration support and serve as a key liaison between newly acquired teams and corporate leadership.
The position offers a base salary between $110,000 and $125,000 with a 20% target bonus and full benefits.
The Data Product Manager is a Translator and a Visionary. You will speak data tech specs as fluently as you do business value creation. You will use this acumen to anticipate analytical needs that will make a difference to the business and then bring solutions to these needs to life.
We have a simple business and a management team that is hungry for quality insights from our data. Furthermore, we have an emergent next generation Palantir data platform in progress and need your help to finish bringing this to life. Your work will be highly valued, and the results quickly become tangible.
However, this role is not easy – the data is messy, and the standard for insight quality is high. Sometimes the solutions will lie in changes to the data, sometimes in changes to business processes, sometimes both – and we’ll need your dynamism and agility to determine the optimal path.
Key ResponsibilitiesProduct Management
- Understand what makes our business win, and collaborate with sales, finance, and operations stakeholders to design new data products (dashboards, standard reports, data marts) that support M&A integration and ongoing performance management
- Understand what could be, and leverage AI capabilities in our platform to bring these to light
- Understand what slows us down, and ensure automation is at the heart of that which you build
- Understand what can go wrong, and establish monitoring, data quality checks, and documentation standards (including data dictionaries, lineage diagrams, and runbooks) for all pipelines and models
Stakeholder Management
- Work with leadership and stakeholders to develop change management plans that ensure smooth transitions for employees, customers, and partners.
- Facilitate training sessions and workshops to onboard teams for new systems and processes.
Data Management
- Engage newly acquired businesses to inventory existing business systems (e.g., job management, CRM, ERP, payroll, financials) and document data structures, and map this data and reports into the standardized reporting environment
- Facilitate data ingestion, developing mapping and ontologies consistent with enterprise architecture
- Ensure data workflows function appropriately and troubleshoot accordingly
- Use Pandas and related frameworks to perform data cleaning, validation, and transformation for complex one-off or onboarding scenarios.
- Implement and enforce version control best practices…
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