Data Platform Lead
Listed on 2026-07-31
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IT/Tech
Data Engineering, Data Analyst, Data Warehousing
MMP Capital is seeking a Data Platform Lead to help build the company’s enterprise data platform from the ground up. This is a unique opportunity to create the data foundation, architecture, reporting layer, and analytics capabilities needed to support MMP’s next phase of growth across equipment finance, working capital, servicing, credit, operations, accounting, and capital markets.
This role is ideal for someone with strong experience in data engineering, data platforms, business intelligence, and analytics, with hands-on technical capabilities in SQL, Python, data pipelines, and modern data environments such as Databricks or similar platforms. The Data Platform Lead will help create reliable data infrastructure, improve reporting accuracy, support reconciliation and operational controls, and build the foundation for future automation, machine learning, scorecards, and generative AI capabilities.
This is a hands-on leadership role with full alignment from senior management to build something scalable and impactful from the ground up. The ideal candidate is comfortable working in a fast-moving environment, partnering directly with business leaders, translating messy operational data into trusted information, and helping move the company toward a more data-driven and AI-enabled operating model.
Key Responsibilities Data Platform, Architecture, and Integration
• Design, build, and manage MMP’s enterprise data platform, including data warehouse / data lake architecture, data models, pipelines, and reporting layer.
• Develop scalable data pipelines across key systems, including Salesforce, lease / loan management systems, servicing platforms, accounting systems, banking data, document/OCR tools, and third-party data sources.
• Create a reliable source of truth for originations, portfolio performance, funding, collections, payments, cash application, lender reporting, and management reporting.
• Support the integration of data from Lease / Loan Management Systems, including platforms such as Info Lease, LTi Aspire, IFS Lease Works, Abrigo, or similar servicing / portfolio management systems.
• Partner with Technology and external vendors on API integrations, data feeds, system enhancements, automation, and data quality controls.
Reporting, Analytics, and Business Intelligence
• Build and maintain executive dashboards, operating reports, portfolio analytics, scorecards, KPI reporting, and business performance reporting.
• Support reporting needs across Finance, Operations, Credit, Sales, Servicing, Collections, Capital Markets, and leadership.
• Develop reporting packages that improve visibility into originations, approvals, funding, syndication, booked assets, delinquencies, defaults, recoveries, portfolio performance, and trends.
• Create tools and reporting to support lender / investor reporting, borrowing base analysis, reconciliation, covenant monitoring, and operational decision-making.
• Translate business questions into clear reports, dashboards, analysis, and data-driven recommendations.
Data Governance, Quality, and Controls
• Establish data governance standards, data definitions, reconciliation controls, and reporting validation processes.
• Create and document standard definitions for key metrics, including originations, booked volume, net book value, receivables, past due balances, charge-offs, recoveries, revenue, exposure, and cash metrics.
• Identify and resolve data quality issues across systems, including duplicate records, missing fields, inconsistent naming conventions, incomplete integrations, and mismatched reporting outputs.
• Partner with Finance and Operations to strengthen reconciliation processes across bank activity, servicing data, general ledger, Salesforce, and portfolio systems.
• Develop exception reporting and monitoring to identify breaks, stale data, failed integrations, missing files, and reporting inconsistencies.
Operational and Strategic Support
• Support MMP’s technology transformation by helping move the business toward a more data-centric operating model.
• Partner with stakeholders to document business requirements, define reporting needs, and convert operational pain…
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