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Capital Solutions Manager (Data OS, Insight OS)

Owns client portfolios for Data OS and Insight OS platforms, translates structured finance needs into engineering specs, ensures data accuracy, and supervises offshore teams. Requires 3-6 years in private credit/asset-backed lending, client management, SQL/Python, and AI tooling comfort.

140k – 160kAustin, TXNew York, NYSalt Lake City, UTSolutions ArchitectureHybrid3+ YOE

About the role

Responsibilities

  • Own client portfolios end-to-end across Data OS and Insight OS — managing onboarding, success, and growth.
  • Translate customer structured finance needs into engineering specs, write requirements, review outputs, and validate dashboards/data pipelines.
  • Lead data quality assessments on loan tapes and deliverables, identifying anomalies and gaps.
  • Supervise offshore implementation resources, set priorities, and ensure delivery standards.
  • Leverage AI-powered workflows for data quality checks, metric design, and schema mapping.
  • Contribute to product priorities, onboarding playbooks, sector templates, and process documentation.

Requirements

  • 3–6 years in private credit, asset-backed lending, or structured finance with hands-on work with loan tapes, servicer reports, borrowing base certificates, or compliance packages.
  • Demonstrated client management experience owning relationships and resolving issues.
  • Strong analytical skills: expert Excel; comfort with SQL, Python, data pipelines, BI tools (Metabase, Tableau).
  • Experience writing technical specifications, field mappings, data dictionaries, or acceptance criteria.
  • Comfort with AI/LLM tooling, prompt engineering, or AI copilot tools.
  • Team supervision experience with junior analysts or offshore teams.
  • Ability to operate independently in ambiguous environments.

Nice-to-Haves

  • Experience across multiple asset classes (consumer, auto, fund finance, CRE).

Compensation

$140,000 - $160,000 dependent on skills, experience, and qualifications.

Skills

SQLPythonExcelTableauMetabaseAILLMsData PipelinesPrompt EngineeringBusiness Intelligence

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