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Senior Director, Enterprise Data Management

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Versapay
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 190000 - 230000 USD Yearly USD 190000.00 230000.00 YEAR
Job Description & How to Apply Below

About Versapay

Versapay is the platform that rewires AR by removing barriers to collecting and reconciling B2B payments, providing end-to-end cash flow clarity, ensuring businesses can manage working capital on their terms. By closing the loop for finance teams and their business systems, customers, and payment activity into a single intelligent ecosystem, Versapay transforms money matters into a data-driven advantage. With 10,000 customers and 5M+ companies transacting, Versapay facilitates
110M+ transactions and processes $300B+ in payments volume annually.

About the Role

We are looking for a strategic, builder-minded Senior Director of Enterprise Data Management to own and execute Versapay’s enterprise data strategy at a pivotal moment in our evolution. This leader will drive the convergence of our transactional, operational, behavioral, relational and intent data layers into a unified operational backbone — the foundational unlock for AI- powered product features, semantic data models, externalized data products, and autonomous AR workflows.

This is a high-visibility, high-impact role directly tied to our product and commercial roadmap, with a clear mandate and executive alignment behind it.

What You’ll Do Data Strategy & Architecture
  • Define and drive Versapay’s enterprise data strategy, aligning the data roadmap to product, AI, and commercial objectives.
  • Lead the architectural convergence of our transactional, operational, and analytical data layers into a unified, bi-directional operational backbone.
  • Own a multi-year data maturity roadmap with clear milestones across architecture, semantics, governance, and accessibility.
  • Champion a business-first data modelling philosophy: canonical hierarchies, enterprise ontologies, and shared metric catalogues that allow humans and AI agents to interpret data consistently.
Data Governance & Quality
  • Operationalize data governance as a first-class concern — automated classification, RBAC enforcement, platformSLAs, and certified data objects.
  • Formalize the Enterprise Data Catalogue, replacing institutional knowledge with a searchable, self-service discovery layer.
  • Deploy and maintain an executive data health dashboard to provide ongoing visibility into the health and integrity of our data estate.
  • Enforce the data procurement gate, ensuring new tools and systems are reviewed and classified before entering the estate.
  • Build and own the Enterprise Data Asset Registry to enable secure, frictionless data sharing internally and with commercial partners.
AI Enablement & Agentic Readiness
  • Drive data infrastructure readiness to support Versapay’s AI roadmap — from ML pipelines and LLM serving layers
    to agentic serving tiers.
  • Establish formal schema contracts and semantic modelling standards that guarantee deterministic outputs for safe,
    scalable agent deployment.
  • Partner with Product and Engineering to enable agentic capabilities: reverse data flow, predictive model productization, and real-time data serving.
  • Govern data and AI exposure — ensuring sensitive data stays within approved platforms and all external data products meet strict quality, lineage, and privacy standards.
Data Accessibility & Commercialization
  • Evolve the function from ad hoc data requests to a design-first, product-oriented organization with a governed,discoverable asset registry.
  • Operationalize external data products for commercialization, delivering clear value to customers within consent
    and compliance frameworks.
  • Partner with the commercial team on data product strategy — turning Versapay’s proprietary network data into defensible, recurring revenue.
  • Expand self-service data access for internal teams while protecting compute capacity and governance standards.
Team Leadership
  • Lead and grow the Data Platform Team,…
Position Requirements
10+ Years work experience
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