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Open nowPosted 50 days ago

Senior Director, Enterprise Data Management

Versapay28 open roles

Pay
$180,000 – $220,000 a year
Where
United States (Remote)
Work mode
Remote
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Your applicationOpen nowSenior Director, Enterprise Data ManagementVersapay · United States (Remote)

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Versapay postings stay open a median of 54 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 50 days ago

Versapay median: 54 days open

The posting

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

  • 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.
  • Operationalize data governance as a first-class concern — automated classification, RBAC enforcement, platform SLAs, 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.
  • 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.
  • 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.
  • Lead and grow the Data Platform Team, building a high-performing function with clear ownership across data strategy, engineering, consumption, AI compute; in tight partnership with the Embedded Analytics Team, Risk and Compliance.
  • Act as the cross-functional bridge between Product, Engineering, Commercial, Finance, and Legal/Compliance- ensuring data serves every function from a shared, trusted foundation.
  • Build a culture of data discipline — standardizing how information is captured and governed so insight is consistent, discoverable, and trusted across the organization.
  • Represent the data function at the executive level, partnering closely with the CTO and contributing to the broader AI and product roadmap.

What You Bring

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