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 financeteams and their business systems, customers, and payment activity into a single intelligent ecosystem, Versapay transformsmoney matters into a data-driven advantage. With 10,000 customers and 5M+ companies transacting, Versapay facilitates110M+ 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 transparent mandate andexecutive 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 commercialobjectives.
- 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, andaccessibility.
- 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 dataproducts 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 intodefensible, 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, 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 isconsistent, 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 Required
- 10+ years of experience in data leadership, with at least 5+ years at the Director level owning enterprise data strategy, architecture, or governance.
- Demonstrated track record of modernizing and unifying complex, multi-source data environments at scale — ideally in a SaaS, fintech, payments context.
- Deep expertise in modern data stack: cloud data warehouses (Snowflake preferred), lakehouse architectures, ETL frameworks, and sem

📌 Senior Director, Enterprise Data Management (Canada)
🏢 Versapay
📍 Canada