---
title: 'Senior Director, Enterprise Data Management at Versapay'
canonical: 'https://feeny.ai/job/senior-director-enterprise-data-management-versapay-canada-1zv8whekervn'
type: 'job'
last_seen: '2026-09-17'
---

# Senior Director, Enterprise Data Management at Versapay

- **Company:** Versapay
- **Location:** Canada
- **Compensation:** $190k–$230k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-17
- **Apply:** https://jobs.lever.co/versapay/e03960ac-4d29-41fe-aecc-b5096fca612b

## Job description

## 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, 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.

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, 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

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 semantic/canonical modelling.
- Strong evidence of application of AI and ML infrastructure — including how data governance, observability, and semantic standards underpin safe, scalable AI deployment.
- Proven ability to build and lead high-performing technical teams and partner effectively across Product, Engineering, and Commercial functions.
- Experience governing data for commercial use: external data products, consent frameworks, lineage standards, and privacy compliance.
- Exceptional communication skills — able to translate complex data and architectural concepts for executive audiences and build alignment across functions.
- Experience with managing the cost of data warehouses and cost forecasting.
- Experience in hiring and managing talent across the entire data food chain – from BI and Analytics to Data Engineering to CI/CD of data platforms.

## Preferred

- Experience with agentic AI architecture, MCP, or LLM serving layers and the data requirements that underpin them.
- Familiarity with AR/AP automation, payments, or working capital platforms and the data models they generate.
- Track record of commercializing data as a product — packaging data assets, building external APIs, or creating data-sharing programs with partners.
- Experience managing data maturity transformations with structured roadmaps, measurable milestones, and executive visibility.
- Hands-on experience with AWS-native data infrastructure (Glue, SageMaker, Bedrock) alongside Snowflake and modern BI tooling.
- Background in a PE-backed, high-growth SaaS environment.

## About Versapay

## Company Overview
- **One-liner**: Versapay provides a fully unified accounts receivable automation platform that simplifies the invoice-to-cash process for B2B businesses.
- **Entity Type**: Private (funding stage not disclosed in provided sources)
- **Headquarters**: Remote-first; team distributed across Canada, the United States, and Israel (no physical offices; HQ not explicitly listed)
- **Founded**: Not publicly available from provided sources
- **Founders**: Not publicly available from provided sources

## Core Business
- **Primary industry**: Accounts receivable automation, B2B payments, financial technology
- **Target customers**: B2B finance teams, accounts receivable departments, enterprises, and SMBs
- **Mission or purpose**: “To remove financial friction so that business ecosystems transact smarter, faster, and with greater resiliency.”

## Products & Services
- **Accounts Receivable Automation Platform**: A unified SaaS platform covering invoicing, collections, cash application, B2B payments, and reporting/reconciliation. Includes AI-powered automation, a self-service customer portal, and deep ERP integration.
- **B2B Payment Services**: Accept ACH, credit cards, and wire payments with flexible payment rules, fraud monitoring, and early payment discounts.
- **Collections Management**: Automated dunning, delinquency prediction, and prioritization of high-risk accounts.
- **Cash Application & Reconciliation**: Automatic matching of payments to invoices regardless of remittance method, with straight-through posting to ERP.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Processes over **$170B** in payments volume annually; serves **10,000+** customers and facilitates transactions for **5M+** companies; handles **110M+** transactions per year.
- **Notable Investors/Partners**: Mastercard, US Bank, and other payment processors and ERP vendors (specific investors not detailed in provided sources).
- **Growth Signals**: Fully remote, global hiring (e.g., Customer Success Manager, Principal .NET Software Engineer); expanding platform capabilities with AI; strong partner ecosystem.

## Competitive Advantages
- **Unified end-to-end platform** covering the entire invoice-to-cash cycle, reducing the need for multiple vendors.
- **AI-driven automation** for collections, cash application, and forecasting.
- **Deep ERP integration** enabling straight-through processing and real-time posting.
- **Large B2B payment network** (5M+ companies transacting) creating network effects.
- **Remote-first culture** with no return-to-office mandates, attracting top global talent.

## Strategic Focus
- Continue to remove friction in accounts receivable through AI, automation, and integrated payments.
- Expand partnerships with major payment networks and ERP providers.
- Scale the platform to serve larger enterprises while maintaining ease of use for SMBs.
- Drive cash flow confidence and financial resiliency for customers.

## Why Work Here
- **Remote-first environment** with no office mandates; employees work from anywhere in Canada, the US, or Israel.
- **Flexible PTO and sick time** to support work-life balance.
- **Competitive compensation** with annual performance bonuses for all employees.
- **Benefits**: RRSP (Canada) and 401k (US) contributions, robust health benefits.
- **Culture**: Virtual and in-person events (town halls, team meetups, offsites, retreats); tools like Slack, Teams, and Bonusly for collaboration and peer recognition.
- **Growth opportunities**: Roles across engineering, product, customer success, and more; emphasis on divergent thinking and async workflows.

## Sources
1. [Versapay Careers Page](https://www.versapay.com/careers)
2. [Versapay Product Page](https://www.versapay.com/)
3. [Versapay Job Listings (Lever)](https://jobs.lever.co/versapay)
4. [Versapay About Us](https://www.versapay.com/about-us)
5. [Versapay Leadership](https://www.versapay.com/leadership)

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