Senior Director, Enterprise Data Management

Versapay

2d • $180,000 - $220,000

About The Position

Versapay is seeking a strategic, builder-minded Senior Director of Enterprise Data Management to own and execute the company's enterprise data strategy. This role is crucial at a pivotal moment in Versapay's evolution, aiming to drive the convergence of transactional, operational, behavioral, relational, and intent data layers into a unified operational backbone. This foundation will unlock 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 the product and commercial roadmap, with clear mandate and executive alignment.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Define and drive Versapay’s enterprise data strategy, aligning the data roadmap to product, AI, and commercial objectives.
• Lead the architectural convergence of 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.
• Operationalize data governance as a first-class concern, including automated classification, RBAC enforcement, platform SLAs, and certified data objects.
• Formalize the Enterprise Data Catalogue for self-service discovery.
• Deploy and maintain an executive data health dashboard.
• 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 for secure data sharing.
• Drive data infrastructure readiness to support Versapay’s AI roadmap, including ML pipelines and LLM serving layers.
• Establish formal schema contracts and semantic modelling standards for agent deployment.
• Partner with Product and Engineering to enable agentic capabilities.
• Govern data and AI exposure, ensuring sensitive data stays within approved platforms and external data products meet standards.
• Evolve the function from ad hoc data requests to a product-oriented organization with a governed, discoverable asset registry.
• Operationalize external data products for commercialization.
• Partner with the commercial team on data product strategy.
• Expand self-service data access for internal teams.
• Lead and grow the Data Platform Team, building a high-performing function.
• Act as the cross-functional bridge between Product, Engineering, Commercial, Finance, and Legal/Compliance.
• Build a culture of data discipline.
• Represent the data function at the executive level, partnering closely with the CTO.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed