Senior Director, Enterprise Data Management

• 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 across architecture, semantics, governance, and accessibility
• Establish canonical hierarchies, enterprise ontologies, and shared metric catalogues
• Operationalize data governance through automated classification, RBAC enforcement, platform SLAs, and certified data objects
• Formalize the Enterprise Data Catalogue and maintain an executive data health dashboard
• Enforce data procurement review and own the Enterprise Data Asset Registry
• Drive data infrastructure readiness for ML pipelines, LLM serving layers, and agentic serving tiers
• Establish schema contracts and semantic modelling standards for safe agent deployment
• Partner with Product and Engineering on reverse data flow, predictive model productization, and real-time data serving
• Govern sensitive data and external data products for quality, lineage, privacy, and compliance
• Evolve data operations into a design-first, product-oriented organization with governed self-service access
• Operationalize external data products and partner with Commercial on data product strategy and recurring revenue
• Lead and grow the Data Platform Team in partnership with Embedded Analytics, Risk, and Compliance
• Bridge Product, Engineering, Commercial, Finance, and Legal/Compliance around a trusted data foundation
• Represent the data function at executive level, partnering with the CTO and contributing to the AI and product roadmap

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

Core Competencies

Demonstrates expertise in defining and executing enterprise data strategies, with a focus on data architecture, governance, and operationalization. Proven ability to lead high-performing teams and collaborate across functions to drive data maturity and productization in a SaaS or fintech environment.

Highest-signal resume keywords

• Enterprise Data Strategy
• Data Governance
• Cloud Data Warehouses
• AI and ML Infrastructure
• Data Architecture

Hard Skills

• Data Architecture
• Data Governance
• Semantic Modelling
• ETL Frameworks
• Data Maturity Transformation
• Data Product Commercialization
• Data Lineage Standards
• Cost Forecasting
• Data Infrastructure Management
• Agentic AI Architecture

Soft Skills

• Exceptional Communication Skills
• Team Leadership
• Cross-Functional Collaboration

Industry Keywords

• SaaS
• Fintech
• Payments
• Data Products
• Compliance

Tools & Technologies

• Snowflake
• AWS Glue
• AWS SageMaker
• AWS Bedrock
• BI Tooling