Product Director leading Booxi's enterprise retail commerce platform and product organization. Shaping roadmap, discovery, customer journey and product operating practices.
About the role
- Senior Director leading enterprise data strategy for Versapay’s B2B payments platform. Unifying data architecture, governance, AI readiness, and commercial data products.
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 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)
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