Lead data architecture initiatives, define target-state architectures, governance, and standards for enterprise data solutions.
Responsibilities
Establish and govern architecture principles, reference models, reusable design patterns, decision records, and architecture guardrails across data acquisition, integration, storage, transformation, serving, sharing, and consumption
Define standards for conceptual, logical, physical, and semantic data models, including naming, approved business definitions, interoperability, and reuse across domains
Contribute to architecture governance forums and review, challenge, and approve solution designs, documenting architecture decisions, risks, dependencies, exceptions, and remediation actions
Ensure architecture standards are pragmatic, testable, version-controlled, clearly owned, and supported by implementation guidance for delivery teams
Ensure coherent integration of data architecture across business domains and technology platforms, with clear boundaries, interfaces, and system-of-record responsibilities
Lead product strategy and AI-driven innovation for Xplor’s B2B SaaS platform, building and monetizing data-as-a-service offerings and overseeing enterprise AI governance.
Responsibilities
Build a network of AI champions
Recruit and train champions in every function and business unit
Give champions playbooks, low‑code tools, office hours and a clear path from idea to approved production workflow
Recognize and share wins so adoption spreads across teams
Lead change management: training, communications and support
Requirements
Nice to have: time in product, strategy, consulting or venture role