$ cat jobs/director-data-enterprise-architecture-transformation-valiantys-6bf0ac774bf3.json
Director, Data & Enterprise Architecture Transformation
About Valiantys Here at Valiantys , we are one of the world’s largest Atlassian partners, helping organizations work better through scalable, people-centered solutions. As an Atlassian Platinum Solution Partner with a global footprint, we support customers across industries as they adopt ITSM, Agile at Scale, and modern work management practices. Our teams work at the intersection of strategy and delivery, partnering closely with customers to translate complex business challenges into clear, actionable solutions built on best practices and leading platforms. Join Valiantys and be part of something extraordinary! Job summary Valiantys is looking for a Director, Data & Enterprise Architecture Transformation to drive sales and growth across a portfolio of Valiantys ' strategic and enterprise accounts. They will act as a trusted advisor to CIOs, CDOs, CTOs, and VPs of Data & Architecture -- translating their business goals into multi-year transformation roadmaps spanning enterprise data strategy, data platform modernization, data governance, and enterprise architecture. They will own new logo acquisition and existing account expansion, facilitate executive alignment and value realization, and lead pursuit and delivery consultants to win and execute high-impact engagements. What you’ll be working on Own executive relationships across a portfolio of strategic enterprise accounts; serve as the single point of accountability for client outcomes, satisfaction, and growth. Co-develop and execute account strategies that expand Valiantys ' footprint across data strategy, data platforms (Snowflake, Databricks), data governance, and enterprise architecture. Lead solutioning for complex pursuits -- partnering internally to scope data modernization, data mesh/fabric, MDM, and enterprise architecture engagements. Shape and communicate target architectures spanning business, application, data, and technology domains -- including cloud data platforms, analytics, AI/ML foundations, and
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