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Applaudo is seeking a part-time Business Architect who bridges finance and engineering to translate a complex subscription billing model into data requirements for the integration team. You will guide the transformation from a legacy accounting system to Zuora, interpreting Zuora's data model and billing rules to keep the technical team moving forward during a planned handover.
This role requires proactive learning, executive-level English, and the ability to facilitate decisions with finance
You are a Business Architect who bridges finance and engineering, translating a complex subscription billing model into data requirements that the integration team can act on. You are comfortable navigating ambiguity across business and technical domains. You'll guide stakeholders through the transformation from a legacy accounting system to Zuora, interpreting Zuora's data model and billing logic well enough to unblock the technical team, while also maintaining stakeholder communication and technical continuity during a planned handover period. This role does not carry project management, Zuora platform administration, or change management authority, as those responsibilities remain within the team.
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.