• Build and maintain integrations with analytics, CRM, CDP, ads, reporting, and workflow tools • Design public APIs and systems that expand the Coframe ecosystem • Create setup systems that reduce time-to-launch for customers • Build debugging tools for events, identity, data sync, and implementation issues • Improve reliability, monitoring, and observability across integrations • Work directly with customers on complex technical integrations • Turn repeated implementation work into scalable product capabilities

• Serve as the primary technical contact in partner and enterprise conversations, going deep on DNSid architecture, integration patterns, and security model • Own integrations end-to-end: write production-grade integration code with partners, stand up reference implementations, and drive POCs from demo to deployment • Translate partner and customer requirements into clear, prioritized feedback for the engineering team; help shape the roadmap based on what you hear in the field • Develop and maintain technical enablement materials: integration guides, quick starts, FAQs, and architecture documentation for external developers • Own the technical win with partners: drive discovery, architecture alignment, POC scope, implementation follow-through, and the path from demo to deployment • Run technical workshops and deep-dive sessions with partner engineering teams • Collaborate with product, standards (IETF), and engineering to ensure partner-facing materials stay accurate as the spec and implementation evolve • Represent IDIL credibly in technical forums, standards discussions, and partner escalations

• Collaborate with clients to implement HRIS solutions • Develop and maintain Azure and Biztalk systems • Ensure seamless integration and functionality of systems

• Lead data services team operations by overseeing complex data solutions, ensuring quality and scalability of deliverables, and guiding teams toward efficient, data-driven outcomes aligned with business objectives. • Design, automate, and oversee complex data processes to improve efficiency, scalability, and effectiveness • Extract, transform, model, analyze, and validate data to ensure accuracy, completeness, and timeliness of deliverables • Review and provide feedback on data requests, reconciliations, testing, and solution design plans • Collaborate with engagement teams and stakeholders to develop action plans for complex data needs and confirm deliverable quality • Monitor operational metrics and proactively address performance issues, escalations, and resource gaps • Develop, maintain, and standardize team documentation, templates, methodologies, and best practices • Serve as a subject matter expert and thought leader, guiding teams toward effective, data-informed decisions • Mentor, coach, and educate team members and stakeholders on data tools, capabilities, and analytics techniques • Perform quality reviews and ensure accuracy and completeness of team deliverables • Manage team workload, prioritize assignments, and communicate status updates to stakeholders • Continuously evaluate and improve data tools, processes, and team capabilities • Perform due diligence on data sources and maintain strict data confidentiality • Stay current on emerging data trends, technologies, and tools to enhance team capabilities • Participate in strategic initiatives and projects outside of standard operations