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Partner with enterprise customers to design, build, and deploy production-grade AI applications using the Cogentiq platform. Develop integrations, connectors, APIs, and cloud-native backend services; ensure security, scalability, and reliability. Troubleshoot deployments, optimize performance, run technical workshops, and feed deployment learnings back into platform capabilities alongside AI, platform, and product teams.

The Business Analyst acts as a liaison between business teams and technical teams, analyzing data to provide actionable insights and drive performance improvement initiatives.

Lead go-to-market and revenue for the Cogentiq Invoice-to-Cash product: drive new business, manage full sales lifecycle, design commercial models, collaborate cross-functionally, and secure enterprise deals while supporting onboarding and growth.

Lead Architect will design and deliver large-scale, cloud-native data platforms on Azure and Snowflake, build ETL/ELT pipelines with ADF and Databricks, optimize Spark and Snowflake performance, integrate diverse data sources, implement governance and CI/CD, and enable analytics and ML/AI use cases for enterprise clients.