Oversee the seamless integration of Element451 with university partner systems such as Student Information Systems and Learning Management Systems.
Work with the Customer Success and Analysts to design and implement templates for integrating partners’ Student Information Systems (SIS), Learning Management Systems (LMS), and other platforms.
Act as the platform product owner for integration products, managing the roadmap and ensuring alignment with business needs.
Partner with engineering teams to plan, code, review/QA, and troubleshoot API integrations.
Build data pipelines using ETL tools and ensure efficient data transfer to the Snowflake data warehouse.
Develop integrations with third-party platforms like CommonApp, WebAdmit, and Zapier.
Design and implement data mappings, schemas, and quality assurance tests to ensure data accuracy and reliability.
Optimize workflows using tools like Dagster for pipeline orchestration.
Serve as a subject matter expert (SME) for the Partnerships, Sales, and Customer Success teams, providing technical expertise on integrations.
Interface and communicate with clients during implementations to provide support and troubleshoot technical challenges.
Lead and maintain integration support throughout the customer lifecycle for managed API partners.
Maintain thorough documentation of integrations and APIs for internal and external audiences.
Lead the development and execution of a machine learning and AI strategy.
Assist with security policies and compliance requirements, including SOC Type 2.
Advocate for the integrations team during sprint planning to ensure alignment with organizational goals.
Requirements
Demonstrated ability to lead client-facing projects with strong communication, leadership, and project management skills.
Demonstrated track record of success meeting project timelines and integrating with SIS, LMS, etc.
Proficiency in API endpoints, data integration, and technical troubleshooting.
Expertise with:
Zapier
Snowflake
Dagster
Python
dbt
Extensive experience in data analytics, ETL processes, and data governance best practices.