• Lead and/or participate in requirements gathering and analysis sessions • Design and build relational databases • Develop strategies for data acquisitions, archive recovery, and implementation of databases • Work in a data warehouse environment • Translate business needs into data architecture solutions • Define, design, and build dimensional databases • Develop data warehousing blueprints

• Design and implement scalable, performant data models to deliver rapid insights into drivers of drug prices and cost-savings opportunities. • Develop and optimize processes to improve the correctness and usability of 3rd party data. • Implement data quality principles to raise the bar for reliability of data shared internally and externally. • Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance. • Apply AI best practices to document data engineering processes, data models. • Be a role model and mentor to junior team members by providing technical guidance and support.

• As the Director of the Data Architecture team, you will directly engage with customers with the goal of migrating customer data from a source system to Salesforce CRM • Participate in customer workshops to discuss data migration processes and gather requirements • Create of data migration plans, including timelines and milestones, to ensure successful project completion • Create field mappings, maintain user stories and Jira tickets, develop migration scripts, execute migrations to test and production environments, and troubleshoot/resolve issues • Perform detailed reviews of customer data, verifying data integrity and identifying possible errors • Participate in multiple engagements simultaneously, ensuring deadlines and quality standards are met • Seek efficiencies and standardization in data migration processes • Manage complex migration projects from beginning to end • Create a positive customer experience by building strong customer relationships • Participate in regular check-in meetings with customers and project teams to provide status updates and address roadblocks • Provide clear and detailed documentation of deployment steps, migration processes, test load results, and recommended testing areas • Collaborate closely with Neocol project teams to ensure overall solutions include data migration considerations

• Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations) • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions • Lead and take ownership of assigned technical projects in a fast-paced environment • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure