• Analyze, develop, and enhance analytical and operational data solutions/platforms. • Lead projects using standard project management tools and methodologies. • Translate business requirements into well-designed and validated data solutions. • Provide thorough and accurate documentation. • Provide production support for ETL/ELT/data solutions. • Identify and manage change effectively in a changing environment. • Mentor junior team members and provide expertise in analysis and development of Enterprise data solutions.

• Analyze, develop, and enhance analytical and operational data solutions/platforms to meet complex business needs • Lead metric and/or technical design and documentation efforts in collaboration with operational and IT teams • Provide thorough and accurate documentation for all work, adhering to current industry standards • Provide production support for ETL/ELT/data solutions • Identify and manage change effectively and efficiently in a changing environment • Mentor junior team members

• Architect Superhuman Activation: Lead the technical discovery and 'blueprint' phase for new customers, mapping their existing business systems to our AI framework • System Mapping & Integration: Design and implement the data flows between 1mind agents and client tech stacks (CRMs, MAPs, APIs, and proprietary databases) • Experiential Configuration: Fine-tune Superhuman experiential elements such as visualizations, logic gates, and response triggers • Customer Consultation: Serve as the technical face of the services team, guiding stakeholders through the activation journey and translating complex technical hurdles into clear, actionable outcomes • Quality Assurance & Optimization: Conduct rigorous testing of agent behaviors pre & post-deployment to ensure peak performance and reliability • Feedback Loop: Partner with Product and Engineering teams to advocate for new features and platform enhancements based on real-world activation challenges

• Translate business requirements into technical strategies • Architect solutions on to MMA data platforms • Design enterprise data architecture and solutions across MMA’s cloud and hybrid data platforms • Lead the Design and Architecture of enterprise solutions across MMA’s Agency management software, EHB and CRM domains • Develop and maintain solution blueprints for core platforms, including Agency management systems, GCP, Azure Databricks, Workday, ServiceNow, Microsoft Fabric and Azure SQL • Define and enforce standards for medallion architecture for MMA’s data Lakehouse • Establish secure and scalable integration patterns and data flows between AMS, HRIS, CRM, Azure Cloud, and development systems • Collaborate with the Data Governance Council to align solution architecture • Drive adoption of metadata management and data lineage practices within Databricks Unity Catalog