DATA ARCHITECT

POSITION PURPOSE

The Data Architect is a critical founding role responsible for transforming Mocse's data from a fragmented resource into a strategic asset. This role will establish automated reporting capabilities, build data governance foundations, develop advanced analytics, and drive continuous experimentation and optimization. This is a high-impact, high-visibility position reporting to the Vice President of Performance and Risk and working closely with executive leadership to make Mocse a truly data-driven organization.

ESSENTIAL JOB FUNCTIONS

Data Access & Reporting

1. Automated Reporting & Analytics
   1. Design, develop, and automate reports that deliver critical information to operational groups and provide analytics and KPIs for leadership
   2. Reduce report turnaround times and enable self-service access to data
   3. Create and maintain dashboards for executives, department heads, and business users
   4. Establish refresh schedules and monitoring procedures for all reporting
   5. Migrate and optimize reports as systems and platforms evolve
2. Data Integration & Management
   1. Integrate disparate data sources across multiple database platforms (core banking, lending platform, digital platform, card systems)
   2. Create direct connections to source systems and build automated data pipelines
   3. Design standardized data models for member, account, and transaction entities
   4. Determine appropriate software tools based on assignment goals
   5. Document all transformations, data lineage, and business rules

Data Governance & Quality

1. Data Documentation & Governance
   1. Catalog and document data sources, definitions, and business rules across all systems
   2. Assess and monitor data quality; identify and resolve data issues
   3. Support the Data Governance Council and implement governance policies
   4. Develop and maintain data classification schema and access control principles
   5. Ensure compliance with NCUA, FFIEC, CCPA, GLBA, and Right to Financial Privacy Act requirements
   6. Draft and maintain documentation of procedures for generating reports and accessing data

Advanced Analytics & Insights

1. Strategic Analysis & Predictive Analytics
   1. Research and analyze data trends to identify areas of opportunity and inform strategic decision-making
   2. Develop predictive models for member churn, loan default risk, fraud detection, and lifetime value
   3. Create member segmentation and personalization analytics for targeted marketing
   4. Build operational intelligence including anomaly detection, process optimization, and forecasting
   5. Perform demographic and geographic analysis to contribute to operations and marketing planning
2. Risk Management & Fraud Analytics
   1. Develop real-time fraud monitoring dashboards and transaction anomaly detection
   2. Create member risk segmentation and geographic risk analysis
   3. Support compliance reporting and audit requirements
   4. Monitor data security and privacy controls
3. Member Experience Analytics
   1. Build 360-degree member views combining all product relationships
   2. Develop member journey analytics across channels
   3. Create churn prediction and early warning indicators
   4. Analyze product affinity and identify cross-sell opportunities
   5. Track member satisfaction, NPS, and experience metrics
4. Operational Efficiency Analytics
   1. Measure process cycle times (loan approval, account opening, etc.)
   2. Analyze channel utilization and cost per transaction
   3. Track employee productivity metrics and branch performance
   4. Monitor system performance and data quality dashboards

Stakeholder Collaboration & Communication

1. Business Partnership & Requirements Gathering
   1. Work directly with stakeholders to identify analytical needs
   2. Translate business problems into data solutions
   3. Regularly update stakeholders on progress and recommend improvements
   4. Synthesize, visualize, and communicate complex information to diverse audiences
   5. Assist teams with targeting and campaign analytics

Continuous Improvement & Innovation

1. Platform Optimization & Experimentation
   1. Continuously optimize analytics platform performance and cost efficiency
   2. Experiment with new analytical techniques, tools, and methodologies
   3. Expand data integration and real-time capabilities as business needs evolve
   4. Develop APIs for data access by applications
   5. Stay current on BI tools, analytics best practices, and industry trends

Professional Development & Collaboration

1. 1. Enhance job performance by applying up-to-date professional and technical knowledge gained through training, publications, and professional relationships
   2. Participate in committee, community, and group projects as assigned
   3. Mentor others and build data literacy across the organization
   4. Contribute to attaining Credit Union objectives by accomplishing related results as assigned.