• Help clients maximize value from their marketing data. • Own client delivery end-to-end for assigned accounts — from data modeling through final reporting. • Design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. • Manage data transformations in dbt and work with complex, multi-source data architectures. • Utilize AI tools to accelerate workflows. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.

• Help clients maximize value from their marketing data. • Own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. • Design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. • Manage data transformations in dbt and work with complex, multi-source data architectures. • Leverage AI tools (e.g. Codex, Claude) to accelerate workflows. • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. • Use Git for version control and collaboration. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.

• Lead the Enterprise Data Governance function by defining and implementing governance frameworks, policies, standards, and operating models across the organization • Establish and maintain data ownership and stewardship structures to ensure accountability for critical data assets across business functions • Form, facilitate, and support Enterprise Data Governance Councils and working groups to align priorities, standards, issue resolution, and governance adoption • Partner with business and technology stakeholders to embed governance practices into operational and strategic initiatives • Promote enterprise-wide adoption of governance principles and foster a culture of accountability and data-driven decision-making • Develop and implement enterprise data quality management practices, including monitoring, measurement, remediation, and continuous improvement processes • Establish governance processes for data issue identification, prioritization, escalation, and remediation • Define and track critical data quality metrics and governance KPIs to measure program effectiveness and business value • Partner with business and technology teams to address root causes of data quality issues and improve data reliability across critical domains • Lead the implementation and governance of metadata management capabilities, including data catalog, business glossary, and data lineage • Manage enterprise business glossary and critical data elements to ensure consistent definitions and common business understanding across the organization • Drive lineage and traceability across critical business processes and reporting environments to improve transparency, trust, and audit readiness • Partner with data owners and stewards to improve metadata coverage, quality, and adoption across the enterprise • Establish standards and processes for metadata management and catalog governance • Partner with analytics and reporting teams to enable governed self-service analytics, standardized reporting, and trusted decision-making • Support the development and adoption of common KPIs, business definitions, and reporting standards to reduce reporting inconsistencies • Collaborate with business intelligence, analytics, and technology teams to improve accessibility and usability of trusted enterprise data assets • Promote data literacy, stewardship engagement, and governance awareness through training, communications, and change management activities • Prepare and deliver governance program updates, scorecards, and executive presentations summarizing progress, risks, opportunities, and measurable outcomes • Monitor governance program maturity and identify opportunities to improve adoption, effectiveness, and business value realization • Ensure governance initiatives remain aligned with enterprise priorities and strategic objectives.

• Independently review and interpret company policies to make decisions on matters of regulatory compliance, investor guidance, and customer impact in regard to loan boarding and servicing transfers • Independently work with stakeholders including the Executive, Product, Data and Design teams to support their boarding data needs to ensure Cornerstone’s ability to perform loan servicing • Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes • Manage incoming loan transfers and origination processes including process documentation (i.e. checklists, transfer instructions, etc.) • Responsible for exercising discretion in mapping, coding, and formatting data system files and customer information for loan boarding processes • Develop loan boarding applications for data integrity and timing purposes • Oversee third party vendors integral to loan-boarding processes • Perform project management role • Perform other job-duty-related issues as assigned