• 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

• Own day-to-day administration, configuration, and optimization of Salesforce CRM • Translate business requirements into scalable Salesforce solutions (objects, fields, flows, validation rules, automation) • Build and test enhancements in sandbox environments and manage releases to production • Design and improve GTM workflows (lead routing, pipeline stages, forecasting logic, approvals) • Ensure data integrity, governance, and system scalability as the business grows • Partner with RevOps, Sales, and Marketing to continuously improve system usability and adoption • Identify gaps in current GTM systems and proactively implement improvements • Support tooling and system integrations across the GTM tech stack • Partner with stakeholders to standardize and scale processes across Sales and Revenue teams • Partner with Finance and GTM leadership to deliver insights that inform decision-making

• Own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. • Lead structured evaluation of new data sources from scratch — assessing schema, coverage, freshness, legal constraints, and fit against H1's product needs before any engineering work begins. • Own field mapping from source to H1's bronze/silver/gold layers, producing data dictionaries, entity definitions, and structural guidance for downstream teams. • Partner with engineering and Data Lake to define ingestion requirements, entity resolution rules, and refresh cadences for new sources. • Gather requirements from client-facing teams and translate them into integration specifications; serve as the authoritative voice on what a new source can and cannot deliver before product commitments are made. • Shepherd each source end-to-end: scoping → QA → entity matching → product launch, including product QA and communicating source capabilities and limitations to product and enablement partners. • Work with the Insights team to develop new taxonomies and QA mechanisms for novel data types. • Define acceptance criteria and lead QA validation including field-level fill rates, count comparisons, and cycle-over-cycle anomaly detection. • Investigate and resolve data quality issues post-integration, coordinating with DART and engineering as needed. • Hand off to the maintaining team with complete mapping documentation; you own onboarding, not ongoing maintenance. • Produce and maintain documentation other people actually use — across scoping assessments, field mapping specs, and post-mortems.