Jobs at Guild Mortgage

The Senior Data Analyst gathers business and analytics requirements, evaluates internal and external data sources, and ensures data quality, governance, lineage, and validation. The role maintains data dictionaries and master data, defines KPIs, reconciles dashboards, documents data transformations, identifies automation opportunities, and delivers actionable insights. It also supports privacy controls, disaster recovery requirements, platform cost optimization, stakeholder communications, and mentoring of less experienced team members.

Leads enterprise data engineering initiatives by designing and optimizing data pipelines, data lakes, warehouses, and analytics infrastructure. Uses Snowflake, Informatica, SQL, and related technologies to integrate diverse data sources, improve data quality, secure PII, and support analytics and data science teams. Establishes governance, monitoring, scalability, performance, and cost-efficiency practices while mentoring teammates and partnering with stakeholders on complex technical solutions.

Manage enterprise BI and analytics platforms, data governance, access controls, and self-service reporting. Translate business requirements into governed dashboards, KPIs, metrics, and actionable insights using Power BI, Tableau, Azure, SQL, and multiple database technologies. Ensure data quality, platform scalability, business continuity, cost efficiency, and secure information delivery. Partner with business and technology stakeholders, lead process improvements, resolve complex issues, and mentor data professionals.

Manages end-to-end regulatory and compliance projects across mortgage origination, servicing, and corporate functions. Develops project plans, dashboards, milestones, and implementation roadmaps; coordinates cross-functional stakeholders; tracks risks, issues, dependencies, decisions, and regulatory deadlines; supports audits and examinations; manages change communications, training, documentation, governance reporting, KPIs, compliance manual updates, and executive presentations. Also drives retrospectives, records retention, workflow improvements, and transition of initiatives to ongoing control owners.

Serve as a subject-matter expert and escalation point for loss mitigation, managing loan workout pipelines, underwriting modification and workout options per investor and regulatory guidelines, training and mentoring specialists, resolving complex escalations, maintaining investor/system records, and supporting audits and process improvements.

Lead design and implementation of secure, scalable, resilient cloud platform solutions; operationalize enterprise architecture through hands-on technical leadership, IaC and CI/CD automation, security and governance, platform modernization, mentoring, and cross-functional collaboration to improve reliability and operational maturity.

Supervise loss mitigation team and day-to-day operations to ensure timely, compliant loan workout decisions. Monitor metrics, conduct quality audits, manage inventory and general ledger, deliver training, handle escalations, interact with clients/homeowners, and ensure remediation of audit findings.

Manage development and delivery of enterprise reporting, analytics, dashboards, and data delivery solutions. Define product vision, roadmap, features, and user stories; prioritize and maintain backlog; run sprint planning, reviews, and retros; accept deliverables; remove blockers; partner with stakeholders, vendors, and EPMO to ensure accurate, compliant, and timely reporting products that deliver business value.

Prepare and submit complete, compliant loan closing packages for Conventional, FHA, VA, USDA, Bond, Jumbo and new-construction loans; verify title and construction documentation; reconcile final figures, issue closing funds, send collateral to warehouse bank, archive files, and act as lead subject-matter expert for closing operations.

Senior technical lead responsible for translating platform architecture into consistent engineering execution across Platform Engineering, DevOps, SRE, QA, security, and IAM. Provides hands-on implementation guidance, removes technical blockers, improves execution visibility, mentors engineers, and serves as Technical Delivery Lead for platform initiatives to ensure architectural continuity and reusable platform capabilities.

Provide system support and user administration for Retail Operations/Sales systems including loan origination software. Troubleshoot UI issues, handle escalation tickets, test defects, assist configuration, participate in UAT and post-production validation, create training materials, and support process improvements using automation and Lean concepts.

Lead enterprise data analysis and governance: elicit requirements, define KPIs, maintain logical data dictionary and data lineage, validate and curate data, design ETL/data integration needs, produce dashboards and actionable insights, drive automation/AI-first improvements and mentor junior team members.

Lead development and enforcement of enterprise data governance policies, frameworks, and tools. Collaborate with data stewards, IT, and business stakeholders to ensure data quality, lineage, metadata management, and regulatory compliance. Run governance committees, deliver training, assess data quality, recommend tools, and report metrics to senior management.

Designs, implements, and maintains DataOps infrastructure and tools to ensure secure, resilient, and performant data pipelines and cloud storage. Automates workflows, monitoring, disaster recovery, and migrations while collaborating with product, DevOps, and infrastructure teams to meet business needs and compliance.

Lead and manage network and systems teams to design, configure, secure, and maintain LAN/WAN, cloud, and telephony environments. Oversee firewalls, SASE/zero trust, monitoring, disaster recovery, audits (SSAE/SOX), large deployments, vendor troubleshooting, and user/network access management.

Design, develop, test, and maintain in-house IBM i applications using RPG, CL, Websmart and DB2. Collaborate with business partners and analysts to translate requirements, troubleshoot production issues, mentor junior staff, lead projects, and drive process improvements.

Lead Data QA for the Enterprise Data Warehouse: define QA strategy, design and execute source-to-target validations, CDC and ETL checks, data masking verification, build quality dashboards and automations, mentor QA analysts, manage defects and release readiness, and collaborate with Data Engineering, BI, Product, and stakeholders to ensure data is accurate, complete, and audit-ready.

Lead enterprise data governance by defining metadata, CDEs, data quality rules, and catalog/lineage. Partner with stewards, owners, IT and business stakeholders to monitor data quality, automate governance workflows, certify reports, and implement governance tooling (e.g., Collibra). Ensure PII handling, document processes, train users, and drive continuous improvement.

Lead the enterprise vulnerability management program: run and tune scanners, triage and prioritize findings using CVSS and threat intelligence, drive remediation with engineering and IT teams, manage exception/risk acceptance processes, produce executive reporting, and improve program maturity and KPIs.

Lead and manage Accounts Payable for Default Management, overseeing invoice processing in ICE, reconciling loan-level default ledgers (TBB2), driving automation, KPI monitoring, stakeholder collaboration, and team development to ensure compliant, timely payments and accurate reporting.