SVP – Enterprise Data

Planet Home Lending, LLC

. Define and lead Planet’s enterprise data strategy and operating model .

Posted 11/3/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and leading enterprise data strategies, establishing data governance frameworks, and building scalable data architectures. Proven ability to translate data initiatives into measurable business impacts while ensuring compliance with mortgage industry regulations.

Highest-signal resume keywords

Enterprise Data StrategyData Governance FrameworksCloud Data WarehousingMortgage Industry ExperienceAdvanced Analytics and AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingData Quality ManagementELT PatternsSemantic Layer DevelopmentPerformance ManagementKPI ReportingData LineageBusiness Case DevelopmentRegulatory Compliance

Soft Skills

Exceptional Communication SkillsInfluencing ExecutivesLeadership DevelopmentTeam BuildingCross-Functional Collaboration

Tools & Technologies

SnowflakeDbtCI/CD for DataOrchestration ToolingData Analytics Platforms

Industry Keywords

Mortgage Industry RegulationLoan LifecycleInvestor ReportingConsumer PrivacyData Stewardship

Tech Stack

Tools & technologies

CloudSnowflake

About the role

Key responsibilities & impact

Define and lead Planet’s enterprise data strategy and operating model
Consolidate fragmented data and reporting functions into a single accountable data organization
Establish decision rights, stewardship accountability, enterprise data standards, and the multi-year data investment roadmap
Own the enterprise data platform strategy, architecture, and roadmap built on Snowflake or comparable cloud data warehousing
Direct delivery of scalable, layered architecture supporting operational reporting, advanced analytics, and AI workloads
Establish engineering standards for pipeline development, version control, testing, deployment, and observability
Retire redundant and legacy data infrastructure and ensure platform reliability, performance, and cost efficiency against defined SLAs
Establish a governed semantic layer and certified metric definitions
Shift the organization toward self-service analytics and deliver executive insight on origination, pull-through, margin, servicing, delinquency, and operational efficiency
Provide technical oversight of a federated reporting program
Establish and lead enterprise data governance covering data quality, metadata, lineage, master data, and lifecycle management
Ensure compliance with mortgage industry regulation and consumer privacy requirements
Partner with Legal, Compliance, Risk, Information Security, and Internal Audit on reporting obligations and examinations
Build, lead, and develop a multidisciplinary organization spanning engineering, analytics, governance, and architecture
Define organizational structure, talent strategy, and role definitions; recruit senior talent and develop leaders
Own key data and analytics vendor relationships, contract strategy, and performance management
Translate data strategy into measurable business impact and ROI, including revenue capture, margin improvement, loss avoidance, and operational efficiency
Define and report KPIs demonstrating return on Planet’s data investment
Advise executive leadership on data, analytics, and AI priorities; lead governance forums and build consensus across business and technology leaders
Define Planet’s artificial intelligence and machine learning strategy
Prepare enterprise data assets for AI consumption, including semantic layers, knowledge structures, and retrieval patterns

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or a related field required
Advanced degree preferred
Minimum fifteen (15) years of progressive experience in data, analytics, and technology leadership
Minimum seven (7) years leading a data or analytics organization at the Director level or above, including leadership of other leaders
Direct mortgage industry experience required, spanning origination and/or servicing, including working knowledge of the loan lifecycle, investor and agency reporting, and how mortgage data behaves in practice
Proven track record building an enterprise data platform and organization from a fragmented or immature starting point
Demonstrated success consolidating distributed data and reporting teams into a single operating model
Experience establishing data governance in a regulated environment, with exposure to regulatory examination and audit
Experience enabling analytics and artificial intelligence through enterprise data capabilities in production, not limited to pilots
Experience operating as a member of an executive leadership team and presenting to C-suite and board audiences
Deep knowledge of mortgage processes, systems, and regulation, including loan origination systems, servicing platforms, secondary marketing, and investor delivery
Strong command of modern data architecture, including cloud data warehousing, medallion or layered architectures, ELT patterns, and data modeling
Working fluency with the modern data stack, including Snowflake or comparable cloud platforms, dbt, orchestration tooling, and CI/CD for data
Deep expertise in data governance frameworks, data quality management, metadata, and lineage
Knowledge of privacy and data protection regulation as applied to consumer financial data
Strong financial acumen, including the ability to build a business case, manage a capital and operating budget, and defend investment to a CFO
Exceptional communication skills, with the ability to move between a technical design review and an executive briefing without losing the audience
Proven ability to influence peers and executives who do not report to this role