SVP – Enterprise Data

🔥 16 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

👻 Ghost score 10%

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Planet Home Lending, LLC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💸 Finance

🏦 Banking

👥 B2C

💰 $475M Debt financing on 2025-01

Finance • Banking • B2C

Planet Home Lending, LLC is a consumer-focused mortgage lender that provides home-purchase and refinance loans, cash-out and renovation financing, VA, FHA, USDA, jumbo, construction, manufactured housing, and home equity products. The company emphasizes online account access and customer service, serving approximately 500,000 customers, and markets itself as an equal housing lender headquartered in Meriden, CT (NMLS ID#17022). Planet also engages in community and environmental initiatives and offers career opportunities for mortgage professionals.

📋 Description

• 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

• 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

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