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Open nowPosted 25 hours ago

SVP Enterprise Data

Planet16 open roles

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Your applicationOpen nowSVP Enterprise DataPlanet

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Planet postings stay open a median of 21 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 25 hours ago

Planet median: 21 days open

The posting

Job Summary The SVP Enterprise Data owns Planet’s enterprise data strategy and is accountable for making data a reliable, governed, and monetizable business asset. This is a build role, not a maintenance role. The SVP will consolidate data capabilities that today sit in separate teams across technology and the business, stand up a single enterprise data organization, and establish Planet’s data platform as the trusted source of truth for origination, servicing, and enterprise reporting.

Essential Duties and Responsibilities

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 and stewardship accountability in a federated model, set enterprise data standards, and own the multi-year data investment roadmap through executive and board approval. Own the enterprise data platform strategy, architecture, and roadmap, built on Snowflake as the enterprise cloud data warehouse, including ingestion, transformation, and orchestration. Direct delivery of a 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 so the business operates from one set of numbers, shift the organization from reactive report production toward self-service analytics, and deliver executive insight on origination volume, pull-through, margin, servicing performance, delinquency, and operational efficiency. Provide technical oversite of a federated reporting program to ensure standardized KPI, metrics and tools Establish and lead the enterprise data governance program, including data quality, metadata, lineage, master data, and lifecycle management. Ensure data practices comply with mortgage industry regulation and consumer privacy requirements. Partner with Legal, Compliance, Risk, Information Security, and Internal Audit to meet investor, agency, and regulator reporting obligations, and own data controls related to SOC, investor, and regulatory examinations Build, lead, and develop a multi-disciplinary data organization spanning engineering, analytics, governance, and architecture. Define the organizational structure, talent strategy, and role definitions required to execute the data strategy. Recruit senior talent, establish operating discipline and delivery cadence, develop leaders within the organization, and own key data and analytics vendor relationships including 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 the executive leadership team on data, analytics, and AI priorities, lead enterprise governance forums, and build consensus across business and technology leaders with competing priorities. Define Planet’s artificial intelligence and machine learning strategy for data-driven use cases in partnership with technology and business leadership. Prepare enterprise data assets for AI consumption, including semantic layers, knowledge structures, and retrieval patterns

Position Requirements Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or a related field required Advanced degree preferred

Experience

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.

Functional/Technical Skills

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.

Environmental/Physical Demands Work is typically performed in a standard office environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sustain predictable work attendance, communicate with others, frequently required to stand, walk, sit, and use arms, hands and fingers to reach, handle or touch. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Pursuant to the Americans with Disabilities Act, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of all activities, duties or responsibilities that are required of an employee. The Company reserves the right to amend or modify this document at any time and without notice.

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