SVP – Enterprise Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and spearhead Planet's enterprise data strategy and operational framework.

• Integrate disparate data and reporting functions into a cohesive, accountable data organization.

• Establish decision-making authority, stewardship responsibility, enterprise data standards, and the multi-year data investment roadmap.

• Oversee the enterprise data platform strategy, architecture, and roadmap utilizing Snowflake or a similar cloud data warehousing solution.

• Direct the implementation of a scalable, layered architecture that supports operational reporting, advanced analytics, and AI workloads.

• Set engineering standards for pipeline development, version control, testing, deployment, and observability.

• Phase out redundant and legacy data infrastructure while ensuring platform reliability, performance, and cost efficiency in accordance with defined SLAs.

• Create a governed semantic layer and establish certified metric definitions.

• Transition the organization towards self-service analytics and provide executive insights on origination, pull-through, margin, servicing, delinquency, and operational efficiency.

• Offer technical oversight for a federated reporting program.

• Establish and lead enterprise data governance, focusing on data quality, metadata, lineage, master data, and lifecycle management.

• Ensure adherence to mortgage industry regulations and consumer privacy standards.

• Collaborate with Legal, Compliance, Risk, Information Security, and Internal Audit on reporting obligations and examinations.

• Build, lead, and nurture a multidisciplinary organization that spans engineering, analytics, governance, and architecture.

• Define organizational structure, talent strategy, and role specifications; recruit senior talent and cultivate leadership.

• Manage key data and analytics vendor relationships, contract strategy, and performance oversight.

• Translate data strategy into tangible business impact and ROI, including revenue generation, margin enhancement, loss prevention, and operational efficiency.

• Define and report KPIs to demonstrate the return on Planet’s data investments.

• Advise executive leadership on data, analytics, and AI priorities; lead governance forums and cultivate consensus among business and technology leaders.

• Formulate Planet’s artificial intelligence and machine learning strategy.

• Prepare enterprise data assets for AI usage, including semantic layers, knowledge structures, and retrieval methods.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or a related discipline is required.

• An advanced degree is preferred.

• A minimum of fifteen (15) years of progressive experience in data, analytics, and technology leadership is required.

• At least seven (7) years leading a data or analytics organization at the Director level or higher, including managing other leaders.

• Direct experience in the mortgage industry is essential, covering origination and/or servicing, with a solid understanding of the loan lifecycle, investor and agency reporting, and mortgage data behavior.

• Proven experience in building an enterprise data platform and organization from a fragmented or immature state.

• Demonstrated success in consolidating distributed data and reporting teams into a unified operating model.

• Experience in establishing data governance within a regulated environment, including exposure to regulatory examination and auditing processes.

• Experience enabling analytics and artificial intelligence via enterprise data capabilities in production, not limited to pilot projects.

• Experience functioning as a member of an executive leadership team and presenting to C-suite and board audiences.

• Comprehensive knowledge of mortgage processes, systems, and regulations, including loan origination systems, servicing platforms, secondary marketing, and investor delivery.

• Strong understanding of modern data architecture, including cloud data warehousing, medallion or layered architectures, ELT patterns, and data modeling.

• Proficient in the modern data stack, including Snowflake or comparable cloud platforms, dbt, orchestration tools, and CI/CD for data.

• Extensive expertise in data governance frameworks, data quality management, metadata, and lineage.

• Knowledgeable about privacy and data protection regulations as they pertain to consumer financial data.

• Strong financial acumen, including the ability to develop a business case, manage capital and operating budgets, and justify investments to a CFO.

• Exceptional communication skills, capable of transitioning between technical design reviews and executive briefings without losing audience engagement.

• Proven ability to influence peers and executives who do not report directly to this position.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Competitive salary with performance-based bonuses.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and continuous learning.