Director, Business Intelligence & Analytics Engineering

Description
POSITION

DESCRIPTION:



Reporting to EnFin's Senior Director of Credit Risk & Analytics, the Director of Business Intelligence & Analytics Engineering is a senior leadership role with enterprise-wide accountability for EnFin's data intelligence capability. You will define the strategic vision for how data flows from source systems into trusted, governed, and decision-ready intelligence and be accountable for every layer of that stack, from the analytics engineering data foundation through the executive reporting surface.

This is not a maintenance role; it is a build role. You will recruit and develop a high-performing team across two verticals, own the data quality and reporting roadmap, drive adoption of a self-serve analytics culture across all business functions, and serve as EnFin's most senior internal advocate for data credibility and platform maturity. You will partner at the executive level with the CRO, CFO, and Technology leadership and represent the analytics function in capital partner and ABS program discussions.

This position will be based out of one of our offices in Irvine, CA, San Francisco, CA, Santa Clara, CA, Teaneck, NJ with an in-office schedule set at the direct manager's discretion in accordance with the company policies and procedures . Remote may be considered in exceptional cases.
RESPONSIBILITIES

Analytics Engineering Data Foundation and Governance

• Define and own the multi-year technical architecture of EnFin's analytics data platform including the dbt-based semantic layer in Snowflake, the Tableau reporting surface, and the data quality observability stack ensuring every layer is governed, documented, and built to scale with the business.
• Own all analytics vendor relationships and procurement decisions including Snowflake, Tableau, dbt, and AI productivity tooling evaluating build vs. buy tradeoffs, negotiating contracts, and ensuring that the enterprise analytics stack is cost-efficient, scalable, and consistently governed across all reporting surfaces.
• Establish EnFin's enterprise data quality program: define a multi-tier validation framework covering source verification, cross-system reconciliation, business rule validation, and statistical reasonableness checks. Set data quality SLAs by domain, publish a real-time executive observability dashboard, and build the organizational accountability structures that ensure ongoing compliance.
• Serve as the business-side architect in all data infrastructure decisions. Negotiate and prioritize CDC implementation, SCD strategies, and ETL pipeline design with the technology team, own the analytics-layer data contract that defines what fields are required, at what fidelity, and with what latency to support credit risk and capital markets reporting requirements.

Business Intelligence and Reporting

• Own the enterprise reporting surface end-to-end. Set the vision and standards for a production-grade, certified Tableau reporting suite, govern the promotion pipeline from development to production, ensure every executive-facing and capital partner-facing dashboard reflects a single, auditable version of the truth with clear data lineage and refresh SLAs.
• Systematically audit and deprecate unreliable legacy dashboards and reports, replacing them with governed, certified reports connected directly to the clean reporting data layer.
• Establish clear ownership, documentation, and certification standards for every reporting surface consumed by leadership or external stakeholders.
• Build and execute a multi-year self-serve analytics roadmap to deploy certified metrics and governed data products through Tableau so business teams across Risk, Operations, Capital Markets, Finance, and Compliance can answer domain questions independently. Establish metric governance councils and data stewardship accountability that prevents metric fragmentation and eliminates conflicting KPIs at the executive level.
• Function as a senior data strategist and thought partner to functional leaders across Risk, Operations, Servicing, Capital Markets, Finance, and Compliance. Translate complex domain requirements into durable, governed data products, advise on metric…