Director of Data & Analytics Engineering

Reach Financial

4h•$220,000 - $250,000•Hybrid

About The Position

Reach Financial is a profitable consumer lending company helping people improve their financial health through credit products that provide the right support at the right time. Our success is built on data and it informs every decision we make, from how we assess credit risk to how we design customer experiences and scale responsibly. We’re now looking for an exceptional Director of Data & Analytics to define and execute our data strategy. This is a high-impact leadership role at the center of how Reach operates, competes, and grows. As Director of Data & Analytics, you’ll own the vision, strategy, and execution of how data fuels Reach’s business. You’ll lead a talented team across data engineering and analysts, guiding them to deliver trusted insights, scalable infrastructure, and operational excellence. Reporting to the Chief Technology Officer, you’ll partner closely with leaders across Risk, Finance, Product, and Engineering to ensure data is not just a function but a strategic advantage that drives measurable business outcomes. In your first year, you’ll shape Reach’s enterprise data strategy, establish governance and reliability standards, and enable the business to make faster, data-informed decisions through scalable platforms and self-service analytics.

Requirements

10+ years of experience in data and analytics, with at least 5 years leading high-performing cross-functional teams.
Deep understanding of modern data architecture, governance, and analytics within a regulated industry (fintech, lending, or financial services).
Proven track record of scaling data teams and platforms in high-growth environments.
Strong communicator who can simplify complex data concepts for executives and non-technical stakeholders.
Experienced in operationalizing data governance, self-service analytics, and data products.
Strategic thinker who can balance long-term vision with hands-on execution.
Forward-looking leader with curiosity about AI, automation, and emerging data technologies.

Nice To Haves

Snowflake or DBT Certifications
Experience leading Data modernization projects with a focus on consolidation and simplicity
Experience with or certifications in Salesforce CRM Data Platform
Experience working in the Financial Services industry and familiarity with working in a regulated environment.

Responsibilities

Set the Strategic Vision
Define and execute a clear data and analytics strategy aligned with Reach’s business goals and growth priorities.
Partner with senior leadership in Risk, Capital Markets, Finance, Operations, Marketing, and Product to embed data into every key decision.
Establish a unified architecture and measurement framework across business lines.
Anticipate trends in data and AI, positioning Reach to adopt high-impact innovations ahead of the curve.
Drive transformation toward a cloud-first, scalable, governed data platform that enables real-time analytics and responsible AI.
Build and Evolve the Data Platform
Lead the evolution of Reach’s modern data stack (Fivetran, dbt, Snowflake, Tableau) to maximize reliability, scalability, and cost efficiency.
Implement best practices for ingestion, transformation, observability, and data quality.
Champion strong data governance, lineage, and discoverability through automation and tooling.
Continuously evaluate new technologies and vendors that deliver measurable business value.
Elevate Analytics & Insight
Develop a unified analytics layer that powers self-service reporting and executive decision-making.
Ensure business teams can independently access accurate, timely insights to drive product, risk, and operational outcomes.
Translate complex data into clear narratives that inform strategy and create business clarity.
Ensure data product ownership principles by ensuring models, pipelines, and datasets are treated as reliable, discoverable, and reusable assets.
Advance Data Science & Machine Learning
Partner with the Data Science team to evolve ML models for credit, fraud, pricing, and collections.
Collaborate to expand AI/ML use cases into new domains such as marketing, service, and operations.
Help establish a scalable, explainable ML Ops practice to ensure compliant and efficient model development and deployment.
Define processes that allow for rapid experimentation and measurable impact.
Operational Excellence
Establish clear SLAs, data quality standards, and cost controls to ensure the data function operates as a disciplined, high-performing organization.
Embed data observability and incident management into daily workflows.
Continuously improve internal processes to increase delivery velocity, reduce latency, and enhance reliability.
Lead and Inspire
Build, mentor, and scale a high-performing data team spanning engineering, analytics, and data product management.
Foster a culture of accountability, curiosity, and innovation grounded in transparency and trust.
Develop leadership depth within the team and support cross-functional collaboration across departments.
Represent Reach’s data capabilities internally and externally as a thought leader and advocate.