Director of Data & Analytics Engineering, Reach Financial

• 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

Desirable

• 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
• 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
• 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
• 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
• 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
• 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
• 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