Director, Data Analytics & Insights

Great America Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth.

We are looking to add a key member to our Data Team!

The Director, Data, Analytics and Insights is responsible for leading data and analytics strategy for enterprise analytics and customer insights that drive the future performance of our business and are enabled through scalable data capabilities. This role owns the strategy to deliver data, analytics, and insights to key stakeholders, including high-quality insights and key decision support, as well as the analysis of tradeoffs.

Additionally, this leader partners with key stakeholders to deliver modern data products and establish a strong data-driven culture across the organization. In partnership with Technology, this role ensures data assets, reporting, and analytic solutions are aligned with evolving enterprise priorities and plays a key role in leading and supporting the efforts of our Product teams.

As the Director, Data Analytics & Insights, you will:

Strategy & Business Impact Defines and executes an enterprise data & analytics strategy aligned to business priorities

Leads and partners with executive leadership and key stakeholders to identify and prioritize high-value data and analytics initiatives across the enterprise, balancing requests from Product and non-Product teams, and partnering closely with the SVP of Operations to align efforts with product strategy, customer impact, and overall business priorities for growth, efficiency, and risk management.

Establishes and evolves the operating model for enterprise analytics, including intake, prioritization, governance, and capacity planning, to ensure resources are aligned to the highest-value business opportunities.

Develops a deep understanding of our customers and how our business operates to ensure data and analytics efforts are aligned with real-world needs, operational drivers, and opportunities to enhance customer experience and performance.

Builds strong partnerships across Product, Operations, Technology, Finance, Risk, Legal, Compliance, and other key functions to align analytics priorities, data practices, and decision support with enterprise needs.

Establishes success metrics (adoption, business impact, decision velocity) and drives measurable outcomes from analytics investments

Enterprise Analytics Own, Develop and maintain executive dashboards and KPIs that provide clear visibility into enterprise performance (e.g., enterprise activity dashboard, ROA analysis). Suggest actions and outcomes based on results.

Identify trends, patterns, and emerging risks to inform proactive decision-making.

Synthesize and communicate the enterprise performance story to executive leadership.

Translates complex data into clear executive narratives, recommendations, and decision support for senior leadership and board-level discussions.

Define and track metrics to measure the outcomes and impact of strategic initiatives.

Customer Insights Lead customer segmentation to better understand distinct customer groups and value drivers.

Develop and refine customer lifetime value models to inform growth and investment decisions.

Analyze customer behavior to uncover insights that drive engagement, retention, and ability to sell multiple products.

Partner with Sales and Operations on Voice of the Customer programs to translate themes/data to outcomes that drive incremental value to our customers.

Deliver retention and growth analytics to identify opportunities to improve customer loyalty and expand relationships.

Data Products & Insights Delivery Champions scalable self-service analytics capabilities, design standards, and data literacy efforts that enable leaders and teams to confidently use data in day-to-day decision-making.

Partners with advanced analytics and data science teams to operationalize insights and integrate predictive capabilities into business processes

Ensures consistent definitions, metrics governance, and trusted data sources across the enterprise

Data Governance Partners across business and technology teams to strengthen enterprise data governance practices, including stewardship, data quality, metadata, lineage, access controls, and consistent use of trusted data assets.

Applies enterprise data definitions and governance standards

Partners with Data Governance to ensure data quality and consistency

Leverages governed data assets to deliver insights

People Leadership & Talent Strategy Leads, develops, and scales a high-performing analytics organization (BI, analysts, and potentially data product roles)
Establishes role clarity, career paths, and capability models across analytics disciplines

Oversees hiring, performance management, and succession planning for the function

Builds enterprise data literacy through structured…