Team Lead​/Director of Data Analytics

Team Lead/Director of Data Analytics

Location:

Arkansas

Job Type: Full-Time

Reporting to: CTO

Industry: Financial Technology (Fintech) – Managed Services

We are seeking a strategic and experienced Team Lead/Director of Data Analytics to lead the design and execution of enterprise-wide analytics initiatives for our client. Leading the analytics team, this role sits at the intersection of technology leadership, client advisory, and data strategy, and is pivotal to the continued innovation and growth of their services.

As the Team Lead/Director of Data Analytics, you will oversee all aspects of delivery and architecture of the modern data platform. You will collaborate with clients, executive stakeholders, and technology teams to champion the adoption of analytics solutions that generate meaningful insights, enhance operational effectiveness, ensure adherence to regulatory standards, and foster innovation that benefits both customers and internal teams.

Our client is a well-established software house specializing in managed services for the financial technology (fintech) sector. Their solutions support a growing portfolio of banks, credit unions, and fintech innovators by enabling secure, scalable, and intelligent financial operations.

As a primarily Microsoft-based environment, they leverage Azure and other Microsoft technologies to deliver robust, compliant, and future-ready data and analytics solutions. The company was founded by a team of seasoned entrepreneurs who have managed to successfully take the organization from inception to a public listing on the stock exchange — bringing a wealth of experience, vision, and executional excellence to this venture.

They are a growth-driven, mission-aligned organization focused on building resilient, client-centered data platforms that power decision-making and innovation across the financial services ecosystem.

• Develop and lead the overall vision for enterprise analytics, aligning initiatives with organizational objectives, compliance standards, and customer expectations;

• Convert strategic business priorities into actionable plans across data engineering, reporting & business intelligence, AI/ML, and advanced analytics functions;

• Serve as a champion for analytics-driven decision making, building executive support and securing necessary investments;

• Participate in cross-functional leadership groups to influence enterprise-wide technology strategies and business roadmaps from a data and analytics perspective;

Team & Organizational Leadership

• Direct and nurture a high-performing analytics organization, including Data Engineering, BI, Data Science enablement, and Governance functions;

• Cultivate a high-accountability environment that emphasizes technical excellence, innovation, and continuous professional development;

• Oversee talent acquisition, retention strategies, and performance management across the analytics team;

• Manage and optimize the analytics operating budget, including headcount, platforms, and cloud infrastructure, ensuring resource allocation aligns with strategic outcomes;

• Collaborate closely with Finance to maintain budget discipline, manage vendor relationships, and transparently report value delivered relative to investment;

• Monitor and forecast usage-based cloud expenses (e.g., Azure Databricks, Data Factory, storage, licensing), proactively adjusting to balance performance and cost-effectiveness;

• Lead the architecture and continuous enhancement of a cloud-native data platform, leveraging tools such as Azure Data Factory, Databricks (Python, SQL), dbt, and Power BI;

• Promote and operationalize medallion architecture principles (bronze/silver/gold layers) for scalable and efficient data processing;

• Define and implement data modeling standards (e.g. dimensional modeling for analytics, transactional schema for OLTP), ensuring cross-platform integration;

• Drive infrastructure automation and repeatability via Infrastructure-as-Code practices using tools like Terraform;

• Integrate advanced data governance tools (e.g. Unity Catalog, Microsoft Purview)…