Business Intelligence​/Insights Team Lead

Overview

We are seeking an experienced and driven Business Intelligence expert to architect and scale an industry-leading visualization function. As a P4 Lead, you don’t just build dashboards; you possess a strategic vision for the future of BI and the technical authority to execute it. You have proven experience designing intuitive, UI/UX interfaces that simplify complex data, a deep mastery of data extraction within big data ecosystems, and a passion for translating raw insights into high-stakes business decisions.

As a team lead, you will bridge the gap between technical engineering and executive strategy. This role offers the opportunity to command best-in-class cloud-native technology and work a rich, global big data ecosystem.

• Drive the visualization roadmap by partnering with business leaders to design, document, and deploy internal and customer-facing insights that tell a compelling, data-driven story
• Architect and lead the integration of AI-enabled solutions, proactively identifying opportunities to use Generative AI to automate insights and enhance visual storytelling
• Direct a high-performing team of visualization experts, ensuring all deliverables meet the highest standards of functionality, user experience, and technical rigor
• Architect scalable data models and define methodologies for the extraction and transformation of big data using SQL and Python to support enterprise-level visualization
• Serve as the primary thought leader for data visualization across the organization, institutionalizing new processes that elevate both individual and team performance
• Establish enterprise-wide standards and best practices for data access, integration, and visualization within our next-generation big data analytical platforms
• Execute high-fidelity wireframes and mockups to align stakeholders on functionality and design vision for critical, high-visibility client projects
• Mentor and upskill the BI team, fostering a culture of extreme ownership, continuous technical evolution, and excellence in data storytelling

• BS degree in a STEM major or equivalent discipline
• 8–10 years of experience as a BI professional or Data Analyst, with a proven track record of delivering complex, multi-stakeholder projects
• Extensive expertise in enterprise BI tools (Looker, Spotfire, Tableau, or Power BI) and the ability to navigate their technical limitations
• Extensive experience in SQL is a must, as well as strong working knowledge of Python
• Proven experience designing and optimizing production-grade data models to ensure high performance across massive datasets

• Master’s degree in a related field is a strong plus
• Background in credit risk, financial data analytics or risk modeling
• Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop)
• Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
• Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
• Demonstrates advanced Git usage and CI/CD integration skills