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Director, Business Intelligence

Director, Business Intelligence

Raymond James Financial ServicesNew York, NY, United States
10 hours ago
Job type
  • Full-time
Job description

Under limited direction with a high level of autonomy, the Director of Business Intelligence will partner with Raymond James Technology and Financial Crimes Management stakeholders to lead the transformation of the BI function within Financial Crimes Analytics (FCA). This is a player-coach role - combining technical leadership with direct execution - focused on modernizing our BI infrastructure, decommissioning legacy assets, and building a new suite of automated, scalable, insight-driven dashboards and workflows.

Reporting to the Vice President of Financial Crimes Analytics, this individual will manage and mentor a team of onshore and offshore BI professionals, drive cloud migration initiatives, ensure data governance and quality, and present actionable insights to support Anti-Money Laundering (AML), Fraud, Know Your Customer (KYC), and regulatory decision-making. The role requires both strategic vision and hands-on development expertise

Essential Duties and Responsibilities

Develop and execute a long-term Business Intelligence (BI) and enterprise data architecture strategy aligned with the organization's mission, vision, and business objectives, incorporating data warehousing, ETL processes, and cloud-native analytics platforms.

Lead modernization of reporting and analytics infrastructure, including migration from legacy dashboards and ETL workflows to cloud-based, real-time data streaming and visualization platforms.

Design and deliver automated, scalable dashboards, reports, and data pipelines using Tableau, Alteryx, and Amazon Web Services (AWS), leveraging technologies such as Redshift, and Glue for data orchestration.

Manage a distributed team of BI developers and data engineers (onshore and offshore), providing coaching, technical guidance on data modeling and pipeline optimization, and professional development.

Collaborate with cross-functional stakeholders to gather business and technical requirements, translating them into high-impact, data-driven insights using advanced analytics and machine learning models.

Establish and maintain data governance frameworks, development standards, metadata management, documentation, and performance monitoring for BI solutions

Assess and adapt to external developments, tools, and emerging trends in data analytics, artificial intelligence, and Financial Crimes detection, including anomaly detection and predictive modeling.

Lead the strategy and execution of enterprise-level reporting, including standardized templates, BI best practices, performance optimization, and integration with enterprise data lakes and data marts.

Serve as a hands-on contributor, developing complex SQL and Python queries, building interactive dashboards, and automating data preparation workflows using APIs and cloud-native tools.

Review code, ETL workflows, and data visualizations, providing technical guidance on data engineering best practices, coaching, and mentorship to BI and analytics staff.

Knowledge of

Financial crime risks, including money laundering, sanctions evasion, and regulatory expectations (e.g., BSA / AML, OFAC, FATF).

Business Intelligence platforms and architecture, including Tableau, Alteryx and Qlik

Relational databases and query languages, including Oracle, SQL Server, and cloud-based databases such as Amazon Redshift and Athena.

Financial crimes programs and regulatory requirements related to AML and Fraud (preferred).

Data governance, metadata management, data pipeline, and quality assurance frameworks.

Agile project management methodologies and modern analytics lifecycle practices.

Organizational development, including strategy alignment, capability building, and change management.

Skill in

Leading and mentoring high-performing, geographically distributed BI teams.

Designing and executing data-driven strategies and modernization initiatives.

Using SQL, Pandas, Alteryx, AWS and Tableau Prep for data blending, cleansing, and automation.

Building performance-optimized dashboards and reports using Tableau.

Communicating complex technical concepts to non-technical stakeholders and senior executives.

Creating and maintaining scalable analytics architectures across multiple data platforms.

Navigating organizational change and building buy-in across functional teams.

Ability to

Balance strategic leadership with direct technical contribution in a fast-paced environment.

Clearly articulate the relationship between analytics strategy and the broader business mission.

Translate business needs into actionable data solutions that drive decisions and outcomes.

Identify capability gaps, prioritize development activities, and coach others to reach their full potential.

Lead cross-functional projects that span data platforms, tools, and organizational units.

Anticipate challenges and opportunities in evolving business and regulatory environments.

Inspire a culture of innovation, quality, accountability, and continuous improvement within the BI function.

Education / Previous Experience

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, Finance, or a related field required.

Master's degree or MBA preferred.

10+ years of progressive experience in Business Intelligence roles.

5+ years in a leadership role managing BI teams, including experience with offshore resources.

Proven experience with BI modernization initiatives and cloud migration.

Demonstrated success in a highly regulated environment such as financial services, with experience supporting Financial Crimes, AML, or Fraud functions strongly preferred.

Licenses / Certifications

Tableau certifications are a plus but not required.

Alteryx certifications are a plus but not required.

Amazon Web Service (AWS) certifications are a plus but not required.

Certified Anti-Money Laundering Specialist (CAMS) or similar industry certification is a plus but not required.

Travel Required :

  • Yes,10%ofthe Time
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