Vice President, Data Analytics

Vice President, Data Analytics Overview

• Lead enterprise data strategy and analytics capabilities for a dynamic financial services organization.
• Collaborate with cross-functional teams to build a modern data ecosystem supporting business growth and operational efficiency.
• Drive data governance standards and oversee engineering and business intelligence initiatives.
• Deliver actionable insights across investment strategies, enhancing decision-making and reporting.
• Evaluate and implement cutting-edge cloud-based data platforms and analytics technologies.
• Mentor and lead a team of skilled data professionals to achieve organizational goals.
• Ensure compliance with regulatory requirements and maintain data security and integrity.
• Develop executive dashboards and self-service reporting capabilities using modern BI tools.
• Contribute to a hybrid work environment promoting flexibility and work-life balance.

Vice President, Data Analytics Key Responsibilities & Duties

• Develop and execute enterprise data strategies aligned with organizational objectives.
• Establish scalable data architecture supporting investment, operational, and client reporting needs.
• Lead a high-performing team of data engineers and analytics professionals.
• Oversee design, implementation, and maintenance of enterprise data platforms.
• Integrate data across portfolio management systems and external vendors.
• Ensure data quality, security, and accessibility across business functions.
• Develop dashboards and KPI reporting for investment and operational performance.
• Automate manual reporting and operational processes to enhance efficiency.
• Monitor data controls and collaborate with compliance and risk teams.

Vice President, Data Analytics Job Requirements

• Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, or related field.
• 10+ years of experience in data engineering, analytics, or enterprise data management.
• 5+ years of leadership experience managing technical teams and initiatives.
• Expertise in cloud platforms like Azure, AWS, or Google Cloud.
• Proficiency in SQL, ETL/ELT frameworks, and modern data warehouse technologies.
• Experience with BI tools such as Power BI, Tableau, or Looker.
• Strong understanding of investment data and financial data management.
• Excellent project management and stakeholder communication skills.
• Knowledge of regulatory compliance, data governance, and cybersecurity requirements.