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.