Applications Development Group Manager, Senior Vice President

• Design, develop, and maintain expert-level conceptual, logical, and physical data models for the wealth management domain, covering areas such as client holdings, transactions, performance, and risk
• Lead the strategy and execution for modernizing our analytical data and data warehouse technologies, including the migration and integration of cloud-based providers (e.g., AWS, Snowflake, Google Cloud Platform)
• Create and implement robust, scalable, and secure frameworks for data ingestion (batch and real-time), data curation, quality control, and data distribution to downstream consumers
• Architect and oversee the integration between core operational systems (e.g., trading, portfolio management) and our analytical systems to ensure seamless data flow and a single source of truth
• Champion and demonstrate the use of AI to solve data problems
• Act with a strong sense of urgency to drive projects from conception to completion. Troubleshoot complex data-related issues and ensure the timely delivery of high-quality data solutions
• Partner closely with business leaders, portfolio managers, financial advisors, and technology teams to understand their data needs and translate them into technical requirements and solutions

• 10+ years of experience in technology roles within major financial services firms, with a significant portion dedicated to wealth management
• Proven track record of working with analytical data platforms and data warehouses through their technological evolution, from on-premise traditional systems (e.g., Teradata, Oracle) to modern cloud-based solutions
• Demonstrated expertise in creating and managing complex data models specifically for the wealth management industry. Must be able to articulate the nuances of wealth data
• Hands-on experience building frameworks for the end-to-end data lifecycle: ingestion, curation, and distribution
• Proficiency with data wrangling and preparation tools (e.g.,Dataiku, Alteryx, or similar)
• Advanced skills in data visualization tools (e.g.,Tableau, Power BI, or similar)
• Strong SQL skills and experience with various database technologies
• Familiarity with programming languages such as Python for data manipulation
• A proactive, "get-it-done" attitude with a proven ability to act with urgency and navigate a complex, fast-paced environment
• Ability to think holistically and bridge the gap between operational and analytical systems, understanding the dependencies and data flows
• Bachelor's degree in Computer Science, Engineering, Data Science, Finance, or a related field

Master's degree is a plus

• Discretionary and formulaic incentive and retention awards
• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays