Vice President, Analytics (, AZ, United States)

Responsibilities

• Define and implement a comprehensive analytics strategy aligned with AssetMark’s business objectives and growth plans, identifying new opportunities to leverage data-driven insights for competitive differentiation
• Champion the adoption of predictive analytics, AI, and machine learning for business process improvement, advisor enablement, and client impact
• Own enterprise business intelligence capabilities, including executive reporting, KPI frameworks, dashboard strategy, and self-service analytics
• Lead the design, deployment, and optimization of analytics operations, including advanced reporting platforms, data visualization tools, and analytics pipelines ensuring scalability and reliability
• Oversee the integration and enhancement of company analytics infrastructure with AssetMark’s enterprise data lake and cloud data platforms (e.g., Snowflake, AWS, Azure), enabling seamless access to trusted, high-quality data
• Direct the development and operationalization of advanced analytics solutions, including segmentation, forecasting, next-best-action models, lead scoring algorithms, and process automation
• Partner with Product, Engineering, Sales, Marketing, and Operations leaders to leverage analytics for business optimization and client outcomes, embedding recommendations and insights into workflow tools and business intelligence
• Build and develop a world-class analytics team, attracting top talent in data engineering, analytics, and data science
• Mentor, coach, and promote professional growth within the analytics function, fostering a high-performance, innovation-focused culture

Requirements

• 12+ years of professional experience in analytics, data science, or business intelligence
• Preferred candidates will have 5+ years in leadership roles within wealth management, asset management, or financial services
• Demonstrable experience architecting and scaling analytics organizations, including building advanced analytics and data science capabilities
• Deep expertise in business intelligence, advanced analytics (predictive modeling, segmentation, forecasting), machine learning, and cloud data platforms (Snowflake, AWS, Azure)
• Proficient with analytics tools such as Tableau, Power BI, Databricks, and relevant ML frameworks
• Exceptional ability to translate complex analytics findings into business opportunities and strategies, with strong communication skills for engaging stakeholders at all levels
• Proven track record of leading high-impact analytics teams and projects in entrepreneurial, growth-focused environments
• Strong background in analytics governance, data quality, privacy regulations, and compliance frameworks specific to financial services and wealth management
• Outstanding leadership qualities, demonstrated ability to attract, mentor, and retain top analytics talent
• Bachelor’s or Master’s degree in Analytics, Data Science, Computer Science, Statistics, Mathematics, or related quantitative field; advanced degree preferred.