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AssetMark

Vice President, Analytics

AssetMark

VP of Analytics leading data transformation and strategy at AssetMark, a wealth management platform. Driving insights and operational performance through advanced analytics and modeling.

Posted 6/3/2026full-timeCharlotte • Arizona, California, Illinois, North Carolina • 🇺🇸 United StatesLead💰 $200,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudTableau

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Flex Time or Paid Time Off and Sick Time Off
  • 401K – 6% Employer Match
  • Medical, Dental, Vision – HDHP or PPO
  • HSA – Employer contribution (HDHP only)
  • Volunteer Time Off
  • Career Development / Recognition
  • Fitness Reimbursement
  • Hybrid Work Schedule

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
analytics strategypredictive analyticsmachine learningbusiness intelligenceadvanced analyticsdata visualizationdata engineeringdata scienceforecastingsegmentation
Soft Skills
leadershipcommunicationmentoringcoachingteam buildingstakeholder engagementinnovationbusiness optimizationprofessional growthhigh-performance culture
Certifications
Bachelor’s degreeMaster’s degreeadvanced degree in Analyticsadvanced degree in Data Scienceadvanced degree in Computer Scienceadvanced degree in Statisticsadvanced degree in Mathematics