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Vice President, Analytics
AssetMarkVP 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 & technologiesAWSAzureCloudTableau
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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