Vice President, Analytics

Job Description:

Asset Mark is a leading wealth management platform dedicated to empowering independent financial advisors. Asset Mark's mission is to enable financial advisors to make a profound difference in the lives of their clients. Over 10,000 advisors partner with Asset Mark for our investment offerings, innovative technology, advanced services, and expertise, which they use to delight their clients and grow their businesses.

We are an integrated team of technologists, investment professionals, operations experts working to help our clients stay at the pioneering front of wealth management.

The Opportunity

As Asset Mark accelerates data-driven transformation, the VP, Analytics will lead the strategy, execution, and evolution of analytics across the organization. This executive will establish and drive a high-impact analytics center, enabling scalable insights and advanced modeling to unlock new business opportunities, strengthen client experiences, and drive operational performance. The ideal candidate excels at working across business and technology, ensuring that analytics initiatives deliver measurable results while upholding robust governance and compliance standards.

We can only consider candidates for this position who are able to accommodate a hybrid work schedule and are close to one of our following offices:
Charlotte, NC, Phoenix, AZ, Concord, CA or Chicago, IL.

Key Responsibilities:

Analytics Strategy & Leadership

* Define and implement a comprehensive analytics strategy aligned with Asset Mark'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.

Analytics Operations

* 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 Asset Mark's enterprise data lake and cloud data platforms (e.g., Snowflake, AWS, Azure), enabling seamless access to trusted, high-quality data.

Advanced Analytics & Insights

* Direct the development and operationalization of advanced analytics solutions, including segmentation, forecasting, next-best-action models, lead scoring algorithms, and process automation.

* Foster a culture of analytics-driven decision-making across all business units, enabling teams to leverage self-service analytics resources and robust BI platforms.

* Drive innovation through advanced analytics, machine learning, and AI-enabled solutions to solve critical business challenges.

Business Integration & Impact

* 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.

* Lead cross-functional analytics projects, ensuring alignment to business goals and delivering actionable insights at speed and scale.

* Establish analytics operating models, prioritization frameworks, and governance processes to ensure scalable and business-aligned delivery.

Team Building & Talent Development

* 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.

Qualifications &

Experience:

Leadership & Experience

* 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.

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