VP, Enterprise Data & Analytics

Role Description

We're seeking a hands-on VP, Enterprise Data & Analytics to own and lead TradeStation's data science, analytics, and data product functions end to end — and to make data TradeStation's competitive advantage. Reporting directly to the SVP of Product Strategy, this executive owns the multi-year strategy, the operating model, and the business outcomes of the entire data domain:

• Activating the company for data-driven decisions
• Building data products
• Laying the data foundation that fuels AI

This is a working leadership role — the VP sets the vision and strategy and stays hands-on in the data, the platform, and the code, not just managing from above.

This role owns the disciplines that turn data into value:

• Data Science & Advanced Analytics
• Data Products & Data-Driven Activation
• Data Foundations for AI

What You'll Be Doing:

• Set the Vision & Own the Outcomes
  • Deliver, not just direct – stay hands-on and personally ship the hardest, highest-leverage data science, analytics, and data-product work
  • Own the data science, analytics, and data product vision, strategy, and multi-year roadmap
  • Be accountable for domain-level outcomes
  • Make data TradeStation's competitive advantage
  • Define the operating model and standards
• Data Science & Advanced Analytics
  • Build and lead the firm's data science and advanced analytics organization
  • Stay hands-on in the analytics
  • Establish frameworks for scalable analytics delivery
  • Evangelize and activate a data-driven culture across TradeStation
• Data Products & Data-Driven Activation
  • Own the data product portfolio and the Data Product Management function
  • Drive prioritization into Engineering
  • Own the semantic layer strategy
  • Drive the value of data products
  • Own third-party and market data sourcing
• Enterprise Data Foundation & Engineering Partnership
  • Set the architecture and direction for the enterprise data foundation
  • Direct real-time and low-latency data capabilities for trading and market data
  • Partner with the Enterprise Analytics engineering team
  • Ensure the foundation is trusted, compliant, and scalable
• Data Foundations for AI & Agentic Workflows
  • Lay out the vision and strategy for how data fuels AI
  • Design the trusted, governed data foundations
  • Stand up the GenAI data layer
  • Partner with the AI Product & Solutions team
  • Leverage AI to accelerate the data function itself
• Hands-On Technical Leadership
  • Operate as a working leader, not just a manager
  • Set technical standards by example
  • Stay close enough to the data and tooling
• Data Governance, Quality & Compliance
  • Establish and own enterprise data governance
  • Drive enterprise data quality and trust
  • Own regulatory, privacy, and compliance alignment
• Organizational Leadership & Executive Influence
  • Serve as the executive-facing authority on data and analytics
  • Build and develop the organization
  • Influence and align across the organization
  • Deliver quantifiable business outcomes

Qualifications

• Domain Ownership & Executive Leadership
• Hands-On SQL & Python
• Modern Data Stack & Cloud
• Data Architecture & Modeling
• Semantic Layer & Metrics Design
• Data Science & Machine Learning
• AI & GenAI for Data
• Enterprise Data Governance
• BI & Data Visualization
• Strategic Data Leadership
• Cross-Functional Delivery with Engineering
• Executive Presence & Influence
• Outcome-Driven Operator
• Financial Services & Market Data Expertise

Requirements

• Minimum Qualifications:
  • Bachelor's degree in business, finance, computer science, data science, or a related technical field
  • 15+ years of progressive leadership experience in enterprise data, data science, analytics, or data product within fintech, trading technology, or other heavily regulated financial services
  • 7+ years in senior leadership roles, including direct management of Director-level leaders and cross-functional teams
• Desired Qualifications:
  • Advanced degree (MBA or technical master's in Computer Science, Data Science, Financial Engineering, or Engineering)

Benefits

• Collaborative work environment
• Competitive Salaries
• Yearly bonus
• Comprehensive benefits for you and your family starting Day 1
• Unlimited Paid Time Off
• Flexible working environment
• TradeStation Account employee benefits, as well as full access to trading education materials
• Pay Range (US) $244-279K