Data Product Leader, Enterprise & AI Platform (Remote)

TradeStation

United States

On-site

USD 197,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Yearly bonus
Comprehensive benefits
Unlimited Paid Time Off
Pay Range (US) $197-225K

Job summary

TradeStation is seeking an Enterprise Data Products & Solutions Director to drive the company’s enterprise data strategy and productized data foundation. You will own data products, governance, and the operating model, reporting to the VP of Enterprise Data & AI and collaborating with senior leaders across functions.

This individual-contributor leadership role will set priorities, drive cross-functional execution, and deliver measurable business outcomes by building a scalable data

Qualifications

  • Own an entire data domain or portfolio with multi-year strategy and measurable business outcomes.
  • Ability to drive organizational change toward a "data as a product" mindset across teams.

Responsibilities

  • Define and drive the data product area vision, strategy, and multi-year roadmap linked to business goals.
  • Be accountable for area-level OKRs, adoption, data quality, trust, and business impact across the data function.
  • Lead the transition from project-based data delivery to governed, reusable data products with clear ownership.
  • Set standards and operating models to scale data initiatives across Product, Engineering, Data Science and business teams.
  • Communicate strategy and progress to executives and the Board, influencing decisions without direct authority.

Skills

SQL
Python
Data Governance
Data Products
AI Tools (Claude, LLMs)
Executive Presence

Education

Bachelor's degree in business, CS, data science, or related field

Tools

Databricks
Snowflake

Job description

TradeStation is seeking an Enterprise Data Products & Solutions Director to drive the company’s enterprise data strategy and productized data foundation. You will own data products, governance, and the operating model, reporting to the VP of Enterprise Data & AI and collaborating with senior leaders across functions.

This individual-contributor leadership role will set priorities, drive cross-functional execution, and deliver measurable business outcomes by building a scalable data

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