Strategic Lead: Data & AI Transformation for Investments

Castleton Tower Consulting, LLC; New York (NY); Hybrid; USD 250,000 - 500,000; Full time

Benefits offered by this job

Path to Partnership

Direct Mentorship

Equity for high performers

Job summary

Castleton Tower Consulting, LLC is seeking a strategic leader to drive data and technology transformation for investment firms in New York. You will lead projects from concept to completion, collaborate with senior investment professionals, and utilize Python and SQL to develop analytics tools.

The role offers a path to partnership and competitive compensation between $250k and $500k, depending on experience, with expectations for hybrid work in the NYC area.

Qualifications

• Prior experience within an investment management or trading organization.
• Demonstrated project leadership and comfort managing relationships with senior executives.
• Proficiency in Python and SQL for data analysis and application development.
• Strong conceptual understanding of modern data infrastructure.

Responsibilities

• Partner with senior investment professionals to understand business goals.
• Own client relationships end-to-end, managing expectations and deepening engagements.
• Lead projects from inception to delivery, ensuring the final product solves actual business problems.
• Design data architectures and analytics solutions that fit the client's investment workflow.
• Use Python and SQL to build dashboards and analytics tools.

Skills

Python

SQL

Project leadership

Client relationship management

Modern data infrastructure

Tools

Snowflake

Databricks

AWS

Job description

Castleton Tower Consulting, LLC is seeking a strategic leader to drive data and technology transformation for investment firms in New York. You will lead projects from concept to completion, collaborate with senior investment professionals, and utilize Python and SQL to develop analytics tools.

The role offers a path to partnership and competitive compensation between $250k and $500k, depending on experience, with expectations for hybrid work in the NYC area.