Vice President of Engineering, Investment Data & Analytics

Selby Jennings; Boston (MA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Selby Jennings is seeking a Vice President of Engineering for Investment Data & Analytics in Boston. Hybrid work arrangement.

You will lead strategy, architecture, and delivery of enterprise data platforms supporting investment research, portfolio management, and BI initiatives. You will mentor a high-performing team, drive engineering excellence, and partner with investment professionals, researchers, and product teams to deliver technology-driven solutions that improve investment

Qualifications

• 10+ years in data/engineering and technology delivery.
• 5+ years leading technical projects or large-scale initiatives.
• Experience designing and operating enterprise-scale cloud data platforms.
• Strong SQL and Python proficiency.
• Hands-on with Snowflake or comparable cloud data warehouse tech.
• Experience with DBT, Airflow, Dagster, or similar tools.
• Deep understanding of ETL/ELT, data governance, and data quality.

Responsibilities

• Design, build, and scale cloud-based data platforms.
• Develop robust batch and near real-time data pipelines.
• Establish data governance, quality, observability, and testing practices.
• Lead architecture decisions and provide guidance on modernization efforts.
• Mentor and develop engineering teams for accountable delivery.
• Coordinate with product, operations, and business teams.

Skills

SQL

Python

Cloud data platforms

Leadership

Data modeling

Education

Bachelor's in CS/Engineering

Master's degree preferred

Tools

Snowflake

Airflow

Dagster

DBT

Job description

Vice President of Engineering, Investment Data & Analytics

Boston, MA (Hybrid)

Position Overview

• Lead the strategy, architecture, and delivery of enterprise data and analytics platforms that support investment research, portfolio management, and business intelligence initiatives.
• Partner closely with investment professionals, quantitative researchers, product teams, and business stakeholders to deliver technology-driven solutions that improve investment decision-making.
• Serve as a hands-on technical leader, driving architecture, design, and engineering excellence while developing and mentoring a high-performing team.

Key Responsibilities

• Design, build, and scale modern cloud-based data platforms supporting investment and analytics workflows.
• Develop and maintain robust batch and near real-time data pipelines for financial, economic, and alternative datasets.
• Establish best practices for data modeling, governance, data quality, observability, testing, and platform reliability.
• Lead architecture decisions and provide technical guidance for complex, business-critical initiatives.
• Partner with investment and research teams to identify opportunities for automation, analytics, and operational improvement.
• Build scalable infrastructure and platforms that support data-intensive investment processes.
• Drive continuous improvement across engineering processes, delivery standards, and platform performance.
• Lead, mentor, and develop engineering talent, fostering a culture of accountability, ownership, and collaboration.
• Manage cross-functional initiatives and coordinate with product, operations, and business teams to ensure successful execution.
• Solve complex and often unstructured business problems through innovative technology solutions.

Required Qualifications

• 10+ years of experience in data engineering, software engineering, and technology delivery.
• 5+ years of experience leading technical projects, engineering teams, or large-scale platform initiatives.
• Strong experience designing and operating enterprise-scale cloud data platforms.
• Advanced proficiency with SQL and Python.
• Hands-on experience with Snowflake or comparable cloud data warehouse technologies.
• Experience with DBT, Airflow, Dagster, or similar data orchestration and transformation tools.
• Deep understanding of ETL/ELT development, data modeling, data governance, data quality, observability, and performance optimization.
• Proven track record of leading engineering teams and delivering data and analytics platforms from design through production.
• Strong communication skills with the ability to interact effectively with both technical and business stakeholders.
• Experience driving architecture strategy, platform modernization, and engineering best practices.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Master's degree preferred.
• Experience working with financial, investment, asset management, private equity, or research-focused data environments.
• Background building analytics, reporting, and investment data solutions at scale.
• Passion for solving complex business and investment challenges through technology and data.