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Vice President of Engineering, Investment Data & Analytics

Boston, MA, US • Posted 3 days ago • Updated 3 days ago

Full Time

On-site

Fitment

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Job Details

Skills

Mergers and Acquisitions
Portfolio Management
Business Intelligence
Decision-making
Workflow
Real-time
Testing
Continuous Improvement
Mentorship
Accountability
Collaboration
Management
Data Engineering
Software Engineering
SQL
Python
Snow Flake Schema
Cloud Computing
Data Warehouse
Orchestration
Extract
Transform
Load
ELT
Data Modeling
Data Governance
Data Quality
Performance Tuning
Communication
Computer Science
Finance
Asset Management
Private Equity
Research
Analytics
Reporting

Mergers and Acquisitions
Portfolio Management
Business Intelligence
Decision-making
Workflow
Real-time
Testing
Continuous Improvement
Mentorship
Accountability
Collaboration
Management
Data Engineering
Software Engineering
SQL
Python
Snow Flake Schema
Cloud Computing
Data Warehouse
Orchestration
Extract
Transform
Load
ELT
Data Modeling
Data Governance
Data Quality
Performance Tuning
Communication
Computer Science
Finance
Asset Management
Private Equity
Research
Analytics
Reporting

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24813826
Posted 3 days ago

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