Sr. Director of Engineering, Data Collections Technology

About the role

The Data Collections Technology team is the foundational platform collection engine for PitchBook. Our mission is to architect, build, and operate the unified Acquisition, Processing, and Management Platforms that power PitchBook's proprietary data engine. We focus exclusively on engineering highly scalable, resilient, and secure systems that transform vast volumes of raw external data into structured, high-quality, and actionable data assets for the entire business. As a core team of globally distributed Software Engineers, we are responsible for the architectural integrity and operational excellence of mission-critical systems, including the core ETL/ELT infrastructure, data storage services, and the frameworks that ensure robust data quality and governance. We operate as a center of excellence for platform delivery, driving high-leverage outcomes by collaborating cross-functionally, cross-divisionally, and across business units. The Director of this team, reporting to the Sr. Director of Engineering, Data Collections Technology, will partner closely with Data Operations to industrialize data collection workflows, Data Collections Product to define platform capabilities, and peer Engineering teams to standardize best practices for large-scale data ingestion and processing. Our success is measured by the reliability, efficiency, and throughput of our data processing infrastructure, directly enabling the business to accelerate coverage and deliver timely insights to our customers. As a Sr. Director of Data Collections Technology, you will define and execute the comprehensive technology strategy for acquiring, processing, and integrating PitchBook's proprietary public and private market data. You will be directly accountable for building, and operating the end-to-end Data Collection Platform, encompassing robust, scalable ingestion pipelines, resilient data storage solutions, and the intelligent systems that ensure PitchBook's data is as accurate, comprehensive, and timely as possible. In this high-impact role, you will lead a diverse, global organization of Engineers driving both architectural innovation and operational excellence for mission-critical systems. You will define the multi-year technical roadmap for automation, scalability, and quality across all core data domains, ensuring the entire technology stack delivers production-grade reliability and directly powers PitchBook's data ingestion and platform accuracy. Your leadership will guide the design, deployment, and optimization of the entire technology ecosystem, from low-latency data acquisition services to coordinating with centralized AI/ML teams to leverage advanced AI-driven extraction and enrichment models (e.g., document AI, entity resolution, and quality validation). You will also play a key role in shaping the data colletions strategy across all of PitchBook and our parent company Morningstar, in collaboration with Product, Data Operations, and the core Engineering teams, ensuring consistency, reliability, and alignment with overarching business outcomes. This role demands a technically credible and outcome-oriented leader with an AI first mindset. One who can balance strategic accountability with hands-on technical oversight, and who can influence executive stakeholders across the organization while ensuring the continued growth and professional development of a globally distributed, high-performing technical team. Primary Job Responsibilities: Define and execute the unified platform technology strategy for data acquisition, processing, and management across the organization with an AI first mindset Partner with senior leadership to define the multi-year engineering roadmap that drives scalability, reliability, and cost-efficiency in data collection Establish and own operational KPIs for platform throughput, latency, and system availability across all production environments Lead, hire, and develop a high-performing global team of platform and software engineers; define clear roles and technical career progression Foster a culture of engineering excellence, ownership, and accountability fo