Director of Engineering, AI

Director Of Engineering, Ai & Ml, Data CollectionsAt PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.About The RoleThe Data Collection AI/ML team sits at the intersection of automation, AI, and data quality. The team's mission is to accelerate and scale PitchBook's data coverage by applying advanced ML models to identify, extract, and validate entities, relationships, and key insights from vast collections of structured and unstructured sources, including filings, PDFs, and market documents.As the Director of the Data Collection AI/ML team, you will partner closely with Data Operations, Data Collections Product and Engineering teams to deliver seamless, intelligent data pipelines that transform raw inputs into high-quality, actionable data.As the Director of Data Collection AI & ML you will lead the strategy, vision, and execution of AI and ML initiatives focused on automating PitchBook's data extraction, enrichment, and validation workflows. Your organization will be responsible for building intelligent systems that ensure PitchBook's data collection is as accurate, comprehensive, and timely as possible, leveraging cutting-edge document AI, OCR, and entity resolution techniques applied to financial documents and other proprietary data sources.In this highly visible leadership role, you will manage a global team of 15+ data scientists and machine learning engineers, driving both innovation and operational excellence. You will define the roadmap for automation and enrichment across multiple data domains and ensure scalable, production-grade AI systems that directly power PitchBook's data ingestion pipelines and platform accuracy.Your leadership will guide the design and deployment of AI-driven extraction and enrichment models, including document classification, named entity recognition, relationship extraction, and quality validation systems. You will also play a key role in shaping cross-functional data and AI strategy in collaboration with Product, Data Operations, and the client-facing Insights AI/ML teams, ensuring consistency, reliability, and alignment with enterprise data objectives.This role demands a visionary yet hands-on leader one who can balance strategic direction with technical credibility, and who can influence across teams and executive levels while ensuring the continued professional development of a globally distributed technical team.In addition to driving product impact, this role offers an opportunity to shape PitchBook's growing presence and technical reputation in the AI and ML space. We are looking for individuals who are active contributors to the broader AI community through peer-reviewed research, technical publications, or open-source initiatives. Candidates who have authored conference papers or patents and who are excited to explore the frontiers of generative AI, LLMs, and applied NLP will be well-positioned to help us both advance our internal capabilities and deepen trust with our customers through thought leadership.Primary Job ResponsibilitiesDefine and execute the AI & ML strategy for data collection, extraction, and enrichment automation aligned with PitchBook's long-term data strategyPartner with senior leadership to identify high-impact opportunities for AI-driven automation and cost reduction in data collection workflowsEstablish success metrics and operational KPIs for automation accuracy, throughput, and coverage improvementLead, hire, and develop a high-performing global team of data scientists and ML engineers; define team structure, roles, and growth paths that align with organizational goalsFoster a culture of innovation, accountability, inclusion, and continuous improvement across distributed officesChampion hiring, mentorship, and professional development initiatives to grow internal AI/ML talentElevate engineering excellence through code reviews, design reviews, and technical guidance for ML engineers and scientistsAct as a multiplier by shaping best practices for experimentation, model evaluation, responsible AI, and scalable ML engineeringGuide teams across the organization toward cohesive, reusable, and standards-aligned architecturesCollaborate closely with Engineering, Product Management, and Data Operations to ensure the successful operationalization of AI/ML solutions into data pipelines and collection processesPartner with data quality and enrichment teams to align ML outputs with domain-specific validation frameworksServe as a trusted technical and strategic advisor to stakeholders across Product, Engineering, and Data OperationsOversee the end-to-end lifecycle of ML systems, from research and experimentation to deployment, monitoring, and optimizationEnsure high availability, reliability, and performance of production AI/ML systemsImplement and maintain strong standards of data integrity, security, and compliance in all modelsSupport the vision and values of the company through role modeling and encouraging desired behaviorsParticipate in various company initiatives and projects as requestedSkills And QualificationsBachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a related technical discipline (Master's degree preferred)12+ years of experience in machine learning, data science, or AI-focused engineering, including 7+ years leading technical teams; experience managing managers and geographically distributed teams is strongly preferredProven success delivering AI-driven data extraction, enrichment, or document understanding systems at scaleDeep expertise in natural language processing, document AI, OCR, entity resolution, large-scale data automation, optimizing large document workflows, and addressing latency in retrieval-based architecturesFamiliarity with agentic AI frameworks (MCP, A2A) and orchestration of multi-agent systemsStrong understanding of modern ML frameworks and infrastructure (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)Demonstrated ability to define and execute multi-year AI roadmaps with measurable business impactStrong knowledge of cloud-native architecture, distributed computing, and scalable model deploymentExcellent communication, collaboration, and influencing skills including experience presenting to executive and cross-functional leadershipA track record of fostering technical excellence and innovation across global, multidisciplinary teamsExperience in fintech, data platforms, or large-scale information extraction systems preferredContributions to the AI/ML research community (e.g., publications, patents, or open-source projects) are strongly preferredMust be authorized to work in the United States without the need for visa sponsorship now or in the futureBenefits + Compensation At PitchBookPhysical HealthComprehensive health benefitsAdditional medical wellness incentivesSTD, LTD, AD&D, and life insuranceEmotional HealthPaid sabbatical program after four yearsPaid family and paternity leaveAnnual educational stipendAbility to apply for tuition reimbursementCFA exam stipendRobust training programs on industry and soft skillsEmployee assistance programGenerous allotment of vacation days, sick days, and volunteer daysSocial HealthMatching gifts programEmployee resource groupsSubsidized emergency childcareDependent Care FSACompany-wide eventsEmployee referral bonus programQuarterly team building eventsFinancial Health401k matchShared ownership employee stock programMonthly transportation stipendCompensationAnnual base salary: $260,000-$340,000Target annual bonus percentage: 25%Working ConditionsAt the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens