Technical Director – Process Intelligence Data Platform

Role Overview

• Define the multi-year technical strategy for the process intelligence data platform, aligning platform capabilities with enterprise priorities in process mining, compliance, AI governance, and operational efficiency
• Lead the design and build of a scalable, multi-layered data architecture encompassing storage, semantic and relationship modeling, and AI-ready data layers on cloud infrastructure
• Design and deliver enterprise data lineage capabilities that trace data from source systems through transformation to consumption, and build automated data catalog generation to enable discoverability, impact analysis, and regulatory transparency
• Define and deliver governed data serving APIs that provide secure, performant, and well-documented access to curated datasets, knowledge graph queries, and AI-ready features for downstream consumers (analytics, AI/ML models, compliance tools)
• Define and deliver reusable platform services for state management, task orchestration, checkpointing, event logging, tool invocation traces, replay, evaluation datasets, and human-in-the-loop controls to support reliable production AI workflows
• Drive the technical integration of diverse operational data domains—including work execution data, process and procedure knowledge, workflow and operational systems, and AI agent observability data—into a unified, interconnected data model
• Recruit, develop, and lead a team of data engineers, knowledge graph engineers, ML engineers, and platform engineers; establish engineering standards, delivery practices, and a culture of technical excellence
• Collaborate with Process Intelligence leadership, Risk, Compliance, Operations, and AI Governance stakeholders to define data requirements, access models, and platform SLAs
• Establish data governance frameworks including curated ingestion, validation, end-to-end lineage tracking, access controls, and data quality monitoring to ensure the platform is a trusted, enterprise-approved data source
• Drive cloud-native architecture decisions on GCP and ensure cost-effective, scalable, and secure platform operations
• Ensure the platform provides high-quality, contextualized data that supports knowledge discovery, semantic search, entity extraction, process mining, and GenAI applications

Requirements

• 10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of management or leadership experience
• 3+ years of hands-on architecture or leadership experience with cloud data platforms (GCP preferred)
• Experience designing platform services for AI workflow orchestration, state management, observability, evaluation, or controlled human review
• Experience with vector databases, embedding pipelines, and AI-ready data infrastructure
• Familiarity with AI agent observability, AI governance, and responsible AI frameworks
• Demonstrated experience building or leading the build of knowledge graphs, graph databases, or semantic data layers at enterprise scale
• Experience designing entity extraction and NLP/LLM-powered data enrichment pipelines
• Experience building data lineage systems, automated data catalog generation, and governed data serving APIs
• Strong understanding of data governance, data quality, and enterprise data product frameworks in regulated industries
• Track record of delivering complex, multi-team data platform programs in large enterprises
• Experience with process mining, process intelligence, or operational analytics platforms
• Expertise in graph database technologies, ontology design, and semantic modeling
• Experience designing and operating data catalog platforms and metadata management systems
• Experience building API-first data platforms with well-governed data serving layers
• Experience building data platforms that serve both analytics and AI/ML workloads
• Background in financial services, operations, risk management, or compliance domains
• Experience with streaming architectures for real-time data integration
• Strong executive communication skills; experience presenting to SVP+ audiences
• MBA or advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Engineering, or related field.

Tech Stack

• Cloud
• Google Cloud Platform

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement