Technical Director – Process Intelligence Data Platform

Wells Fargo

Technical Director leading the development of a centralized data platform at Wells Fargo. Unifying operational data for process intelligence, risk management, and AI enablement.

Posted 5/28/2026full-timeIrving • California, New Jersey, North Carolina, Texas • 🇺🇸 United StatesLead💰 $215,000 - $355,000 per yearWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata lineageAPI designcloud data platformsAI workflow orchestrationvector databasesentity extractionNLPdata governancesemantic modeling

Soft Skills

technology strategic leadershipteam leadershipexecutive communicationcollaborationtechnical excellencedelivery practicesculture buildingstakeholder engagementimpact analysisorganizational skills

Certifications

MBAM.S. in Computer SciencePh.D. in Data SciencePh.D. in Engineering