Technical Director – Process Intelligence Data Platform

About the Role

Wells Fargo is seeking a Technical Director to lead the development and delivery of a centralized governed data and intelligence platform that unifies operational behavioral and procedural data across the bank into a single analytics- and AI-ready ecosystem. This platform is the enterprise foundation for process visibility optimization risk management and AI enablement including the state orchestration observability and governance capabilities required for production AI workflows.

This is a leadership role. You will own the end-to-end technical strategy architecture and delivery roadmap for the platform. You will build and lead the engineering teams responsible for data ingestion storage knowledge representation data cataloging lineage governed data access via APIs and reusable agent harness services such as task state checkpoints tool traces and human review events. You will partner with senior technology and business stakeholders to ensure the platform meets enterprise-wide needs for process intelligence compliance and AI-powered decision-making.

What Youll Do

• Technical Vision & Roadmap: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

• Data Platform Architecture: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

• Data Lineage & Catalog: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

• Data Serving APIs: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)

• Agent Harness Enablement: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

• Data Domain Integration:Drive the technical integration of diverse operational data domainsincluding work execution data process and procedure knowledge workflow and operational systems and AI agent observability datainto a unified interconnected data model

• Team Leadership: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

• Stakeholder Partnership:Collaborate with Process Intelligence leadership Risk Compliance Operations and AI Governance stakeholders to define data requirements access models and platform SLAs

• Data Governance & Trust: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

• Cloud Engineering:Drive cloud-native architecture decisions on GCP and ensure cost-effective scalable and secure platform operations

• AI Enablement:Ensure the platform provides high-quality contextualized data that supports knowledge discovery semantic search entity extraction process mining and GenAI applications

Required Qualifications:

• 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)

Desired Qualifications

• 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

Job Expectations and Core Values:

• Be Humble:Youre smart yet always interested in learning from others.

• Work Transparently:You always deal in an honest direct and transparent way.

• Take Ownership:You embrace responsibility and find joy in having the answers.

• Learn More:You regularly self-educate and improve your skill set.

• Show Gratitude:You show appreciation and respect to those you work with.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance skills experience or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit Market Financial Crimes Operational Regulatory Compliance) which includes effectively following and adhering to applicable Wells Fargo policies and procedures appropriately fulfilling risk and compliance obligations timely and effective escalation and remediation of issues and making sound risk decisions. There is emphasis on proactive monitoring governance risk identification and escalation as well as making sound risk decisions commensurate with the business units risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.