Technology Director – Credit Risk

Wells Fargo

. Lead a global organization of engineering managers, technical leads, and engineers responsible for Credit Risk data platforms, applications, delivery, and production operations .

Posted 10/14/2026full-timeUnited StatesLead💰 $215,000 - $355,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive leadership in technology strategy and execution within Credit Risk and Financial Risk domains, focusing on modern data platforms, regulatory compliance, and operational resilience. Proven ability to manage complex transformation programs and deliver measurable outcomes through effective stakeholder collaboration and innovative engineering practices.

Highest-signal resume keywords

Technology Strategic LeadershipCredit Risk Data ManagementCloud-Ready ArchitectureAI and Automation ApplicationExecutive Communication

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonBig DataSpark/PySparkAPIsData PlatformsData MigrationRisk AnalyticsDevSecOpsContinuous Delivery

Soft Skills

Organizational LeadershipInfluenceVendor ManagementCommunicationTeam Development

Tools & Technologies

Ab InitioSSISMainframe PlatformsDremioMicroservices

Industry Keywords

Credit RiskRegulatory ComplianceOperational RiskData GovernanceTransformation Programs

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaJavaScriptMicroservicesPySparkPythonSparkSSIS.NET

About the role

Key responsibilities & impact

Lead a global organization of engineering managers, technical leads, and engineers responsible for Credit Risk data platforms, applications, delivery, and production operations
Own technology strategy, roadmaps, delivery outcomes, operational health, and investment planning for the assigned Credit Risk portfolio
Maintain business continuity and regulatory readiness across critical legacy platforms while accelerating modernization and decommissioning
Deliver the Credit Risk 360 target state, including platform capabilities, core data models, curated business use cases, modernized workflows, and migration from legacy platforms and portals
Direct delivery for Financial Risk Data, ACL and loss forecasting, and related Credit Risk data and application capabilities
Drive technology-mandated changes, Data Private Cloud and target-state data-platform migrations, application upgrades, vulnerability remediation, resiliency improvements, and retirement of end-of-life technology
Advance AI-enabled engineering and business capabilities, including AI-ready data, semantic layers, automated regression and refactoring, and controlled agentic solutions
Partner with product, Corporate Risk, Finance, architecture, data, operations, controls, audit, and enterprise technology teams to set priorities and resolve dependencies
Manage budgets, workforce plans, vendors, sourcing, and engineering capacity across run-the-business and change-the-business commitments
Establish measures for delivery predictability, data quality, platform health, operational resilience, engineering productivity, risk reduction, and business value
Build a culture of ownership, transparency, technical excellence, succession, and continuous improvement
Oversee design, build, maintenance, and enhancement of enterprise Credit Risk repositories, analytical data services, reporting capabilities, and business applications
Deliver trustworthy, governed, and reconciled data with strong lineage, controls, observability, and auditability
Improve delivery through prioritization, dependency management, release governance, capacity planning, and measurable operational readiness
Protect production stability through incident prevention, recovery readiness, performance and capacity management, vulnerability remediation, and elimination of key-person dependencies
Ensure change commitments meet quality, traceability, control, and supportability expectations before production release
Establish the data layer as the authoritative source for Credit Risk calculations, controls, and reusable business logic
Advance scalable data processing, curated data products, governed semantic access, APIs, and user-centric web experiences
Promote API-first, modular, resilient, and cloud-ready architecture
Drive DevSecOps, automated testing, continuous delivery, platform engineering, site reliability, and engineering-quality measures
Apply AI responsibly for engineering productivity and business enablement with controls, human oversight, and measurable value
Provide leadership across Java, .NET, Python, JavaScript, Big Data, Spark/PySpark, Ab Initio, SSIS, APIs, and mainframe technologies
Lead, mentor, and develop a high-performing global engineering organization
Build partnerships with Credit Risk, Finance, product, data, architecture, controls, audit, operations, and enterprise technology stakeholders
Communicate strategy, priorities, trade-offs, delivery progress, risks, and decisions
Develop engineering managers and technical leaders
Manage budgets, strategic investments, vendor relationships, sourcing models, and workforce plans
Create an inclusive culture encouraging constructive challenge, enterprise thinking, innovation, accountability, and continuous learning

Requirements

What you’ll need

10+ years of Technology Strategic Leadership experience, or equivalent demonstrated through work experience, training, military experience, or education
5+ years of experience leading Credit Risk, Finance Risk, regulatory data, risk analytics, or comparable enterprise risk technology portfolios
5+ years of experience managing critical data repositories and business applications across build, run, modernization, migration, and decommissioning lifecycles
5+ years of experience with modern data platforms, distributed systems, APIs, cloud-ready architectures, security, resiliency, and operational risk
5+ years of experience partnering effectively with product, Risk, Finance, data, architecture, controls, audit, and operations stakeholders
4+ years of management or leadership experience
4+ years of experience leading engineering managers, technical leaders, and enterprise-scale software and data delivery teams
4+ years of experience leading complex transformation programs in a regulated enterprise, including investment planning, capacity management, and executive governance
Deep knowledge of Credit Risk data, allowance and forecasting, risk reporting, or related risk-management processes and controls
Experience modernizing large data and application estates while maintaining regulatory compliance, delivery continuity, and operational stability
Experience with cloud-ready data architecture, lakehouse or distributed data platforms, Spark/PySpark, Dremio or comparable semantic layers, APIs, microservices, and modern web applications
Experience with legacy and enterprise integration technologies, including Ab Initio, SSIS, mainframe platforms, and large-scale batch processing
Demonstrated ability to convert strategy into executable roadmaps, investment choices, measurable outcomes, and sustained delivery
Experience applying AI and automation to engineering delivery, data interaction, or business workflows with appropriate governance and controls
Strong executive communication, influence, financial management, vendor management, and organizational leadership skills
Experience supporting regulatory examinations, audit engagements, technology risk remediation, and control programs
Ability to travel up to 20%

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
Incentive opportunities may be available