Senior Lead Operational Risk Officer - AI Engineering

About This Role Wells Fargo is seeking a Senior Lead Operational Risk Officer

In This Role, You Will

• Provide companywide oversight and governance of an integrated operational risk program or initiative
• Develop and drive innovative operational risk approaches and solutions companywide through an influence model
• Identify potential business operational risks
• Develop and drive innovative operational risk approaches and solutions companywide through an influence model
• Constructively and independently challenge existing risk management fundamentals or assumptions and develop alternative approaches and solutions
• Evaluate long term implications and consequences of strategic business decisions and recommend appropriate alternatives for risk management
• Lead implementation of complex initiatives with high risk, generally spanning multiple business lines
• Consult to the business on corrective action plans and effectively managing change
• Influence and negotiate with executive management and business heads as high-level stakeholders both within and outside Wells Fargo
• Lead initiatives and virtual teams across the organization to deliver companywide business risk management transformations
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
• Lead project or virtual teams and mentor less experienced staff

Required Qualifications:

• 7+ years of Operational Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

**Desired Qualifications:**

• 7+ years of Experience establishing large scale technology platforms
• 3-5 years’ experience in orchestration engines and BPM or Robotic based automation
• 2-4 years’ experience with data warehousing and large-scale databases or similar technologies
• Highly proficient in Python modules, coding best practices, and CI/CD processes
• Strong Database SQL experience and knowledge of ETL processes
• Hands on experience in building integrations via Web Services (REST, SOAP, etc)

**Job Expectations:**

• Drive the vision and execution of AI adoption across Corporate Risk, Control teams and Technology teams through the technology build out and adoption of core technologies
• Focus on understanding business requirements and developing robust technical capabilities to leverage AI and Data to drive tangible insights that drive actions and business outcomes
• Expertise in multiple programming language including (Python, SQL)
• Experience with Generative AI, RAG pipelines, and agentic AI systems
• Practical experience in using LLMs, prompt engineering, vector databases, and orchestration
• Full stack developer with the ability to establish agentic ai workloads using frameworks such as LangGraph, Crew AI, Microsoft AutoGen, LangChain, Chainlit
• Expertise in using AI endpoints to run agentic workflows with tools such as Gemini, Claude, ChatGPT
• Knowledge of Cyber Security, Application Development, Infrastructure is also preferred
• Excellent verbal, written and interpersonal communication skills.
• Ability to present data insights in a clear, concise, and compelling manner to various stakeholders
• Strong analytical skills with high attention to detail and accuracy.
• Ability to interact with all levels of an organization.
• Ability to present complex material in a digestible, consumable manner to all levels of management.
• Broad knowledge of technology risks and the issues faced by financial institutions today.
• Proven experience with managing technology risk issues.
• Experience developing risk metrics and trending reports.
• Ability to synthesize data from a variety of sources and deliver results quickly.
• Leadership experience in driving agile teams, establishing coding-based practices and building solutions in line with business expectations
• Strong ability to lead through influence peers and key stakeholders when driving architectural decisions, solution design, data acquisition strategies, and process re-engineering
• Highly proactive, able to work both independently and within a collaborative team-oriented environment using sound judgment in decision-making.
• Strong organization and detail-oriented skills, with proven ability to manage and prioritize work to meet deadlines despite frequent interruptions.
• Demonstrated ability to work effectively with virtual and/or geographically dispersed teams.

**Posti…