Senior Lead Process Engineer - Dallas
2 days ago

Job description
Why Wells FargoAre you looking for more? Find it here.
At Wells Fargo, we're more than a financial services leader - we're a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed.
We believe that a meaningful career is much more than just a job - it's about finding all of the elements to help you thrive, in one place.
Living the Well Life means you're supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You'll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join usAbout This Role
Wells Fargo is seeking a Senior Lead Process Engineer within the COO AI Center of Excellence.
This role focuses on defining and scaling the enterprise Observe-to-Agent (O2A) strategy, leveraging advanced observation, process intelligence, and agentic AI capabilities to uncover, assess, and enable high-value transformation opportunities.
The position plays a critical role in shaping the O2A operating model, guiding enterprise adoption of Agentic AI, and integrating workforce and process analytics to build scalable, repeatable solutions that enhance operational efficiency and long-term business value.
In This Role, You WillO2A Strategy & Operating Model
Define enterprise strategy for O2A observation, optimization, and agent generation.
Build O2A operating model including governance, lifecycle stages, roles/responsibilities, and prioritization framework.
Determine scalable implementation pathways for persona coverage, behavioral insights, and continuous optimization loops.
Agentic AI Strategy
Define strategic roadmap for enterprise Agentic AI adoption (autonomous workflows, memory, planning, tool-use architectures).
Lead governance and Responsible AI practices for agentic systems.
Drive advanced knowledge graph, ontology, and Neo4j-based reasoning models to underpin Agentic AI.
Enterprise Workforce & Process Analytics Strategy
Define enterprise view for workforce analytics using O2A, SKAN, Celonis, behavioral modeling, and productivity insights.
Identify where to deploy SKAN vs. Celonis vs. O2A based on maturity, process type, and data availability.
Develop enterprise benchmarks, KPIs, and operating constructs for productivity, behavior analytics, and cognitive load mapping.
AI/Automation & Long-Range Transformation Strategy
Partner with AI, IA, Data, Operations and Technology leaders to align multi-year roadmap.
Develop business cases for large-scale agent deployment derived from observed tasks.
Govern intake, prioritization, and sequencing across businesses and functions
Thought Leadership & Executive Influence
Represent O2A/Agentic Strategy in senior forums (COO, AI, Ops leadership).
Lead enterprise-wide experimentation agenda, capability scaling, and innovation cycles.
Promote continuous discovery, measurement, and feedback loops.
Required Qualifications:
7+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
7+ years in transformation strategy, AI/Automation strategy, or enterprise process domains.
Prior experience building multi-year roadmaps or operating models at enterprise scale.
Ability to design enterprise-wide operating models, governance, and lifecycle frameworks.
Expertise in synthesizing behavioral, process, and task-level analytics into strategy.
Strong AI fluency (LLMs, Agentic AI, knowledge graphs, ontology, autonomous systems).
Proven ability to influence senior executives and drive enterprise change.
Excellent communication, change-management, and storytelling capabilities.
Job Expectations:
This position is not eligible for Visa sponsorship.
Ability to work on site in a hybrid role.
Fully remote work locations are not available for this role.
If you are not in a location listed on the posting, you must commit to relocation within an agreed upon timeframe.
Posting End Date:
24 Feb 2026
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 unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities.
Applicants With Disabilities
To request a medical accommodation during the application or interview process, visit Disability 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
Third-Party recordings are prohibited unless authorized by Wells Fargo.
Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Reference Number
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