The posting
About this role:
Wells Fargo is seeking a strategic and technically proficient Senior Lead Business Execution Consultant to lead Process Intelligence data and AI platform advancement and enterprise automation modernization.
This business-led role combines data and platform management, GenAI, architecture, process intelligence, and transformation. The leader will own business outcomes, challenge technical recommendations, influence roadmaps, and ensure investments deliver measurable value.
The role partners closely with Product, Technology, Architecture, Data, AI, Cloud, Risk, Compliance, Operations, and executive stakeholders.
The successful candidate will lead the scaling of Process Intelligence ADS as an enterprise data and AI platform by expanding the onboarding of priority use cases and driving broader adoption across the organization. This role is responsible for implementing critical platform capabilities, including governance, metadata management, data lineage, observability, stewardship, and auditability. The individual will establish platform KPIs, executive reporting, operating frameworks, and service governance processes while assessing and prioritizing automation portfolios to develop modernization and migration roadmaps. Success in this position will be measured by the ability to enhance platform adoption, resiliency, scalability, operational transparency, and the delivery of measurable business value.
In this role, you will:
- Act as a Business Execution advisor to leadership to drive performance and initiatives, and develop and implement information delivery or presentations to key stakeholders and senior management
- Lead the strategy and resolution of highly complex and unique challenges related to Business Execution that require solid analytical skills, extensive knowledge of Business Execution, and understanding of business, delivering longer term and large-scale solutions
- Provide vision, direction, and expertise to senior leadership for implementing innovative and significant business solutions that are large scale and cross organizational
- Lead team meetings or steering committee to facilitate decision making and support implementation of recommendations and plans
- Strategically engage with all levels of professionals and managers across multiple lines of businesses and serve as an experienced advisor to the leadership
- Provide direction to a cross functional team using business expertise
- Lead the strategy, roadmap, governance, operating model, and adoption of COO AI Product Data.
- Build scalable data onboarding, ingestion, transformation, retrieval, and consumption capabilities for GenAI, process intelligence, analytics, automation, and reporting.
- Partner with AI Engineering and Data Science to enable responsible, governed enterprise AI capabilities.
- Assess technologies and architecture patterns, including LLMs, RAG, agentic AI, vector databases, knowledge graphs, semantic search, observability, and orchestration.
- Establish data governance, metadata, lineage, observability, auditability, and platform controls.
- Define KPIs, scorecards, adoption measures, and value-realization reporting for executives.
- Modernize automation portfolios from UI-based RPA toward API-driven and intelligent automation.
- Partner across Architecture, Engineering, Product, Data, and Cloud teams to challenge recommendations and influence future-state designs.
- Lead cross-functional execution, communicate investment decisions, and manage risks, dependencies, and stakeholder alignment.
Required Qualifications:
- 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 7+ years of experience in product, data, platform, technology strategy, analytics, or a related discipline.
- 7+ years of experience leading enterprise transformation and delivering data, analytics, AI, cloud, or platform modernization initiatives.
Desired Qualifications:
- Strong knowledge of enterprise data management, governance, metadata, lineage, and cloud data ecosystems.
- Working knowledge of GenAI, agentic AI, LLMs, RAG, vector databases, knowledge graphs, semantic search, API-first architecture, and enterprise automation.
- Proven ability to evaluate technology tradeoffs, challenge architecture recommendations, and partner effectively with Architecture, Engineering, Product, and Data teams.
- Strong executive communication, analytical thinking, stakeholder management, and influence in matrixed organizations.
- Experience with process intelligence, process or task mining, workflow analytics, or operational excellence platforms.
- Experience with cloud data platforms such as GCP, BigQuery, Dataplex, Databricks, or Snowflake.
- Experience deploying or governing GenAI and AI observability capabilities in regulated environments.
- Knowledge of platform product management, Responsible AI, model risk, and enterprise automation platforms.
- Financial services experience or relevant product, project, data, process improvement, or cloud certification.
Job Expectations:
- Ability to travel 5% of the time
- This position offers a hybrid work schedule
- Adherence to in-office attendance expectations
- This position is not eligible for Visa sponsorship
Location:
- 11625 N Community House Rd., Charlotte, NC
- 1525 W. WT Harris Blvd., Charlotte, NC
Posting End Date:
26 Oct 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. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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:
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.
