Level

Wells Fargo

Head of AI, Innovation and Modeling-India and Philippines

AI in this role

Lead a global team of data scientists and engineers developing predictive, generative, and agentic AI models for financial services.

pythongenaiagentic-ai
machine-learningartificial-intelligencemodel-developmentrisk-managementleadership

About this role:


Wells Fargo is seeking a Head (Director) of AI, Innovation and Modelling

AI, Innovation, and Modelling (AIM) group within the Chief Operating Office (COO) Data Analytics and Reporting (DAR) team provides AI model development services across the organization. The team is comprised of data scientists developing predictive, generative, and agentic AI models and high impact transformative solutions as a Model Development Center (MDC), established by Model Risk Management (MRM) policy.


The AIM team is split across the US and India. In the matrix structure, teams in India have functional alignment to US leads and local reporting to the India AIM leader. The AIM India leader will also have functional ownership for specific initiatives within AIM.


The ideal candidate will have a proven track record in deep AI solutions in a large financial services company, experience in generative and agentic AI and other advanced analytic areas across machine learning and data science, a strong risk and control orientation, a “builder” mentality, experience leading large teams, player-coach work style, experience in AI and ML solution development, ability to tell a story using data, and an ability to work with a broad number of stake holders.


In this role, you will:

  • Partner across the enterprise to anticipate business needs and identify advanced analytics and AI opportunities that improve the effectiveness and efficiency of COO
  • Evaluate, recommend, and implement strategies for developing and using modeling resources to improve business fundamentals, advance new initiatives, and measure outcomes
  • Help drive the Technology initiative book of work for the AI, data, analytics, and reporting roadmap
  • Participate in the community of practice across Wells Fargo’s analytics, AI, and reporting teams
  • Interpret and develop a range of policies and procedures to drive continuous advancement of the state of analytics and data science
  • Allocate people and financial resources, and develop talent to meet business objectives and strategy
  • Directly managing the team in India and co-lead the functional AIM portfolio of work
  • Manage complex organizations that develop predictive, generative, and agentic models including Artificial Intelligence and Machine Learning
  • As a member of the AIM leadership team, participate in setting strategy and vision for the group, including the development and execution of AI and GenAI initiatives to deliver transformative business value
  • Lead highly skilled quantitative analysts and managers responsible for the end-to-end lifecycle of model development, from opportunity discovery through production implementation and value realization
  • Manage model and operational risks

Required Qualifications:

  • 10+ years of Quantitative Analytical 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
  • 8+ years of experience in predictive, generative, and agentic AI advancements in banking and financial services domain
  • 4+ years of AI/ML leadership and modelling experience in translating innovation into timely execution and high impact business outcomes

Desired Qualifications:

  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, accounting, finance, economics, or computer science
  • Demonstrated experience leading large, regionally distributed teams, building strong capabilities, sustaining engagement, and managing talent pipelines and succession
  • Functional depth and experience in data, analytics and reporting – working knowledge of tools, techniques, approaches, experience working in complex data environments.
  • Proven ability to collaborate with executives, data scientists, and engineers; build partnerships; influence stakeholders; align AI objectives with business priorities; and drive execution in large, complex matrixed organizations
  • Strong risk and control orientation and experience managing model risk
  • Commercial orientation, strong business acumen, and good judgement
  • Analytics and reporting product management experience
  • Strong communication and interpersonal skills, and ability to tell a story with data and translate technical concepts for general managers

Posting End Date: 

7 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.

How we rate this

Head of AI, Innovation and Modeling-India and Philippines at Wells Fargo rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

Machine LearningArtificial IntelligenceModel DevelopmentRisk ManagementLeadershipPythonGenaiAgentic AI

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where artificial intelligence was part of your work. What did you do?
  3. Tell me about a project where model development was part of your work. What did you do?
  4. Tell me about a project where risk management was part of your work. What did you do?
  5. Tell me about a project where leadership was part of your work. What did you do?

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  • List these exact terms on your resume: Machine Learning, Artificial Intelligence, Model Development, Risk Management, and Leadership. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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