Job Description

Job Description
Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as Personal Cell or Cellular in the contact information of your application.

At Wells Fargo, we want to satisfy our customers financial needs and help them succeed financially. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

The Enterprise Customer Excellence Group (ECEG) brings together customer-focused functions from across the enterprise to provide a holistic approach to critical points of interaction with Wells Fargo customers. The group, which includes the Enterprise Complaints Management Office, the Customer Remediation Center of Excellence and Net Promoter System, is responsible for understanding the causes of issues that affect customers, and providing solutions that ensure customers needs are understood and supported. The group is also accountable for ensuring regulators expectations are met and that employees have the tools and training necessary for success.

The newly created role of Customer Remediation Exploratory Analytics Leader is a critical role within Customer Remediation COE. This role is fundamental to driving customer remediation plans built on solid assumptions favoring our customers but rooted in a firm understanding of underlying data. To be successful in this role, the individual will possess a strong understanding of how data can be utilized to identify gaps in business strategies, and embrace challenge to untested data assumptions and limitations. This role will require the individual to work closely with stakeholders across the enterprise, in the Lines of Business, the CR COE functions including across CR Analytics and the Head of Customer Remediation Analytics to promote objective, high-quality data discovery activities.

The key responsibilities of this role include:

* Enhance exploratory analytic activities within CR Analytics to ensure comprehensive assessment of all available data sources within the remediation planning phase promote high-quality analytics in the first pass
* Conduct in-depth research within complex data environments to identify data integrity issues, and propose solutions to improve analysis accuracy
* Develop objective analytics-driven measures of data integrity and reliability within customer remediation analytics to drive consistency and completeness of evaluating data assumptions
* Partner with other CR Analytics teams to actively manage inventories of known data sources and data anomalies, and establish standardized methodologies when addressing across remediation efforts
* Maintain close connections with CR Analytics LOB-aligned and functional teams, LOB analytics teams and Enterprise data management teams to continually improve data understanding

Leadership, integrity and credibility will be determining factors in selection. Successful candidates will be articulate and possess a demonstrated leadership capability; they will be impressive in their inter-personal effectiveness and with regard to their accomplishments. This role requires a leader with strong relationship management, influencing, vision, and execution skills. A key differentiator will be the ability to understand and operate successfully in a complex, heavily matrixed corporate environment. This role requires a sense of urgency, passion for results, and personal accountability for achievement.

As an Employee Manager, you are expected to achieve success by leading yourself, your team, and the business. Specifically you will:

* Lead your team with integrity and create an environment where your employees feel included, valued, and supported to do work that energizes them.
* Accomplish management responsibilities which include sourcing and hiring talented employees, providing ongoing coaching and feedback, recognizing and developing employees, identifying and managing risks, and completing daily management tasks.

Required Qualifications
* 8+ years of experience in analytics, modeling, or a combination of both
* 6+ years of management experience; or 6+ years of leadership experience in an advanced quantitative analytics function

Other Desired Qualifications
* Deep experience working with complex data in multiple data systems/fields and LOBs, responding to ad-hoc data requests from key external stakeholders, data science background, forensic analytics, and strong ability for to identify data root cause issues with the ability to create immediate solutions
* Proven experience operating a high functioning shop (e.g. developing/overseeing sustainable practices and procedures, detailed and accurate documentation procedures and repeatability standards, enforcing accountability for high quality work among a large number of analysts)
* Strong analytical skills with high attention to detail and accuracy
* Experience in gathering, analyzing and interpreting large datasets
* Knowledge and understanding of consumer lending data and analytics
* Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
* 10+ years of SQL or SAS experience
* Excellent verbal, written, and interpersonal communication skills
* Virtual leadership experience with ability to effectively drive results, provide feedback/direction, and manage and build relationships with leaders and team members in a geographically dispersed team environment
* Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
* Ability to work cohesively and collaborate with analytic functions throughout the organization
* Expertise in data profiling and research
* In-depth knowledge of business systems (Shaw, AFS, FDR, EIW, BMG, Brickyard, HELMS, HOGAN) and data structure
* Experience in historical data analysis, customer remediation, or regulatory reporting

Job Expectations
* Ability to travel up to 25% of the time

Disclaimer

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.