Analytics Portolio Manager

In this role, you will: Manage and develop a team of individual contributors in planning, coordinating, and executing data research projects or results oriented intelligence that supports line of business or companywide business objectives Identify and recommend strategies for developing and utilizing technical or analytic resources to enable initiatives that predict, improve, support, and measure business success Interpret and develop strategies that maximize profits or asset growth and minimize credit losses, operating losses and other risk exposures Ensure adherence to data management and data governance regulations, and policies and compliance requirements Collaborate and consult with peers, colleagues and multiple level managers to ensure effective consultation and recommendations based on data analysis Provide leadership to the department in the identification and development of innovative research concepts and designs Work with clients to define issues and information needs and translate them into specific data and technical requirements to support business initiatives and projects Manage allocation of people and financial resources Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience Desired Qualifications: Strong analytical skills with keen attention to detail with ability to draw conclusions and translate findings Advanced Proficiency Microsoft Office (Word, Excel, Outlook and PowerPoint) Conduct DQ Rues Observations Review Meeting with ABOs, TMs and SMEs for dispositioning the observations. Knowledge of Wells Fargo Commercial Banking applications/SORs (iHub, WCDIR, WCIS, LIQ, AIMS, AFS, Lucas, Choice, etc.) Job Expectations: 4+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Expertise in SQL: Profound knowledge and hands-on experience in SQL for complex database queries and data manipulation, analysis, and DQ rules implementation. Experience with extensive data analysis/ review and mapping /transforming data for regulatory reporting schedules like FRY 14Q Schedule H1/H2. Champion a comprehensive data quality framework to ensure high standards of data integrity, consistency, and accuracy across all data systems and processes.