Wells Fargo-posted 7 months ago
$144,400 - $300,000/Yr
Full-time • Senior
Springfield Township, NJ
Credit Intermediation and Related Activities

Wells Fargo is looking for a dynamic leader to spearhead the Commercial Bank's data warehousing and analytics domain. This critical role will drive our cloud migration journey, streamline our data landscape, enhance controls, and monetize data through actionable insights. The successful candidate will oversee data assets, collaborate with technology teams, and manage stakeholder relationships with data consumers, ultimately driving revenue and deepening client relationships.

  • Lead teams by making strategic decisions to resolve highly complex issues to meet higher risk deliverables
  • Interpret and develop business strategy and range of policies and procedures for defined areas to improve data consistency and controls
  • Ensure appropriate staffing and organizational structures for defined area
  • Identify opportunities and strategies for process improvement and manage the functional budget
  • Collaborate and influence decision-making at all levels of professionals including senior leadership
  • Partner with the revenue areas to improve efficiency, effectiveness, productivity, or controls
  • Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives
  • Develop and guide a culture of talent development to meet business objectives and strategy
  • Develop the Go-To cloud strategy and execute upon it with excellence
  • Advocate and embrace an AI-First mindset, with usage of genAI, ML models, and Agentic AI solutions, to enable goals around revenue growth and deepening existing relationships
  • As the product owner, own and curate the product offerings and partner with aligned technology teams, to deliver outcomes.
  • 8+ years of Data Management, Business Research, Analytics, or Project Management or leadership 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' experience with Big Data Technologies, Data Warehousing, Data Lakes, or managing Data at Scale on prem and on the public cloud
  • 5+ years' experience with Public, Private, Hybrid Cloud - preferably Google Cloud (GCP) and/or Azure
  • 5+ years of experience with large scale data migration from on prem to the Cloud, preferably GCP
  • 8+ years of management or leadership experience
  • Certifications in GCP or Azure data warehousing platforms, eg BigQuery, Looker, Gemini LLM models
  • Hands on Experience with diverse data platforms including Teradata, Oracle, SQL Server, Big Query, Hadoop MapR
  • Hands on Experience with diverse BI stacks, such as Tableau, Power BI or Looker
  • Experience with analysis and implementation of Cloud-first vs on prem strategies
  • Experience establishing and maturing data management metrics programs
  • Successful experience leading data strategy execution including: establishing leadership support, building stakeholder network, forming and collaborating with a team, defining execution roadmaps, establishing a cadence of execution, and operational/organizational process design and transition planning
  • Experience leading corporation through transition of data assets and analytics to the cloud including: Cloud Business Model Definition, outlining Product/Services, operating model, Defining migration strategy and approach, Collaborating on current and target reference architecture, defining a financial cost allocation model, defining user Enablement Strategy, Plan and Approach
  • Experience with risk management and working in highly regulated industries, financial industry experience preferred
  • Innovative mindset, comfortable in operating in nebulous environments and defining structured approaches
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
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