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Wells Fargo

Principal Product Manager – Client Insights, AI Context Enablement

Wells Fargo

. Define and lead the product strategy and roadmap for a Commercial Banking Sales AI orchestration platform within the Client Insights–CRM product area, driving measurable sales productivity gains .

Posted 5/24/2026full-timeConcord • California, Minnesota, North Carolina, Texas • 🇺🇸 United StatesLead💰 $185,000 - $300,000 per yearWebsite

About the role

Key responsibilities & impact
  • Define and lead the product strategy and roadmap for a Commercial Banking Sales AI orchestration platform within the Client Insights–CRM product area, driving measurable sales productivity gains
  • Build and scale an enterprise Context Engine/AI OS, launching an MVP that powers Client Insights use cases and delivers persistent, context-aware intelligence across client interactions
  • Establish a reusable AI platform foundation adopted across ≥3 priority sales workflows, reducing duplication through shared services and capabilities
  • Partner with Data Science, Engineering, and Data Platform teams to productionize AI/ML capabilities and enable AI at scale with high-quality, governed data
  • Drive cross-functional alignment across Product, Technology, Architecture, Risk, Compliance, and Sales to deliver scalable, compliant solutions and achieve trusted AI adoption
  • Influence senior leadership and external partners as a recognized authority in AI platform strategy and execution, ensuring solutions meet defined quality, governance, and compliance standards

Requirements

What you’ll need
  • 10+ years of Product Management, product development, strategic planning, process management, change delivery, agile product owner experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Proven experience leading platform product strategy, preferably in AI, Data, and CRM (MS Dynamics)
  • Expertise in data management and data platform principles, including governance, metadata, lineage, quality, and secure data access design
  • Strong grasp of knowledge and context layer design
  • Experience applying data science principles within products, including experimentation, model evaluation, and outcome-based measurement
  • Demonstrated ability to build platforms (not just features) that enable reuse, extensibility, and ecosystem growth
  • Strong understanding of AI OS / agentic architecture patterns, including orchestration frameworks, tool integration, evaluation systems, and AI operations
  • Ability to influence across executive stakeholders and drive alignment in complex, matrixed organizations
  • Familiarity with Commercial Banking

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Product ManagementProduct DevelopmentStrategic PlanningProcess ManagementAgile Product OwnerAI Platform StrategyData ManagementData GovernanceData QualityAI Operations
Soft Skills
Cross-functional AlignmentInfluencing StakeholdersLeadershipCommunicationCollaborationChange DeliveryProblem SolvingStrategic ThinkingAdaptabilityNegotiation