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Wells Fargo is seeking a Lead Digital Product Manager
Job Responsibility:
Lead the development and execution of complex digital business plans, programs and initiatives which have impact across the enterprise with broad impact
Act as key participant in large-scale planning
Review and analyze complex digital strategy for product/functionality/experience area
Influence digital strategy for the business line requiring in-depth evaluation of multiple factors including intangibles or unprecedented factors
Make decisions in digital strategy for product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements
Lead a broad team of digital professionals to meet deliverables and drive new initiatives
Strategically collaborate and consult with peers, colleagues and mid-level to senior managers to resolve issues and achieve goals
Potentially lead projects, teams or serve as a peer mentor
Requirements:
5+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of experience in product management, solution management, program delivery, or technical product ownership, with a focus on AI/ML platforms, APIs, and/or cloud-native solutions
4+ years of experience across the AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk controls
2+ years of hands-on experience with public cloud technologies (Google Cloud Platform and/or Microsoft Azure) and container orchestration (Docker, Kubernetes, OpenShift)
Demonstrated experience leading technology governance initiatives related to resiliency, risk management, and regulatory execution within large-scale banking or financial services organizations
Excellent communication and executive presence, with the ability to influence senior stakeholders and translate complex technical concepts into clear, actionable insights
Proven success operating in large enterprise environments—preferably within regulated industries—and building platforms and capabilities at scale
Experience with MLOps and LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt/chain/versioning, evaluation frameworks, guardrails, and monitoring
Working knowledge of enterprise platform components and services such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and large-scale distributed model execution platforms (e.g., NX1 or equivalent)
Proven ability to develop and execute executive-level roadmaps, dashboards, and reporting that clearly demonstrate business impact and risk posture
Strong technical depth, with the ability to dive into APIs, SDKs, security controls, data contracts, and performance and reliability considerations
Strong negotiation, stakeholder engagement, and cross-functional leadership skills, with a track record of driving alignment and execution across teams