Wells Fargo

Product Manager

• Partner with Product and delivery teams to prioritize execution and delivery of Value-Added Services initiatives, aligned to strategic priorities and outcomes.
• Prioritize the VAS portfolio against platform roadmaps, capacity constraints, and competing enterprise initiatives to maximize value.
• Lead cross-functional discovery and refinement efforts, partnering with Product, Technology, and Operations teams to identify service opportunities, dependencies, and target-state designs.
• Oversee product delivery outcomes, ensuring services progress from concept through delivery in alignment with defined strategy and intended business results.
• Partner with cross-functional teams to resolve strategic dependencies, trade-offs, and alignment issues impacting product outcomes.
• Identify and resolve portfolio-level risks, constraints, and trade-offs, escalating as needed to protect product outcomes.
• Provide clear, concise executive reporting on strategy, progress, risks, and value realization.
• Track and assess outcomes and return on investment (ROI) for deployed services to inform roadmap and investment decisions.
• Continuously evolve VAS product strategy and ways of working, informed by results, feedback, and changing business needs.

Senior Manager – Payments Transformation, Value Added Services Lead

• Support end-to-end product delivery across Payment Services, contributing to roadmap planning, prioritization, and sequencing of platform enhancements and capabilities
• Translate Payments Transformation objectives and product priorities into actionable plans, aligning initiatives, releases, and workstreams to strategic platform outcomes
• Partner with Product and Technology teams to support the design, build, and delivery of scalable platform enhancements across payment capabilities
• Monitor delivery progress and product health, proactively identifying risks, bottlenecks, and constraints impacting platform build and release execution
• Coordinate cross-functional delivery across Product, Technology, Operations, Risk, and external partners to enable integrated, end-to-end platform capability delivery
• Participate in planning and delivery forums (e.g., PI planning, release planning, execution reviews) to drive alignment, readiness, and accountability for platform initiatives
• Communicate product and delivery status, risks, and dependencies clearly to stakeholders and leadership, with focus on platform roadmap progress
• Manage dependencies and execution risks, escalating issues and supporting trade-off decisions aligned to product and platform outcomes
• Contribute to continuous improvement of product and delivery practices, strengthening governance, planning discipline, and ways of working across platform delivery efforts

Lead Product Manager – Payment Services

Manager

• Supervise less experienced roles in transactional tasks and processes to ensure timely completion, quality, and compliance
• Identify opportunities for process improvement and risk control development in less complex functional areas
• Make day to day supervisory decisions and resolve issues related to team supervision, work allocation, and daily operations
• Leverage interpretation of policies, procedures, and compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers as well as interact directly with external customers
• Manage allocation of people and financial resources for Brokerage Support
• Mentor and guide talent development of direct reports and assist in hiring talent

Branch Support Manager

• Support end‑to‑end delivery across Value‑Added Services, contributing to planning, prioritization, sequencing, dependency management, and delivery tracking.
• Translate enterprise and business priorities into actionable Value‑Added Services plans, aligning initiatives, releases, and workstreams to strategic objectives.
• Monitor delivery flow and execution health across Value‑Added Services, identifying bottlenecks, risks, and constraints and partnering with stakeholders to drive resolution.
• Coordinate cross‑functional execution across Product, Technology, Operations, Risk, and external partners to support integrated, end‑to‑end delivery.
• Participate in Value‑Added Services–level planning and delivery forums (e.g., PI planning, release planning, execution reviews) to support alignment, readiness, and accountability.
• Communicate delivery status, risks, and dependencies clearly to stakeholders and leadership, translating complex execution dynamics into actionable insights.
• Track and manage dependencies and execution risks, escalating issues and supporting trade‑off decisions as needed.
• Contribute to continuous improvement of delivery practices, identifying opportunities to enhance planning, governance, processes, and ways of working across Value‑Added Services.

Lead Product Manager – Value Added Services

DevOps Engineer

• Lead complex, broad impact initiatives including provision of high level systems consultation for the technology teams
• Work as key participant in large scale planning of software systems and network infrastructure for Systems Operations functional area
• Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
• Make decisions on technical changes and enhancements
• Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
• Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals.

Lead Systems Operations Engineer

Operations

• Support customer experience by accurately processing and approving teller transactions, sharing digital solutions, and making appropriate introductions to bankers
• Complete operational activities while minimizing risks under established policies
• Perform routine to moderately complex transactional, operational, and customer support tasks efficiently through knowledge of bank procedures and products, as well as partners across the organization
• Support the Branch manager in operational tasks and scheduling
• Resolve issues related to daily operations of the teller line, under direction of regional banking management
• Support customers and employees in resolving or escalating concerns or complaints
• Receive guidance from managers and exercise judgment within defined policies and procedures
• Provide excellent service to customers and individuals by demonstrating care, building relationships, and completing requested transactions
• Identify information and services to meet customers financial needs
• Motivate a diverse team to achieve full potential and meet established business objectives

Branch Operations Coordinator

Data Engineer

• Develop scalable, secure data pipelines from on-premise systems of record to Google Cloud Platform services (BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).
• Leverage and extend capability roadmaps for reusable frameworks and tooling (ingestion, transformation, quality, orchestration) actively being developed by the larger organization.
• Enable self‑service data consumption and governance by standardizing patterns, templates, and sandbox capabilities rather than one‑off pipelines.
• Support use cases for training, validation and monitoring leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
• Create standardized feature transformation pipelines and a common feature store with strong lineage, dictionary and high availability for models.
• Ensure appropriate cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
• Develop transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
• Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
• Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layer implementations with BigQuery or similar tools.
• Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
• Partner with data scientists and domain solution teams to migrate existing models onto GCP capabilities.
• Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.

Senior Data Engineer

Machine Learning Engineer

• Design and implement scalable, secure data pipelines from internal systems of record to Google Cloud Platform services (BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).
• Leverage, extend and advise on capability roadmaps for reusable frameworks and tooling (ingestion, transformation, quality, orchestration) actively being developed by the larger organization.
• Enable self ‑ service data consumption and governance by standardizing patterns, templates, and sandbox capabilities rather than one ‑ off pipelines.
• Design data architectures for training, validation and monitoring of predictive machine learning as well as generative AI solutions.
• Define and implement standardized feature engineering and a common feature store with strong lineage, dictionary and high availability for models.
• Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
• Develop transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
• Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
• Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layer implementations with BigQuery or similar tools.
• Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
• Partner with data scientists and domain solution teams to develop and deliver new model use cases onto GCP capabilities.
• Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.

Lead Machine Learning Engineer

Human Resources

• Ensure consistent, high-quality service delivery across HR operational processes, including employee document fulfillment, data administration, Power of Attorney and subpoena requests, and records compliance using tools such as Workday and ServiceNow
• Lead the design and implementation of new or enhanced processes, procedures, and self-service content, partnering with Product and Technology teams to leverage automation and AI capabilities (e.g., Copilot, Now Assist)
• Act as a subject matter expert to drive team performance and cross-functional effectiveness by providing guidance, resolving complex inquiries, and clarifying end-to-end workflows
• Translate customer feedback and survey results into actionable improvements by identifying trends, driving accountability, and ensuring follow-through across the team
• Perform and oversee complex operational work requiring sound judgment, risk awareness, and thoughtful planning; document decisions and escalate issues as needed
• Execute and oversee specialized HR operational tasks, including records management, reporting, and transactions across HR systems, while ensuring accuracy and compliance
• Lead day-to-day work prioritization and workflow management, assigning and redirecting work, removing blockers, and serving as the first point of escalation for team members
• Coach and mentor team members by providing real-time support, training, and feedback, while modeling strong case management, attention to detail, and customer-focused communication
• Support and strengthen risk and control practices, including participation in control reviews and ensuring data integrity and compliance with established standards
• Identify opportunities to improve processes, tools, and controls through innovation, data analysis, and continuous improvement efforts

Lead HR Service Delivery Representative

• Lead low to moderately complex initiatives and drive continuous improvement across global HR service delivery processes, including employee data administration, document fulfillment, Power of Attorney and subpoena requests, and employee records compliance
• Analyze end-to-end HR workflows to identify opportunities for automation, AI integration, and process optimization that improve scalability, reduce manual effort, and strengthen controls
• Leverage data analytics and AI-enabled tools to assess trends, identify root causes, and recommend risk-aware, technology-enabled solutions
• Partner with operational teams, stakeholders, service delivery partners, and Product and Technology teams to identify, prioritize, and track process enhancements and system improvements across platforms such as Workday and ServiceNow
• Translate business needs into clear, actionable requirements and support the delivery of system enhancements that improve service delivery and user experience
• Develop, refine, and maintain procedures, job aids, and customer-facing content to ensure clarity, consistency, and alignment with scalable, AI-ready solutions
• Analyze customer feedback (e.g., satisfaction surveys) and operational data to identify improvement opportunities that enhance service quality and reduce risk
• Deliver data-driven, insight-led recommendations to address operational challenges and support adoption of new tools, technologies, and process improvements
• Provide subject matter expertise and informal leadership to peers, coaching on process standardization, data interpretation, and use of AI-enabled tools
• Partner with team leads and cross-functional stakeholders to elevate insights, align on priorities, and drive broader organizational improvements

HR Service Delivery Consultant

Vice President

• Prepare, negotiate and track various legal agreements and due diligence items covering commercial real estate transactions with bank counterparties.
• Work on various projects as requested by management.
• Interpret policy when working with legal, credit and the relevant business.
• Review deal terms with customers.
• Identify and mitigate business and legal risks within compliance requirements.
• Identify and recommend opportunities for process improvement.
• Interpret policies, procedures and compliance requirements.
• Collaborate and influence all levels of professionals including more experienced managers.
• Lead a team to achieve objectives.

Vice President – Lead Capital Markets Document Negotiator

• Provide strong, inclusive leadership to build and retain a high‑performing team, establishing clear expectations, and managing performance through targeted coaching to deliver sales, service, and operational excellence.
• Lead a branch team to proactively identify customer financial needs and deliver tailored consumer and business solutions that drive both customer value and business outcomes.
• Use branch manager routines to build individual capability, confidence, and productivity, delivering consistent, high‑impact coaching through observation, feedback, and follow‑up while holding the team accountable to behaviors and outcomes aligned to Wells Fargo priorities.
• Partner closely with internal sales partners to provide customers a comprehensive, coordinated Wells Fargo experience across Wealth & Investment Management, Business Banking, and Home Lending to maximize relationship depth, customer value, and branch performance.
• Identify opportunities for making banking easier for customers through education and demonstration of available digital options.
• Leverage reporting and employee observations to gain insight into strengths and opportunities, taking decisive action to improve team performance and expand primary bank relationships and wallet share.
• Demonstrate ownership by balancing growth, operational soundness, and talent decisions while proactively managing risk, resolving issues, and modeling behaviors that protect customers, employees, and the company.

Branch Manager

Security Engineer

• Design, implement, and maintain secure network infrastructures using Palo Alto Networks, Fortinet, and Cisco routing and switching products.
• Lead and support firewall migration projects, including policy analysis, configuration translation, and deployment using tools such as Expedition, FortiConverter, SmartMove, and other vendor utilities.
• Build and deploy new network security infrastructures, including greenfield implementations and expansion of existing environments.
• Perform security policy reviews, rulebase optimization, and threat prevention tuning to align with best practices and compliance requirements.
• Troubleshoot and resolve complex network security issues across multi-vendor environments, ensuring minimal downtime and optimal performance.
• Collaborate with cross-functional teams (network, cloud, infrastructure, and application teams) to integrate security controls into enterprise architecture.
• Maintain accurate and up-to-date documentation, including network diagrams, configuration standards, and operational procedures.
• Monitor and respond to security events, alerts, and incidents, escalating as necessary and contributing to root cause analysis and remediation.
• Participate in a rotational on-call schedule to provide after-hours support for critical network security incidents and maintenance activities.
• Stay current with emerging threats, vulnerabilities, and technologies to continuously improve the organization’s security posture.

Senior Information Security Engineer – Palo Alto Firewalls

• Act as an advisor to senior leadership to develop or influence digital products, initiatives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across a functional area within the Digital environment
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise
• Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Coordinate highly complex activities and guidance to others
• Provide vision, direction and expertise to senior leadership on implementing innovative and significant digital business plans, programs and initiatives which have significant impact
• Strategically engage with all levels of professionals and managers across the enterprise
• Serve as an expert advisor to leadership
• Demonstrate proficiency in using AI ‑ assisted development and analysis tools (e.g., GitHub Copilot and approved code ‑ centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI ‑ assisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Senior Lead Cloud Identity Product Manager

Bilingual

• Build lasting customer relationships through proactive conversations
• Lead discovery-driven conversations to understand customer needs
• Drive branch growth by identifying opportunities
• Support everyday banking needs, including new account openings
• Perform cash handling and teller line activities
• Demonstrate comfort using and adopting digital tools and technologies
• Deliver accurate, compliant service while exercising sound judgement
• Collaborate with branch teammates to coordinate seamless handoffs