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JPMorgan Product Marketing Strategy Lead Vice President-Payments 
United States, New York, New York 
345375213

Today

Job responsibilities
  • Create data flow diagrams, customer journey mapping, etc to clearly map out the requirements and user journey end-to-end.
  • Build robust product requirement documents and set clear scope, test strategies and execution plans.
  • Work very closely with the data scientists and engineers to brainstorm ideas and solve business problems.
  • Design metrics and KPIs to measure your feature/product success, and make sure your team and your stakeholders understand how you are measuring your product success.
  • Test new features, approve launches and engage stakeholders for an early preview.
  • Design and develop launch/roadshow contents, and work with the stakeholders to create platforms to showcase valuable new features.
  • Collect user testimonials and feedback on regular basis and will iterate the product to create incremental business value.
  • Provide clients with a clear vision and communicate your execution strategy through a well-defined roadmap
Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Passion for market instruments and possess strong knowledge of various asset classes, operations, and the instrument life cycle.
  • Experience in cloud computing and architecture, ML platform processes, and tools spanning data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
  • Experience working on projects involving the ML development lifecycle (MDLC), including annotation, model training, model serving, scoring, pre/post-processing, productionization, and feedback capture.
  • Demonstrate, take initiative and proactive hands-on solutions-orientated approach to achieving team goals.
  • Strive and inspire other team members to commit fully to the team's objectives, and contribute to wherever needed to drive results.
  • Ability to convert ambiguous needs into scalable business solutions. Your solutions are driven by logic, reason, and empirical observations.
Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Thorough understanding of Machine learning and how to approach to building a business development plan
  • Demonstrated ability to market products and collaborate amongst customers, stakeholders, and different levels of management
  • Demonstrated ability to explain machine learning governance