Product Director Speech and Voice Ai/ml

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Corporate Sector

Product Director for Speech and Voice AI/ML at JPMorgan Chase, focusing on customer-centric development and shaping the future of voice-enabled Applied AI in banking. This role involves strategic product thinking, stakeholder management, and driving adoption of AI-native ways of working.

What you'd actually do

  1. Build strong, strategic relationships with clients across the firm; you are highly collaborative, can influence senior stakeholders and interface successfully between clients, technology, and data science.
  2. Drive business development by creating and executing a comprehensive commercial plan aimed at growing adoption and pursuing significant commercial impact.
  3. Excel in strategic product thinking and execution, from thinking creatively and making the right bets to managing requirements and being responsible for product outcomes.
  4. Effectively communicate your vision to management, stakeholders, and users. Develop and maintain a clear product strategy and roadmap.
  5. Design metrics and KPIs to measure feature/product success, ensuring your team and stakeholders understand what success looks like and how it’s measured.

Skills

Required

  • product management
  • product development life cycle
  • design
  • data analytics
  • financial markets
  • organizational business functions
  • cross-functional financial business operations
  • interdependencies across business units
  • product life cycle activities
  • discovery
  • ideation
  • strategic development
  • requirements definition
  • value management
  • cloud computing
  • architecture
  • ML platform processes
  • data ingestion
  • data engineering
  • data quality
  • data orchestration
  • end-to-end infrastructure
  • data privacy considerations
  • governance
  • ML development lifecycle (MDLC)
  • annotation
  • model training
  • model serving
  • scoring
  • pre/post-processing
  • productionization
  • feedback capture
  • model governance
  • legal
  • compliance
  • risk
  • ambiguous needs into scalable business solutions
  • logic
  • reason
  • empirical observations
  • team player
  • collaborate across a cross-functional team
  • drive outcomes
  • Exceptional communication skills
  • represent the product effectively with senior stakeholders
  • influence key decision-makers

Nice to have

  • highly matrixed, complex organization
  • operations
  • front office
  • consulting within financial markets
  • JIRA
  • Figma
  • Miro
  • Zeplin
  • design-thinking sessions

What the JD emphasized

  • 8+ years of experience or equivalent expertise in product management or a relevant domain area.
  • 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, feedback capture, and model governance (legal, compliance, risk).

Other signals

  • voice-enabled Applied AI
  • rapid growth
  • shape the future of banking
  • ship products with the highest standards of reliability