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JPMorgan Product Delivery AI/ML/Data Governance 
United States, New York, New York 
962355720

Today
Job responsibilities
  • Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
  • Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
  • Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners
  • Implement MLOps practices for machine learning model compliance.
  • Establish monitoring mechanisms for AI governance compliance.
  • Present updates and recommendations to senior leaders and stakeholders.
  • Stay informed on industry trends and regulatory changes in AI governance.
  • Develop product strategy and vision to deliver customer value.
  • Manage discovery efforts and market research for product roadmap integration.
  • Own and develop a product backlog supporting strategic roadmap.
  • Track product success metrics like cost, risk posture, and reliability.
  • Conduct market research and gather customer feedback for product enhancements.
  • Define product requirements and prioritize features based on impact and value.
  • Partner with marketing and client engagement teams for product launches.
  • Serve as a subject matter expert on AI/ML technologies and trends.
Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product delivery or a relevant domain area
  • Demonstrated ability to execute operational management and change readiness activities
  • Strong understanding of delivery and a proven track record of implementing continuous improvement processes
  • Experience in product or platform-wide release management, in addition to deployment processes and strategies
  • Ability to collaborate effectively across cross-functional teams.
  • Advanced knowledge of product development life cycle and data analytics.
  • Experience with big data technologies, GenAI use cases, and cloud computing platforms.
  • Proven leadership in product life cycle activities and strategic development.
  • Strong analytical skills and ability to manage multiple projects in fast-paced environments.
  • Drive product vision and strategy for AI outcomes; partner with business lines for AI use cases.
  • Technical expertise in retrieval-augmented generation, Python, SQL, and financial services analytics.
  • Exceptional communication and relationship-building skills; experience with cloud services and solution engineering.
  • Proficiency in reporting and analytics tools; experience with program/project management software.
  • Expertise in AI lifecycle, cloud architecture, and LLM solutions.
Preferred qualifications, capabilities, and skills
  • Proficient knowledge of the product development life cycle, design, and data analytics
  • Experience with public cloud platforms like AWS, GCP, Azure.
  • Advanced certifications in AI governance or related fields.
  • Relevant certifications like CISSP, CISA, CRISC.
  • Experience with agile development methodologies and tools.
  • Strong business acumen and ability to translate technical capabilities.
  • Certification in product management or related fields.
  • Experience in Financial Services or regulated industries.
  • Hands-on experience with LLM powered Agentic solutions.