Principal Technical Program Manager - Ai/ml Engineering

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Corporate Sector

Principal Technical Program Manager for JPMorgan Chase's AI/ML Data Platforms team, focusing on driving the delivery of complex AI/ML technology projects and programs. This role requires strong technical program management, leadership, stakeholder management, and a deep understanding of the AI/ML data ecosystem and product lifecycle to achieve business goals within a regulated financial environment.

What you'd actually do

  1. Develop and implement strategic technical program plans, aligning with organizational goals and cross-functional collaboration
  2. Oversee complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks
  3. Foster strong relationships with stakeholders, clients, and cross-functional teams, providing direction and defining decision-making procedures for beneficial outcomes
  4. Guide the selection and implementation of appropriate technologies, platforms and software tools leveraging advanced technical fluency
  5. Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies

Skills

Required

  • 7+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations
  • Demonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutions
  • Advanced analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives
  • Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments
  • Advanced expertise in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectives

Nice to have

  • Proven ability to navigate tight deadlines, organize and prioritize work, while effectively managing the dynamic landscape of AI
  • Experience or exposure in the AI ML, Data ecosystem space
  • Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring
  • Microsoft (Azure AI Engineer Associate), Google (Professional Machine Learning Engineer), Amazon (AWS Certified AI Practitioner), AWS Cloud Practitioner Certification, or Microsoft Azure Fundamentals certifications
  • Experience with controls, compliance, and audit

What the JD emphasized

  • AI/ML Data Platforms team
  • AI initiatives
  • AI ML, Data ecosystem space
  • AI and data product lifecycle
  • dynamic landscape of AI