JPMorgan Chase
Senior Manager - Applied Machine Learning - Vice President
Plano, TX +2 · Director · Full-time · Posted Aug 26, 2026
- Location
- Plano, TX
Columbus, OH
Wilmington, DE - Experience
- 8+ years with a master’s degree, or 6+ years with a doctorate (PhD); 5+ years of direct people leadership experience.
- Education
- Master’s degree or doctorate (PhD) in a quantitative field.
- Visa sponsorship
- Not eligible for visa sponsorship now or in the future, including support for I-983 training plans, F-1/OPT, CPT, H-1B, TN, or other employment authorization or immigration-related actions requiring JPMorganChase sponsorship or intervention.
About the job
Leads teams delivering end-to-end machine learning and advanced analytics solutions to complex business problems, from problem framing and experimentation through production deployment and monitoring.
What you'll do
- Define the data science vision, strategy, structure, and roadmap; attract, develop, and retain talent.
- Lead and coach data science teams, including direct reports and potentially other leaders.
- Oversee model development and solution robustness, and communicate recommendations and results to senior stakeholders.
What they ask for
- Master’s degree with 8+ years, or doctorate (PhD) with 6+ years, of data science experience in a quantitative field.
- 5+ years of direct people leadership experience.
- Hands-on experience developing statistical, machine learning, and/or artificial intelligence models; deep understanding of AI/ML theory and model limitations.
- Proficiency in Python, R, or Scala; experience with big-data technologies and basic data table operations such as SQL or Hive.
Nice to have
- Advanced expertise in Time Series, Optimization, or Operations Research; NLP/NLG, Neural Nets, or other ML/AI skills.
- Experience with public cloud technologies such as AWS, Azure, or GCP; experience leading complex cross-functional technical projects.
Tools
Python, R, Scala, Hadoop, Spark, SparkML, SQL, Hive
AI focus
Oversee the design and development of machine learning, artificial intelligence, and statistical models, and lead their end-to-end delivery into production and monitoring.
Model-written summary · the original posting is authoritative