Jobs · OTHR · New York

AI Knowledge Enablement Senior Associate

JPMorganChase · New York, NY · 1 mo ago
On-siteOTHRFull-time

About the role

J.P. Morgan is seeking a talented candidate as an AI Knowledge Enablement Associate in the Commercial & Investment Bank (CIB). The role sits within the CIB's AI Enablement team, reporting into the AI Knowledge Enablement. As an AI Knowledge Enablement Associate within the Corporate & Investment Bank (CIB), you will support the design, delivery and scaling of AI upskilling, awareness and change management initiatives. The role focuses on building foundational AI literacy, helping employees understand where AI is present in their day‑to‑day tools, and enabling responsible adoption of AI capabilities. The successful candidate will also help maintain a central AI Tool Inventory and support a structured communications approach to AI across CIB.

The CIB AI Enablement team drives adoption of AI and accelerates the analytics agenda globally across Markets, Payments, Securities Services, and Global Banking, integrating AI into business workflows to deliver measurable commercial impact. The Chief Data & Analytics Office advances both traditional AI/ML and generative AI capabilities, identifies priorities, focuses on high‑impact AI use cases, sets the GenAI strategy around LLMs and Agentic AI, reuses and scales AI solutions across lines of business, and fosters a culture of innovation and an AI‑first mindset.

About the company

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. With a history spanning over 200 years, the firm is a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management, operating in more than 100 countries.

Responsibilities

  • Support and deliver cross‑CIB AI upskilling initiatives, from design through implementation and continuous improvement, including delivery of AI training to build foundational AI literacy.
  • Support change management activities that promote responsible AI adoption and embed AI into everyday ways of working.
  • Create intuitive and interactive data visualizations to present complex information to stakeholders and ensure data and analytics are accurate to drive decisions and business outcomes for CIB.
  • Conduct analysis to identify gaps in existing AI upskilling and awareness initiatives across CIB, supporting targeted solutions to close gaps and strengthen AI enablement programs.
  • Support a multi‑layered communications strategy for AI across CIB, drafting and refining communications materials (e.g., intranet content, newsletters, leadership talking points).
  • Help track progress and engagement across AI knowledge and upskilling initiatives, reviewing participation, feedback and adoption data to determine where additional interventions are required.

Qualifications

  • Experience in strategy, communications, change management, and/or learning & development.
  • Strong narrative and messaging skills: ability to craft clear storylines, key messages, and executive‑level materials from complex inputs and evolving context.
  • Experience in communications and/or upskilling / learning and development roles.
  • Foundational knowledge of AI / machine learning and generative AI, including basic prompt‑engineering concepts, key risks and responsible AI principles in a regulated environment.
  • Strong verbal and written communication skills, with the ability to translate complex AI, technical and regulatory topics into clear, concise and practical materials.
  • Proven ability to deliver multiple initiatives to conclusion across a diverse group of partners, managing competing priorities and working effectively under pressure.
  • Curious mindset with high tolerance for ambiguity.
  • Strong analytical mindset: comfort using data and qualitative insights to define problems, set success measures, and continuously improve enablement.
  • Proficiency in Microsoft Excel and PowerPoint, including the ability to analyze data and produce clear, well‑structured materials.
  • High level of organization, attention to detail and learning agility, with the ability to quickly assimilate new AI tools, policies and regulatory developments.
  • Bachelor's or Master's degree in a relevant field (or equivalent practical experience).

Pay

Competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

Benefits

  • Comprehensive health care coverage
  • On‑site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
  • Additional benefits and programs based on eligibility

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