Vice President, Product Manager - Asset Management Client Service Experience - Service Assist

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in New York is seeking an experienced Service Assist Product Manager to lead AI-driven strategy and end-to-end execution across business and technology teams. You will mobilize partners to deliver measurable client, operational, and risk outcomes.

You will own the product vision, roadmap, and backlog, champion an AI-first approach, and collaborate with Engineering, Design, and Data Science to drive adoption and impact. Strong stakeholder management is essential.

Qualifications

• Proven hands-on product management with agile practices.
• Strong AI/ML, generative AI, LLMs knowledge and feature translation.
• High data literacy to define metrics and interpret data.
• Experience with AI-assisted no-code/low-code tooling for outputs.
• Understanding of responsible AI governance and risk considerations.
• Excellent communication and stakeholder management.
• Ability to influence and lead cross-functional teams.

Responsibilities

• Define and maintain the Service Assist product vision, strategy, and roadmap.
• Champion an AI-first approach with high-value use cases (generative AI, ML, RAG).
• Lead transformation and change management, driving adoption.
• Partner with Engineering, Design, Data Science, Service Ops, Risk & Controls.
• Run an agile governance, own the backlog, balance scope and timelines.
• Define OKRs and success metrics; use experiments to improve outcomes.
• Establish AI evaluation frameworks, guardrails, and responsible AI compliance.
• Translate AI concepts for senior and non-technical audiences and manage stakeholders.

Skills

Agile product mgmt

AI/ML literacy

Data literacy

Low-code / no-code tooling

Stakeholder management

Cross-functional leadership

Job description

As a Service Assist Product Manager, you will bring strong product discipline and a data-driven, AI-first mindset—spanning generative AI, machine learning, and natural language processing (NLP)—to lead strategy and end-to-end execution across business and technology teams, mobilizing partners to deliver measurable client, operational, and risk outcomes.

Job Responsibilities:

• Define and maintain the Service Assist product vision, strategy, and roadmap, aligned to business priorities, client experience goals, and the firm’s AI ambitions.
• Champion an AI-first approach, identifying and prioritizing high-value use cases for generative AI, machine learning, and intelligent automation—such as intelligent intake and routing, conversational AI and virtual assistants, response generation, summarization, and retrieval-augmented generation (RAG).
• Lead transformation and change management, driving user adoption and operational readiness across servicing teams.
• Partner with cross-functional triad teams—Engineering, Design, and Data Science, alongside Service operations and Risk & Controls—to ensure alignment, clear ownership, and successful delivery.
• Run an agile governance and delivery cadence, and own and prioritize the product backlog, balancing scope, timelines, dependencies, and risk.
• Define OKRs and success metrics—response time, accuracy and quality, automation and deflection rates, risk reduction, and client satisfaction (CSAT)—and use experimentation and A/B testing to drive continuous improvement.
• Establish AI evaluation frameworks, guardrails, and monitoring—covering model accuracy, hallucination and bias mitigation, explainability, and responsible‑AI compliance.
• Translate complex AI, data, and technology concepts into clear narratives for senior and non-technical audiences, proactively managing stakeholders and driving timely decisions and escalations.

Required Qualifications, Capabilities, and Skills:

• Proven, hands‑on product management experience with agile practices—roadmaps, backlogs, prioritization, and iterative delivery.
• Strong conceptual command of AI/ML, generative AI, and large language models (LLMs)—including prompt engineering, retrieval-augmented generation (RAG), and agentic AI—and the ability to translate them into product features such as automation, summarization, intent classification, and intelligent routing.
• High data literacy, with the ability to interpret data, define metrics, and draw sound conclusions across quality, cycle‑time, and adoption measures.
• Ability to use AI‑assisted and no‑code/low‑code tooling to independently produce data‑science‑style outputs—queries, analyses, experiments, and prototypes—without deep hands‑on coding.
• Working knowledge of responsible AI, model evaluation, and AI governance, partnering with Data Science and Engineering on model performance and safe deployment.
• Excellent written and verbal communication, documentation, analytical thinking, and sound judgment.
• Proven ability to influence and lead through others, manage cross‑functional teams, and navigate conflict.

Preferred Qualifications, Capabilities, and Skills:

• Asset Management or financial services experience, and/or experience delivering solutions for a Client Service organization.
• Experience delivering AI/ML, generative AI, or conversational AI products—ideally in client servicing, contact center, or customer inquiry contexts.
• Familiarity with the modern AI stack—LLM platforms, vector databases, RAG pipelines, MLOps/LLMOps, and AI evaluation and observability tooling.
• Experience partnering with UX research and design to improve client journeys; familiarity with knowledge management or client lifecycle operations.
• AI‑driven mindset and a passion for using AI copilots to raise product decisioning, documentation quality, and delivery velocity.