Executive Director, Data & AI Business Adoption

As an Executive Director on the Fusion Business Adoption team within JPMorganChase's firmwide Chief Data & Analytics Office, you will play a hands-on, strategic role in deepening and expanding partnerships across JPMorganChase businesses and Corporate Functions.

You will collaborate closely with Business and Product stakeholders to surface and prioritize high-impact use cases, accelerating delivery through Fusion for JPMorgan-our comprehensive, cloud-native data and AI platform.

You will ensure a seamless, structured handover to the Fusion Customer Success and Product teams by transferring comprehensive customer context-goals, business challenges, and value proposition-to guide implementation and assess product gaps, ensuring information continuity across teams and accelerating time-to-value.

Overall goals:


* Build and deepen executive partnerships across JPMorganChase businesses and Corporate Functions to align Fusion adoption with priority outcomes and funding.


* Shape and prioritize a high-impact use-case portfolio, quantify value, and secure sponsorship to accelerate delivery through Fusion's cloud-native data and AI capabilities.


* Lead structured discovery to define problem statements and facilitate deep-dive workshops with Fusion Customer Success and Product to quickly align on the business problem.


* Ensure a seamless sales-to-implementation handover to Fusion Customer Success and Product, transferring customer goals, challenges, and value proposition to guide implementation and assess product gaps, ensuring information continuity across teams and accelerating time-to-value.


* Define and report outcomes tied to business value (e.g., revenue, efficiency, risk reduction, cycle-time); drive continuous improvement using adoption and utilization metrics.

Qualifications:


* 10 yrs+ experience in Financial Services, Enterprise Data & AI, Cloud firm.


* Domain expertise in one or more JPMorganChase businesses/functions (e.g., asset/portfolio management, retail banking, credit, fraud, or commercial banking), with a track record of translating business needs into data/AI solutions.


* Strong foundation in data and AI-including data architecture (ingestion, modeling, governance, quality), analytics/ML lifecycle, MLOps/observability-with working knowledge of GenAI and agentic AI patterns and their appropriate use cases.


* Proven facilitation skills to lead discovery and deep-dive workshops with Business, Customer Success, and Product; adept at synthesizing complex inputs into clear problem statements.


* Executive communication and storytelling skills-able to align stakeholders, articulate value hypotheses, and secure sponsorship.


* Experience prioritizing and managing a portfolio of use cases with quantified value, clear success metrics, and phased delivery plans.


* Hands-on familiarity with cloud-native data/AI platforms and modern tooling; preferred skills include Python, GenAI, prompt ...