
at J.P. Morgan
Bulge Bracket Investment BanksPosted 9 days ago
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**Senior Associate - Data & AI Business Adoption (NY, USA)** - **Role:** Bridge data/AI capabilities with business needs, aligning Fusion adoption with outcomes and funding - **Responsibilities:** - Forge executive partnerships across JPMorganChase businesses/corporate functions - Shape high-impact use-case portfolios, quantify value, and secure sponsorship for delivery - Lead structured discovery, define problem statements, and facilitate workshops - Ensure seamless transitions from sales to implementation, driving continuous improvement - **Requirements:** - 5+ years in FS, enterprise data/AI, or cloud backgrounds - Domain exposure in JPMorganChase businesses/functions, translating needs into data/AI requirements - Strong data/AI concepts foundation, introductory GenAI knowledge, and cloud platform proficiency - Excellent facilitation, communication, and presentation skills
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: NY, United States
Build and deepen executive partnerships across JPMorganChase businesses and Corporate Functions to align Fusion adoption with priority outcomes and funding.
Shape and prioritize a highimpact usecase portfolio, quantify value, and secure sponsorship to accelerate delivery through Fusions cloudnative data and AI capabilities.
Lead structured discovery to define problem statements and facilitate deepdive workshops with Fusion Customer Success and Product to quickly align on the business problem.
Ensure a seamless salestoimplementation 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 timetovalue.
Define and report outcomes tied to business value (e.g., revenue, efficiency, risk reduction, cycletime); drive continuous improvement using adoption and utilization metrics.
5 yrs+ experience in Financial Services, Enterprise Data & AI, Cloud firm.
Domain exposure in one or more JPMorganChase businesses/functions (e.g., asset/portfolio management, retail banking, credit, fraud, or commercial banking), with ability to translate business needs into data/AI requirements with guidance.
Solid foundation in data and AI conceptsdata architecture basics (ingestion, modeling, governance, quality), analytics/ML lifecycle, and familiarity with MLOps/monitoring; introductory knowledge of GenAI and agentic AI patterns and when they may be appropriate.
Strong facilitation and partnering skills to support discovery and deepdive workshops with Business, Customer Success, and Product; able to synthesize inputs into clear problem statements and user stories.
Clear, structured communicationable to explain analyses, align on value hypotheses, and prepare materials for leadership reviews; comfortable presenting with manager support.
Experience supporting prioritization and delivery of a usecase pipeline (e.g., intake, sizing, success metrics, and phased plans), with growing ability to quantify value and define KPIs.
Hands-on experience with modern data/AI tooling and cloud-native platforms; working proficiency in Python and familiarity with GenAI prompting/orchestration tools; exposure to Salesforce
SIMILAR OPPORTUNITIES
Senior Associate - Data & AI Business Adoption
Compensation
Not specified
City: New York City
Country: United States

**Senior Associate - Data & AI Business Adoption (NY, USA)** - **Role:** Bridge data/AI capabilities with business needs, aligning Fusion adoption with outcomes and funding - **Responsibilities:** - Forge executive partnerships across JPMorganChase businesses/corporate functions - Shape high-impact use-case portfolios, quantify value, and secure sponsorship for delivery - Lead structured discovery, define problem statements, and facilitate workshops - Ensure seamless transitions from sales to implementation, driving continuous improvement - **Requirements:** - 5+ years in FS, enterprise data/AI, or cloud backgrounds - Domain exposure in JPMorganChase businesses/functions, translating needs into data/AI requirements - Strong data/AI concepts foundation, introductory GenAI knowledge, and cloud platform proficiency - Excellent facilitation, communication, and presentation skills
Full Job Description
Location: NY, United States
Build and deepen executive partnerships across JPMorganChase businesses and Corporate Functions to align Fusion adoption with priority outcomes and funding.
Shape and prioritize a highimpact usecase portfolio, quantify value, and secure sponsorship to accelerate delivery through Fusions cloudnative data and AI capabilities.
Lead structured discovery to define problem statements and facilitate deepdive workshops with Fusion Customer Success and Product to quickly align on the business problem.
Ensure a seamless salestoimplementation 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 timetovalue.
Define and report outcomes tied to business value (e.g., revenue, efficiency, risk reduction, cycletime); drive continuous improvement using adoption and utilization metrics.
5 yrs+ experience in Financial Services, Enterprise Data & AI, Cloud firm.
Domain exposure in one or more JPMorganChase businesses/functions (e.g., asset/portfolio management, retail banking, credit, fraud, or commercial banking), with ability to translate business needs into data/AI requirements with guidance.
Solid foundation in data and AI conceptsdata architecture basics (ingestion, modeling, governance, quality), analytics/ML lifecycle, and familiarity with MLOps/monitoring; introductory knowledge of GenAI and agentic AI patterns and when they may be appropriate.
Strong facilitation and partnering skills to support discovery and deepdive workshops with Business, Customer Success, and Product; able to synthesize inputs into clear problem statements and user stories.
Clear, structured communicationable to explain analyses, align on value hypotheses, and prepare materials for leadership reviews; comfortable presenting with manager support.
Experience supporting prioritization and delivery of a usecase pipeline (e.g., intake, sizing, success metrics, and phased plans), with growing ability to quantify value and define KPIs.
Hands-on experience with modern data/AI tooling and cloud-native platforms; working proficiency in Python and familiarity with GenAI prompting/orchestration tools; exposure to Salesforce




