As a Senior Associate - Data & AI Business Adoption within Fusion, you build and deepen executive partnerships across JPMorganChase businesses and Corporate Functions to align Fusion adoption with priority outcomes and funding.
Job Responsibilities:
- 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.
Required Qualifications, Capabilities, and Skills:
- 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 concepts—data 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 deep‑dive workshops with Business, Customer Success, and Product; able to synthesize inputs into clear problem statements and user stories.
- Clear, structured communication—able 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 use‑case 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