Product Development Analyst - Fusion Client Success

As a Product Delivery Analyst in the AIML and Data Platform team, you enable the release of products and features by overcoming obstacles. As an emerging member of the team, you work across the organization and enable the product to continuously deliver value, while gaining skills and experience to grow within your role. .

Job responsibilities

• Build and maintain relationship with client to understand their data needs and requirements.
• Serve as the primary liaison for clients, ensuring their needs are met and fostering long-term relationships.
• Lead and coordinate the implementation process, ensuring timely delivery of solutions that meet client specifications.
• Conduct regular client meetings to review progress, gather feedback, and identify opportunities for enhancement.
• Develop and deliver training sessions to empower clients with knowledge of platform features and best practices.
• Create and enable efficiency through the creation of runbooks, as well as document opportunities for process automation.
• Collaborates with the Product Delivery Manager to engage stakeholders and cross-functional partners to manage dependencies and timelines

Required qualifications, capabilities, and skills

• Formal training or certification on Product Development concepts and 1+ years applied experience
• Excellent communication and listening skills with a strong focus on client satisfaction
• Strong at building relationships and working on cross-functional teams,
• Ability to work autonomously, identify and solve problems and know when to escalate issues
• Broad understanding of complex enterprise solutions and architectures, including cloud, data management and APIs
• Functional skills in Python, SQL and other database technologies
• Exposure to operational management and change readiness work-streams

Preferred qualifications, capabilities, and skills

• Basic understanding of financial markets and Securities Services (custody, middle office and accounting)
• Familiar with Data Visualization tools.
• Emerging knowledge of product release and deployment processes
• Experience in Data Science or similar field