SONIC Product Associate

Bring your expertise to a fast-paced team modernizing client service through data-driven products, close partnership, and strong delivery ownership.
As a Product Owner Associate in Digital Client Services within Markets Operations, you drive structure and discipline across standard delivery artifacts from scope through implementation. You partner closely with business, operations, design, and technology stakeholders to translate client service needs into measurable analytics outcomes. You enable teams to better serve clients by capturing, sharing, and tracking service performance and client experience metrics through the SONIC client analytics product.
Job Responsibilities:

- Partner with line of business data owners to identify and deliver metrics that measure operational service performance and client experience

- Establish clear scope, plans, and delivery artifacts to support end-to-end product execution

- Elicit requirements by quickly understanding internal and external customer needs and documenting outcomes

- Analyze business processes, issues, and risks to inform decisions and prioritize delivery

- Synthesize data collected from multiple sources into concrete metrics and actionable deliverables

- Define data taxonomy and data requirements for functional partners

- Coordinate resources, schedules, and dependencies while managing changes to scope

- Escalate decisions, impediments, and risks to ensure timely resolution and transparency on progress

- Validate deliverables by documenting test requirements, executing testing activities, and confirming readiness

- Prototype solutions rapidly to support experimentation, evaluate impact, and iterate with end-users

- Align with analytics, data science, artificial intelligence, machine learning, and technology teams to support deployment of analytics products

Required qualifications, skills, and capabilities:

- Hold a degree in a quantitative discipline such as engineering or sciences (or similar)

- Demonstrate 4+ years of experience in a financial services organization

- Apply basic to intermediate Structured Query Language (SQL) skills

- Use data analytics tools such as Microsoft Excel, Microsoft Access, Alteryx, and Tableau for business and data analysis

- Engage confidently with artificial intelligence and machine learning partners to support analysis tasks

- Communicate clearly in writing and verbally with varied stakeholder groups

- Build trust by working effectively with non-specialists in a partnership model

- Execute practical data analysis and translate results into measurable business outcomes

- Influence multiple stakeholders without direct authority

- Operate independently with minimal direction while keeping management informed and raising issues as needed

Preferred qualifications, skills, and capabilities:

- Bring experience working in a sell-side financial services environment

- Apply experimental design and rapid delivery approaches to evaluate solutions effectively

- Navigate complex stakeholder environments across business, operations, design, and technology partners

- Contribute to continuous improvement in service measurement and client experience outcomes