Product Senior Associate, Trust & Security Data
Listed on 2026-08-13
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IT/Tech
Business Systems & Technology Analysis, AI Business & Operations, IT Business Analyst, Information Security & Data Protection -
Business
Business Systems & Technology Analysis, AI Business & Operations
Join a team where your analytical and organizational skills directly contribute to protecting millions of customers. In this role, you'll work at the intersection of product, engineering, and data - helping build the infrastructure that powers real-time fraud detection and risk decisioning. You'll grow your product craft in a fast-paced environment that values execution, collaboration, and impact.
As a Product Associate Senior Associate in Trust & Security, you will support the product team responsible for data modernization across Chase's Trust & Security data ecosystem. You will help maintain product artifacts, gather and document requirements, track delivery progress, support stakeholder routines, and contribute to the execution of a next-generation data platform on AWS - working across Product, Engineering, Architecture, Operations, Risk, and Controls to support scalable capabilities that strengthen fraud detection, decisioning, and customer protection.
Jobresponsibilities
- Support product managers in executing the Trust & Security data modernization roadmap by documenting priorities, delivery milestones, adoption measures, and key dependencies.
- Assist assigned product work streams through discovery, requirements gathering, backlog refinement, delivery tracking, launch readiness, and post-launch measurement.
- Coordinate with Product, Engineering, Architecture, Operations, Risk, and Controls partners to track dependencies, risks, readiness criteria, and migration-related follow-ups.
- Analyze operational, stakeholder, and platform inputs to identify product improvement opportunities, adoption trends, delivery gaps, and areas requiring escalation.
- Maintain product artifacts including roadmaps, requirements, status updates, success metrics, meeting notes, action trackers, and decision logs.
- Document technical, operational, regulatory, and control requirements in partnership with product managers and cross-functional stakeholders to support delivery planning and adoption readiness.
- Support readiness planning with platform owners and operations teams by tracking parity needs, non-functional requirements, operational controls, and runbook inputs.
- Coordinate delivery activities for next-generation platform capabilities that improve access to trusted, governed, real-time signals for fraud detection and decisioning use cases.
- Support documentation of shared data contracts, data quality expectations, freshness targets, lineage needs, and governance standards in partnership with Engineering, Architecture, and data owners.
- Track product health, adoption progress, delivery milestones, consumer onboarding, migration readiness, and open dependencies, preparing updates and escalation materials for product leadership.
- 3+ years of experience in product management, technology delivery, data analysis, business analysis, operations, risk, or financial services technology.
- Working knowledge of the product development life cycle, including discovery, requirements documentation, backlog support, delivery tracking, launch readiness, and performance measurement.
- Ability to gather, organize, and translate customer, business, technical, and control needs into clear documentation, user stories, acceptance criteria, and delivery tracking materials.
- Experience coordinating across cross-functional teams and supporting stakeholder routines with Product, Engineering, Architecture, Operations, Risk, Controls, and business partners.
- Bachelor's degree or equivalent experience.
- Experience supporting modernization, migration, platform delivery, or technology change initiatives, including dependency tracking and readiness coordination.
- Familiarity with data platform concepts such as real-time data, cloud platforms, data quality, lineage, governance, reporting, and product analytics.
- Understanding of controls, data governance, regulatory considerations, data quality, issue management, and risk-aware delivery practices.
- Strong organizational skills, attention to detail, analytical thinking, and ability to manage multiple priorities in a fast-paced, matrixed environment.
- Strong written and verbal…
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