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Product Owner – Retirement Services & API Modernization

JMD Technologies Inc. · Austin, TX

Spotted 5d agoFull-time

Job details

Work mode
On-site
Employment
Full-time
Level
Senior
Experience
10+ years
Posted
Oct 5, 2026
Last confirmed open
Oct 6, 2026
Job description

About this role

About the Job

Title:

Product Owner – Retirement Services & API Modernization

Location:

Austin, TX – Onsite

Employment Type:

Full-time / Permanent

Status:

Accepting Candidates

About the Role

Seeking an experienced

Product Owner

with strong knowledge of

U.S. retirement services and 401(k) products

to lead product discovery, backlog development, and modernization initiatives. This role will bridge business requirements and technical delivery across APIs, microservices, domain capabilities, and legacy systems.

Key Responsibilities

  • Partner with business and technology stakeholders to define

product goals, priorities, roadmap increments, sprint outcomes, and acceptance decisions

.

  • Own and continuously refine

epics, features, user stories, technical enablers, acceptance criteria, dependencies, and non-functional requirements

.

  • Lead retirement-domain discovery and translate

401(k) business rules, customer journeys, data requirements, plan variations, and exception scenarios

into actionable backlog items.

  • Collaborate with architects and engineering teams to define

bounded contexts, domain language, aggregates, entities, value objects, domain events, and capability-aligned APIs

.

  • Define API consumer requirements, business operations, payload expectations, validations, error handling, versioning, service levels, and channel acceptance criteria.
  • Analyze

legacy code, stored procedures, interfaces, and existing APIs

to connect established business rules with target-state domain capabilities.

  • Facilitate

backlog refinement, sprint planning, sprint reviews, and stakeholder discussions

, providing timely clarification to delivery teams.

  • Leverage approved

AI and generative AI tools

to accelerate business-rule discovery, user story development, Gherkin scenarios, documentation, and requirements traceability.

  • Validate AI-generated content with appropriate

business and technical subject matter experts

and maintain accountability for product decisions.

  • Communicate

scope, priorities, risks, dependencies, trade-offs, and delivery progress

clearly to stakeholders and leadership.

Required Experience & Skills

  • 10+ years

of experience in product ownership, business analysis, or technology delivery, including

5+ years as a Product Owner, Proxy Product Owner, or Lead Business Analyst

.

  • Strong knowledge of

U.S. Retirement Planning / Retirement Plan Services

, with demonstrated experience in the

401(k) domain

.

  • Hands-on experience with

API modernization, microservices, API-led transformation, or domain-driven capability initiatives

.

  • Working knowledge of

Domain-Driven Design (DDD), Agile/Scrum, backlog management, and behavior-driven acceptance criteria

.

  • Ability to understand and discuss

REST APIs, JSON payloads, integration flows, error handling, dependencies, and technical architecture documentation

.

  • Practical experience using

enterprise AI assistants or generative AI

for requirements analysis, documentation, testing, or software delivery.

  • Strong

facilitation, stakeholder management, analytical, written communication, and presentation skills

.

Preferred Technical Knowledge

  • .NET / C#, RESTful services, microservices, and clean architecture

.

  • Event-driven integration, messaging, SQL, and stored-procedure-based business logic

.

  • BDD/Gherkin, automated API testing, CI/CD, security, resiliency, and observability

.

  • Cloud and enterprise platform concepts supporting

modern API and application delivery

.

Success Measures

  • Maintain a

decision-ready backlog

with clear and testable acceptance criteria before sprint commitment.

  • Reduce

delivery delays, story carryover, and rework

resulting from unclear requirements.

  • Map validated

401(k) business rules

to reusable domain capabilities and channel use cases.

  • Demonstrate measurable improvements from

AI-enabled workflows

in areas such as cycle time, quality, traceability, or test coverage.

  • Provide clear stakeholder visibility into

priorities, risks, dependencies, and delivery outcomes

.

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