Product Owner / Business Analyst

Orios; Philadelphia (Philadelphia County); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Orios is seeking an experienced Product Owner / Business Analyst to join the Reliability Engineering team in Philadelphia. The role blends business and technical perspectives to improve operational efficiency, system reliability, and automation.

You will work with engineers, SMEs, and process owners to define requirements, manage backlogs, and drive AI-enabled improvements across data flows and integrations.

Qualifications

• Knowledge of APIs, integrations, and data flows.
• Experience with data quality, governance, and reporting.
• Background in cloud-based platforms and enterprise systems.
• Familiarity with event-driven or service-based architectures.

Responsibilities

• Identify problems worth solving and translate into requirements.
• Own and maintain product backlogs, priorities, and user stories.
• Lead workshops to understand processes, systems, and pain points.
• Define requirements for new capabilities, integrations, and automation.
• Shaping AI use cases to improve efficiency and insights.
• Clarify data movements across systems and improve data quality.
• Collaborate with development teams throughout delivery to ensure value.
• Ensure delivered solutions address the business problem and deliver measurable value.

Skills

APIs & Integrations

Data architecture

Cloud platforms

Event-driven architectures

Enterprise apps

Data governance

Job description

Engineer Philadelphia,PA Hybrid Full-time Mid Level

About the Role

We're looking for an experienced Product Owner / Business Analyst to join our Reliability Engineering team. This person will work closely with engineers, architects, operations teams, business SMEs, and process owners to help define and deliver solutions that improve operational efficiency, system reliability, and automation.

Responsibilities

• Work with engineers, business SMEs, and process owners to identify problems worth solving and turn them into actionable requirements.
• Own and maintain product backlogs, priorities, and user stories.
• Lead workshops and discovery sessions to understand existing processes, systems, and pain points.
• Partner with technical teams to define requirements for new capabilities, integrations, and automation opportunities.
• Help identify and shape AI use cases that can improve operational efficiency, reduce manual effort, and provide better insights for decision-making.
• Understand how data moves across systems and help define solutions that improve data quality, accessibility, and usability.
• Work closely with development teams throughout the delivery lifecycle to clarify requirements and remove ambiguity.
• Ensure delivered solutions solve the original business problem and provide measurable value.

Requirements

The role requires someone who is equally comfortable discussing process challenges with business stakeholders and diving into system architecture, APIs, data flows, and integrations with technical teams. A strong technology background is important because many of the initiatives involve complex platforms, large-scale data exchanges, and emerging AI capabilities.

• APIs and system integrations
• Data architecture and data flows
• Cloud-based applications and platforms
• Event-driven and service-based architectures
• Enterprise applications and operational platforms
• Data quality, data governance, and reporting

AI Experience

Hands-on AI experience is not required, but the ideal candidate should have exposure to AI-related initiatives and understand:

• How AI solutions depend on quality data and integrations
• Common AI and automation use cases within large organizations
• The lifecycle of AI solutions from idea through implementation
• How to evaluate business value and prioritize AI opportunities