Location
Remote (United States)
Employment
Contractor
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.
Overview
Company
Impact
Profile match
ProArch is an IT consulting and services company and Microsoft partner that helps enterprises adopt cloud, data and AI technologies. It delivers generative AI and Microsoft 365 Copilot projects, Azure cloud services, responsible AI practices, managed cybersecurity and application development, with delivery centres in India including Hyderabad and Chennai. The company is headquartered in Alpharetta, Georgia, United States.
Partner Discovery & Requirements Analysis
- Lead and document working sessions with clinical, finance, operations, product, and technical stakeholders to understand existing workflows, business rules, data requirements, and operational processes.
- Translate manual and system-supported workflows into structured business and functional requirements.
- Produce gap-analysis documentation mapping current-state processes and partner requirements to existing platform capabilities.
- Classify requirements based on appropriate disposition, such as existing functionality, configuration, new development, acceptable operational workaround, shared platform enhancement, or out of scope.
- Maintain a consistent backlog structure across implementations so requirements remain comparable, traceable, and reusable.
System Reconciliation & Technical Analysis
- Analyze application logic, SQL, stored procedures, configuration parameters, integrations, and data flows to understand existing system behavior.
- Determine whether business requirements can be satisfied through configuration, existing functionality, process changes, or new development.
- Validate assumptions about platform behavior against available technical evidence and distinguish confirmed system behavior from inferred behavior.
- Identify discrepancies between documented behavior, stakeholder expectations, system configuration, and implemented logic.
- Trace business rules to underlying parameters, data elements, calculations, integrations, and system components.
- Identify where behaviors are configurable versus hardcoded and assess the impact on future implementations.
Requirements Authoring
- Write clear business and functional requirements, user stories, acceptance criteria, assumptions, dependencies, open questions, and proposed workarounds.
- Maintain appropriate separation between business-facing requirements and technical implementation details.
- Ensure acceptance criteria reflect the agreed solution approach, including configuration changes, operational workarounds, or new functionality.
- Apply a consistent standard for distinguishing standalone requirements from assumptions, configuration decisions, implementation details, or operational procedures.
- Maintain traceability from business need through solution decision and development implementation.
Cross-Functional Facilitation & Governance
- Facilitate requirements, solutioning, and review sessions across business, clinical, product, engineering, data, and operational teams.
- Drive open questions toward resolution and update requirements and documentation to reflect confirmed decisions.
- Identify ambiguity, conflicting requirements, downstream impacts, and cross-feature dependencies before development begins.
- Prevent scope drift and ensure implementation-specific requirements do not unintentionally become platform-wide requirements.
- Support prioritization and decision-making by clearly communicating business impact, implementation complexity, dependencies, and risk.
Ticket Creation & Scoping
- Translate approved requirements into development-ready tickets containing problem statements, user stories, functional scope, acceptance criteria, dependencies, assumptions, and open questions.
- Partner with engineering and architecture teams to clarify technical scope and implementation approach.
- Track dependencies across features, integrations, implementations, and shared platform capabilities.
- Identify common capabilities that can support multiple clients, workflows, or future implementations rather than creating one-off solutions.
Requirements
- 8+ years of experience as a Business Analyst, Technical Product Manager, Product Owner, or equivalent role in a software-, data-, or technology-driven environment.
- Experience working within healthcare technology, healthcare operations, payer/provider systems, pharmacy, claims, revenue cycle, eligibility, or related healthcare domains.
- Ability to understand and reason about SQL, data structures, system logic, APIs, configuration, and technical workflows well enough to validate platform behavior and collaborate effectively with engineering teams.
- Demonstrated ability to write clear requirements, user stories, acceptance criteria, and development tickets that engineering teams can implement with minimal rework.
- Strong analytical rigor with the ability to distinguish confirmed facts from assumptions, challenge unclear reasoning, and validate conclusions.
- Experience facilitating requirements and solution-review sessions involving business, clinical, operational, and technical stakeholders.
- Strong written and verbal communication skills, with the ability to adapt business and technical information for different audiences.
Preferred Qualifications
- Familiarity with healthcare claims, eligibility, reimbursement, clinical workflows, pharmacy operations, or healthcare financial processes.
- Experience working with configurable or rules-driven healthcare platforms.
- Experience supporting client, provider, health system, or partner implementations.
- Understanding of data pipelines, ETL processes, APIs, healthcare integrations, and data exchange concepts.
- Experience managing a shared product backlog across multiple customers, implementations, or business units.
- Familiarity with healthcare data standards, regulatory requirements, or privacy considerations such as HIPAA.
Key Competencies
- Requirements elicitation and translation
- Healthcare workflow analysis
- Technical and data analysis
- System behavior reconciliation
- Product and backlog management
- Stakeholder facilitation and decision-driving
- Cross-functional collaboration
- Analytical rigor and structured problem-solving
- Dependency and impact analysis
- Documentation discipline and traceability
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