Technical Product Owner/Business Analyst (Remote - US)

Essential Functions

• In addition to working in accordance with appropriate conduct and behavioral standards, specific responsibilities of this role include:

  Product Delivery and Backlog Enablement

• Translate Director-owned epics, roadmap themes, stakeholder requests, and discovery notes into clear, actionable STRYs, acceptance criteria, and implementation-ready requirements.
• Partner with the Director, Product Management to refine scope, identify open questions, document assumptions, and ensure delivery teams have the detail needed to begin work.
• Maintain a healthy, well-groomed backlog by preparing stories ahead of sprint planning, clarifying dependencies, and supporting backlog refinement.
• Facilitate sprint planning, backlog grooming, and cross-functional working sessions when needed to keep delivery moving.
• Track follow-ups, decisions, open questions, and requirement changes across Product, Engineering, Data Engineering, QA, Support, and stakeholder teams.
• Support administrative product delivery tasks, including request tracking, ticket hygiene, documentation updates, and stakeholder follow-through.

Business Analysis and Requirements Definition

• Conduct stakeholder interviews, internal discovery, gap analysis, and process review to clarify business needs and translate them into detailed product requirements.
• Define user workflows, current-state and future-state process flows, report behavior, edge cases, and validation rules.
• Author crisp, unambiguous requirements that include business outcomes, user needs, functional behavior, data expectations, error handling, and acceptance criteria.
• Break complex reporting and data platform work into smaller deliverable increments that can be sequenced across sprints.
• Identify risks, dependencies, blockers, and decision points that need Director, Product Management or leadership input.
• Ensure requirements are traceable from stakeholder need through implementation, testing, and release readiness.

Reporting, Analytics, and Data Mart Specification

• Define and document reporting requirements, including field-level definitions, data grain, source logic, filtering behavior, grouping logic, calculations, and expected outputs.
• Maintain mapping tables and data documentation across bronze, silver, and gold layers where applicable.
• Support data dictionary, glossary, lineage, and transformation documentation for reporting and analytics assets.
• Partner with Data Engineering to validate feasibility, clarify source-to-target mappings, and document transformation logic.
• Support production report development by defining report columns, filters, summaries, sort behavior, drill-through behavior, export expectations, and UI display requirements.
• Document frontend report behavior, including grid interactions, null handling, placeholder behavior, tooltip definitions, and user-facing field descriptions.
• Help ensure reporting outputs are scalable, accurate, consistent, and aligned with Nextech’s product operating model.

Technical Research and Data Validation

• Use SQL and data querying tools to perform basic research, validate assumptions, inspect data, and answer requirement questions independently.
• Review data samples, source structures, and output scenarios to confirm that requirements align with available data.
• Validate data accuracy, completeness, edge cases, and expected behavior during QA and UAT.
• Partner with QA to define test scenarios, expected results, validation rules, and acceptance criteria for data-centric work.
• Identify data quality concerns, lineage gaps, source system ambiguity, and reporting risks early in the delivery process.
• Escalate technical tradeoffs and unresolved ambiguity to Product Management and Engineering leadership with clear context and recommendation options.

Intake, and Stakeholder Follow-through

• Support intake and triage of client requests, stakeholder asks, client-driven reporting needs, internal enhancement requests, and operational follow-ups.
• Clarify request details by gathering examples, use cases, screenshots, expected behavior, and business impact.
• Distinguish between defects, enhancements, discovery items, reporting gaps, documentation issues, and broader roadmap requests.
• Track request status, open questions, ownership, and next steps to ensure items do not stall due to missing context.
• Partner with the Director, Product Management to determine whether requests should become backlog items, discovery topics, documentation updates, or stakeholder communications.
• Provide clear written summaries that help the Director, Product Management make faster prioritization and sequencing decisions.

Cross-functional Partnership

• Collaborate closely with the Director, Product Management, Engineering, Data Engineering, QA, Design, Support, Implementation, Commercial teams, and business stakeholders.
• Act as a requirements translator between business stakeholders and technical delivery teams.
• Help remove ambiguity before sprint commitment by ensuring scope, data dependencies, expected behavior, and acceptance criteria are clearly documented.
• Support release readiness by confirming documentation, validation notes, stakeholder communication, and known limitations are captured.
• Build credibility with engineering and stakeholder teams through strong preparation, clear writing, technical curiosity, and consistent follow-through.
• Advocate for scalable, secure, and compliant product and data solutions that meet operational and regulatory expectations.

Minimum Qualifications

• 5+ years of experience in product ownership, business analysis, technical business analysis, data analysis, reporting, or related product delivery roles.
• Experience translating business needs into detailed technical requirements, user stories, acceptance criteria, workflow documentation, and implementation-ready specifications.
• Strong understanding of reporting concepts, data grain, field definitions, filtering logic, grouping behavior, calculations, and validation scenarios.
• Working knowledge of SQL fundamentals, including SELECT, WHERE, JOIN, GROUP BY, HAVING, and ORDER BY.
• Familiarity with relational database concepts, including tables, keys, joins, relationships, and normalization basics.
• Experience working with data engineering, analytics, reporting, or data warehouse teams.
• Familiarity with data warehousing concepts, dimensional modeling, data marts, and reporting pipelines.
• Experience working in Agile/Scrum environments, including backlog refinement, sprint planning, story writing, and acceptance criteria definition.
• Strong written communication skills with the ability to create clear, detailed, and actionable documentation.
• Strong stakeholder management skills, including the ability to clarify ambiguous requests and drive follow-through.
• Ability to manage multiple concurrent requests, open questions, and delivery priorities without losing detail.
• Familiarity with healthcare workflows, healthcare technology, or regulatory frameworks such as HIPAA and HITECH is preferred.

Technical Acumen

SQL fundamentals: strong working command of SELECT, WHERE, JOIN, GROUP BY, HAVING, and ORDER BY, sufficient to inspect data and validate requirements independently.
Relational database fundamentals: solid understanding of tables, keys, relationships, joins, and normalization basics.
Reporting and analytics fluency: ability to define fields, filters, groupings, calculations, report behavior, validation rules, and expected outputs.
Data platform awareness: familiarity with data warehouses, data marts, lakehouse concepts, ELT/ETL pipelines, and medallion architecture.
Documentation discipline: ability to maintain mapping tables, data dictionaries, transformation notes, lineage documentation, acceptance criteria, and implementation-ready requirements.
Agile delivery tools: ability to work effectively in Jira, Confluence, or similar tools for backlog management, documentation, and delivery tracking.
AI adoption: demonstrated ability to use AI tools responsibly to accelerate research, documentation, requirements drafting, summarization, and analysis, with appropriate human review and validation.

Preferred Qualfications

• Experience in healthcare technology, EHR, revenue cycle management, ambulatory care, specialty care, or healthcare reporting.
• Experience with Microsoft Fabric, Azure Synapse, Databricks, Power BI, Tableau, Sigma, Looker, or embedded analytics platforms.
• Experience with data lakehouse architecture and Bronze, Silver, Gold data layer concepts.
• Experience maintaining data dictionaries, glossary definitions, lineage documentation, or source-to-target mapping tables.
• Experience writing requirements for frontend reporting experiences, including grids, filters, export behavior, drill-through, tooltips, and display logic.
• Experience with Jira, Confluence, Lucidchart, Visio, Figma, or similar documentation and delivery tools.
• Exposure to HL7, FHIR, X12, or other healthcare data standards.