Technical Product Owner/Business Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Owner/Business Analyst based in United States.

This role supports reporting, analytics, and data platform initiatives by translating product direction and business needs into clear, implementation-ready requirements. You will work at the intersection of product management, engineering, data, QA, design, and business stakeholders to turn complex needs into actionable delivery plans. The position has a strong focus on data-centric products, reporting accuracy, data definitions, transformation logic, and user-facing reporting experiences. You will help teams reduce ambiguity, minimize rework, improve delivery speed, and maintain a healthy, well-organized product backlog. The role combines business analysis, technical research, stakeholder management, and hands-on data validation using SQL and related tools. You will also contribute to scalable, secure, compliant solutions within a healthcare technology environment. This is an opportunity to have a direct impact on how data products are defined, delivered, validated, and continuously improved.

Accountabilities: Translate product roadmaps, epics, stakeholder requests, and discovery findings into detailed user stories, acceptance criteria, workflows, and implementation-ready requirements.

Partner with product leadership to clarify scope, identify assumptions and dependencies, resolve open questions, and ensure delivery teams have the information required to begin development.

Maintain a well-groomed backlog by preparing stories for sprint planning, tracking dependencies, documenting decisions, and supporting refinement sessions.

Conduct stakeholder interviews, process reviews, gap analyses, and discovery activities to understand business needs and translate them into actionable product requirements.

Define current-state and future-state workflows, report behavior, edge cases, validation rules, error handling, and expected outcomes.

Specify reporting and analytics requirements, including field definitions, data grain, source logic, filtering, grouping, calculations, summaries, sorting, exports, drill-through behavior, and user-interface requirements.

Maintain mapping tables, data dictionaries, glossaries, lineage documentation, transformation notes, and other data specifications across applicable data layers.

Work closely with Data Engineering to validate source-to-target mappings, assess data feasibility, clarify transformation logic, and identify data quality or lineage risks.

Use SQL and data-querying tools to inspect data, validate assumptions, investigate requirements, and support QA and user acceptance testing.

Define test scenarios, expected results, validation rules, and acceptance criteria while partnering with QA to ensure reporting and data solutions meet requirements.

Support intake and triage of client requests, reporting needs, enhancements, defects, documentation issues, and discovery items, ensuring ownership and next steps remain clear.

Coordinate with Product, Engineering, Data Engineering, QA, Design, Support, Implementation, Commercial, and business teams to remove ambiguity and maintain delivery momentum.

Track risks, blockers, dependencies, decisions, and requirement changes, escalating unresolved issues with clear context and recommendations.

Support release readiness by ensuring documentation, validation results, stakeholder communications, and known limitations are appropriately captured.

Promote scalable, secure, accurate, and compliant data and product solutions while ensuring alignment with healthcare and regulatory expectations.

Use AI tools responsibly to accelerate research, documentation, requirements development, summarization, and analysis while applying appropriate human review and validation.

Requirements

5+ years of experience in product ownership, business analysis, technical business analysis, data analysis, reporting, or a related product delivery role.

Proven ability to translate business needs into detailed technical requirements, user stories, acceptance criteria, workflow documentation, and implementation-ready specifications.

Strong understanding of reporting and analytics concepts, including data grain, field definitions, filtering, grouping, calculations, validation rules, and expected outputs.

Strong working knowledge of SQL fundamentals, including SELECT, WHERE, JOIN, GROUP BY, HAVING, and ORDER BY, with the ability to independently inspect data and validate requirements.

Solid understanding of relational database concepts, including tables, keys, relationships, joins, and normalization fundamentals.

Experience collaborating with data engineering, analytics, reporting, or data warehouse teams and familiarity with data warehouses, data marts, reporting pipelines, and ETL/ELT processes.

Familiarity with lakehouse concepts, dimensional modeling, medallion architectures, and Bronze, Silver, and Gold data layers.

Experience working in Agile/Scrum environments, including backlog refinement, sprint planning, story writing, acceptance criteria, and delivery tracking.

Strong written and verbal communication skills, with the ability to create precise documentation and explain complex technical or business concepts to varied audiences.

Strong stakeholder management and organizational skills, including the ability to clarify ambiguous requests, manage competing priorities, and drive follow-through.

Ability to manage multiple concurrent projects, requests, dependencies, and open questions while maintaining a high level of attention to detail.

Experience using tools such as Jira, Confluence, Lucidchart, Visio, Figma, or similar product and documentation platforms.

Familiarity with healthcare workflows, healthcare technology, EHR environments, or regulatory frameworks such as HIPAA and HITECH is preferred.

Experience with platforms such as Microsoft Fabric, Azure Synapse, Databricks, Power BI, Tableau, Sigma, Looker, or embedded analytics solutions is a plus.

Experience with healthcare data standards such as HL7, FHIR, X12, or similar technologies is advantageous.

Demonstrated ability to adopt AI tools responsibly for research, documentation, analysis, and productivity while maintaining appropriate human oversight.

Strong analytical thinking, technical curiosity, problem-solving ability, adaptability, and commitment to accurate, high-quality delivery.

Benefits

Generous annual bonus opportunity.

401(k) retirement plan with employer matching.

Flexible time off, allowing employees to take time away when needed without worrying about accrued hours.

11 paid holidays.

“Your Day Your Way” benefit to celebrate a cultural or social occasion that is personally meaningful.

Choice of medical, dental, and vision insurance plans.

Health Savings Account with employer contribution matching.

Flexible Spending Account.

100% company-paid parental leave after six months of employment.

100% company-paid life insurance.

Company-paid short- and long-term disability insurance.

Peer recognition through a Luminary recognition program.

Wellness program with opportunities for medical premium discounts.

Employee Assistance Program with free counseling sessions.

Corporate discounts on retail, travel, and entertainment.

Opportunity to work on healthcare technology products where accurate data, strong requirements, and effective delivery directly support business and customer outcomes.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1