Careers

MDM Data Analyst

As an MDM Data Analyst, you will be a key member of the MDM team, responsible for developing and maintaining match strategies using data from various sources, including Credentialing and Human Resource systems.

REQUIREMENTS

• Conduct formal reviews of Business Requirements, Operations Guides, Reference Tables, and program artifacts on Teams/SharePoint Sites.
• Review the Outgoing Data Model, including views offered to MDM Consumers and associated data dictionaries, to familiarize yourself with the current state of the MDM Program.
• Utilize Teams Foundation Server (TFS) for managing development sprint work and drafting tasks for upcoming work.
• Support Master Data Work queues and ticketing for Business Data Stewards.
• Perform daily reviews of Provider Records Match Queues to validate proposed/excluded records.
• Provide support to business and technical team members as an experienced consultant in payor enrollment and medical staff credentialing data management.
• Assist in developing basic business requirements, including:

• • Identifying tables and fields within systems.
  • Communicating with business source owners using industry-accepted terms and conditions.
  • Developing data definitions.
  • Defining business item requirements for developers to transform, extract, validate, and test data from source systems.

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Solutions Architect

As a Solutions Architect, you will be responsible for designing and implementing innovative technology solutions that address complex business challenges and enhance patient care outcomes. This role involves collaborating with stakeholders to gather requirements, define system architecture, and create technical specifications. You will provide technical guidance and leadership throughout the project lifecycle, ensuring that solutions align with business objectives and strategic goals.

REQUIREMENTS

• Solution Design: Design and implement scalable, secure, and robust solutions that comply with healthcare regulations.
  Stakeholder Collaboration: Collaborate with stakeholders to gather requirements, define system architecture, and create technical specifications.
• Technical Leadership: Provide technical guidance and leadership throughout the project lifecycle.
• Technology Evaluation: Evaluate and select appropriate technologies, frameworks, and tools to meet project goals.
• Alignment: Ensure alignment of architectural solutions with business objectives and strategic goals.
• Stakeholder Engagement: Work closely with healthcare providers, IT teams, and other stakeholders to understand their needs and provide effective solutions.
• Communication: Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.
• Presentations: Lead discussions and presentations on architectural solutions and project progress.
• Industry Knowledge: Stay current with emerging technologies and industry trends in healthcare and technology.
• Process Improvement: Identify opportunities for process improvement and innovation within the organization.

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Data Engineer

As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines and systems that support our business objectives. You will work with a variety of technologies, including ETL, API, SQL, and cloud platforms, to transform raw data into actionable insights. Your expertise will be crucial in ensuring data quality, reliability, and security across our organization.

REQUIREMENTS

• Design, implement, and support data integration and ETL/ELT solutions, particularly within the healthcare sector or similar industries.
• Develop and enforce data solutions and security standards across the organization.
• Address complex issues, implement corrective actions, and prevent future occurrences.
• Lead initiatives to automate testing and deployment processes.
• Collaborate with business stakeholders to establish and enhance data governance and quality frameworks.
• Maintain proactive communication with users and manage project statuses and requests.
• Proven experience in data integration and ETL/ELT solutions.
• Strong understanding of data security standards and practices.
• Ability to resolve complex technical issues and implement effective solutions.
• Experience with automation tools and techniques for testing and deployment.
• Excellent collaboration skills with the ability to work with various business stakeholders.
• Effective communication skills to manage project statuses and user requests.

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Technical Product Owner

As a Technical Product Owner, you will collaborate closely with stakeholders to develop, execute, and support the Master Data Product and related project initiatives. This role involves working with business stakeholders and project teams to create technology roadmaps and deliverables in an agile environment. You will be responsible for the overall planning and execution of projects, ensuring high visibility and effective management.

REQUIREMENTS

• Collaboration: Work with business managers, directors, and technical resources to plan, build, and execute a product involving multiple teams.
• Domain Expertise: Possess deep expertise in Provider Master Data Management within Payor, Health System, Health Plan, Healthcare Information Exchange, or related domains.
• Leadership: Lead business and technical requirements teams to identify viable standards for Master Data Services, with expertise in HL7/FHIR and related terminologies.
• Project Management: Oversee tactical planning and day-to-day management of technical projects.
• Reporting: Summarize and report overall program status to stakeholders and technology leadership.
• Technical Support: Support advanced Master Data Management technical resources, including data architects, solution architects, engineers, and quality assurance teams.
• Product Knowledge: Have a deep understanding of the Master Data Product and the teams involved in delivering services.
• Relationship Building: Build strong relationships with all Master Data technical and business stakeholders.
• Team Leadership: Lead and direct daily activities, agile sprints, and deployment releases, providing technical and analytical guidance as needed.
• Skill Gap Resolution: Work with stakeholders to resolve any identified technical skill gaps.
• Feature Presentation: Present features and stories to stakeholders for review and prioritization post-grooming.

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MDM QA Engineer

As an MDM QA Engineer, you will work within the Master Data Management team, focusing on Provider, Location, and Reference Master domains. You will act as a Senior Quality Assurance Engineer with advanced skills in database testing for both on-premises and cloud (Azure) environments. Your role may also involve supporting API and interface testing. You will utilize logical, physical, and canonical models, and possess a strong background in SQL and ETL transformations to support Master Data Services systems.

REQUIREMENTS

• Advanced SQL Techniques: Demonstrate a comprehensive understanding of advanced SQL techniques, including query optimization, complex data manipulations, and efficient database design.
• Data Quality Rules: Compare business requirements documentation for desired solution business rules and provide recommended data quality rules to standardize values when data sources present variation.
• Test Script Development: Develop test scripts and repeatable SQL test scripts, detailing their design, automation, performance testing, environment setup, error handling, version control, documentation, and integration into CI pipelines.
• Code Review: Conduct code reviews to ensure adherence to business rules, data quality rules, and match strategy logic.
• Defect Management: Have extensive experience managing defects in Jira/Confluence.
• Healthcare Crosswalks Testing: Perform QA/Unit Testing on healthcare-centric crosswalks.
• Technical Unit Testing: Support technical unit testing in development, test, and production environments.
• Source-to-Target Mapping Evaluation: Evaluate source-to-target technical mappings in functional specifications, logical and physical models, and consumer views.

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