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  • Technical Product Owner- AI & Machine Learning

    Technical Product Owner – AI & Machine Learning (Contract)

    Location;: Baton Rouge, LA  (Hybrid- 3 days per week)
    Duration: 6 Months
    Pay Rate: $65/hr

    Job Overview:

    We are seeking a Technical Product Owner to support the delivery of Artificial Intelligence (AI) and Machine Learning (ML) initiatives. This role will work closely with Data Science, Engineering, and Business teams to translate requirements into actionable work, manage product backlogs, and facilitate Agile delivery processes.

    The ideal candidate has experience working in Agile environments, managing Azure DevOps backlogs, and supporting the successful delivery of data-driven or AI-enabled solutions.


    Key Responsibilities

    • Support the delivery of AI and Machine Learning initiatives within established project timelines and objectives.
    • Partner with the Data Science Manager to evaluate, organize, and prepare incoming business requests for technical refinement.
    • Translate business and technical requirements into user stories, acceptance criteria, and prioritized backlog items.
    • Facilitate Agile ceremonies including sprint planning, backlog refinement, sprint reviews, and related delivery activities.
    • Maintain Azure DevOps (ADO) Boards, ensuring backlog health, sprint tracking, velocity reporting, and delivery metrics remain current.
    • Collaborate with Engineering, Data Science, Project Management, and Portfolio teams to coordinate priorities, timelines, and dependencies.
    • Clarify requirements and remove delivery roadblocks by working closely with technical teams and stakeholders.
    • Monitor project progress, risks, and dependencies, escalating issues as needed.
    • Maintain project documentation, status reporting, and delivery artifacts.
    • Recommend improvements to Agile processes, backlog management, and delivery workflows.

    Required Qualifications

    • Experience as a Product Owner, Technical Product Owner, Product Analyst, Business Analyst, or similar delivery-focused role.
    • Experience supporting Agile, Scrum, SAFe, or other iterative delivery methodologies.
    • Hands-on experience with Azure DevOps (ADO), including backlog management and sprint planning.
    • Experience supporting Program Increment (PI) Planning, release planning, or multi-sprint delivery initiatives.
    • Experience creating user stories, acceptance criteria, and managing product backlogs.
    • Understanding of Artificial Intelligence, Machine Learning concepts, and model lifecycle management.
    • Knowledge of cloud platforms, data engineering concepts, and modern data ecosystems.
    • Strong communication, stakeholder management, and organizational skills.
    • Ability to manage multiple priorities in a fast-paced environment.

    Preferred Qualifications

    • Experience supporting Data Science, Analytics, or Machine Learning teams.
    • Familiarity with MLOps concepts and AI product delivery frameworks.
    • Experience working within enterprise-scale Agile environments.
    • Knowledge of Azure cloud technologies and data platforms.

    Success Metrics

    • High-quality backlog management and user story development.
    • Consistent sprint execution and delivery predictability.
    • Accurate project tracking, reporting, and dependency management.
    • Effective collaboration across business and technical teams.
    • Timely delivery of project objectives and milestones.
    June 2, 2026
  • Senior Healthcare Informatics Analyst

    Senior Healthcare Informatics Analyst

    Location: Remote (Louisiana Preferred)
    Duration: 6-Month Contract
    Pay Rate: Up to $50/hour

    Overview

    We are seeking a Senior Healthcare Informatics Analyst to support advanced healthcare analytics initiatives focused on improving healthcare quality, outcomes, utilization, and cost management. This role will leverage predictive modeling, outcomes research, machine learning, and healthcare data analytics to provide actionable insights that drive strategic business decisions.

    The ideal candidate will have strong experience in Healthcare Economics and Outcomes Research (HEOR), predictive analytics, healthcare data modeling, and payer/provider healthcare environments.


    Key Responsibilities

    • Analyze healthcare data to improve patient outcomes, utilization, quality, and cost efficiency.
    • Develop predictive models and advanced analytic solutions to support business and clinical initiatives.
    • Perform healthcare economics and outcomes research using large healthcare datasets.
    • Design and execute descriptive, predictive, and statistical analyses.
    • Translate business problems into data-driven solutions and actionable recommendations.
    • Collaborate with business, clinical, actuarial, finance, and technology teams to support strategic decision-making.
    • Validate data quality, accuracy, completeness, and consistency across analytical deliverables.
    • Develop reporting, dashboards, and analytical frameworks that support operational and strategic initiatives.
    • Serve as a subject matter expert on healthcare analytics methodologies and outcomes measurement.
    • Present complex analytical findings to both technical and non-technical stakeholders.

    Required Qualifications

    Education

    • Bachelor’s degree in Healthcare Administration, Statistics, Economics, Computer Science, Finance, Analytics, or another quantitative discipline.
    • Equivalent experience may be considered in lieu of degree requirements.

    Experience

    • 4+ years of healthcare analytics, healthcare informatics, healthcare consulting, or related experience.
    • Experience building predictive models and advanced analytical solutions.
    • Experience working with healthcare payer and/or provider data environments.
    • Strong understanding of the U.S. healthcare delivery system.

    Technical Skills

    • SQL
    • SAS
    • Python
    • R
    • Tableau

    Analytical Skills

    • Predictive Modeling
    • Healthcare Analytics
    • Data Mining
    • Statistical Analysis
    • Machine Learning
    • Outcomes Research
    • Big Data Analytics

    Preferred Qualifications

    • Strong experience in Healthcare Economics and Outcomes Research (HEOR).
    • Experience with SAS Enterprise Miner.
    • Experience supporting population health management initiatives.
    • Knowledge of provider reimbursement and payment methodologies.
    • Experience with risk adjustment models and methodologies.
    • Familiarity with healthcare quality and performance measures.

    Clinical & Healthcare Analytics Knowledge

    • HCC
    • DxCG
    • DRG
    • APC
    • ETG
    • MEG
    • HEDIS
    • AHRQ

    Statistical & Machine Learning Methods

    • Linear Regression
    • Logistic Regression
    • Polynomial Regression
    • Decision Trees
    • Cluster Analysis
    • Time Series Analysis
    • Support Vector Machines
    • Ensemble Models
    • Unstructured Data Mining

    Ideal Candidate Profile

    • Deep expertise in healthcare analytics and outcomes research.
    • Strong background in predictive modeling and healthcare data science.
    • Experience translating complex healthcare data into business insights.
    • Ability to communicate analytical findings to executive and operational stakeholders.
    • Comfortable working independently while collaborating across multiple business functions.
    • Experience supporting payer, managed care, population health, risk adjustment, or value-based care initiatives.

    Key Areas of Focus

    • Healthcare Economics & Outcomes Research (HEOR)
    • Predictive Analytics
    • Population Health
    • Provider Performance Analytics
    • Risk Adjustment
    • Medical Cost Management
    • Quality Measurement
    • Healthcare Utilization Analytics
    • Patient Outcomes Analysis
    • Healthcare Data Strategy and Decision Support
    June 1, 2026
  • Provider Dispute Intake Coordinator

    Job Title: Provider Dispute Intake Coordinator

    Duration- 6 Months

    Onsite position – with an opportunity for Hybrid (3days onsite – 2 days remote) after training period

    Pay- $17-$18/hr

     

    Position Summary

    The Provider Dispute Intake Coordinator plays a key role in supporting the Provider Disputes team by managing the intake, tracking, and distribution of provider disputes, appeals, and related correspondence. This position ensures that all incoming cases are accurately recorded, prioritized, and assigned for timely review and resolution.

    This role also provides administrative and clerical support to the department, helping maintain compliance with regulatory requirements and internal policies while supporting efficient claims processing and communication across teams.

    Key Responsibilities

    • Review processed claims to identify valid provider disputes
    • Create and assign dispute cases within EPIC to Provider Dispute Specialists
    • Coordinate intake, tracking, prioritization, and distribution of incoming disputes, appeals, and correspondence
    • Maintain accurate records of case flow and ensure timely routing to appropriate teams or individuals
    • Assist leadership with administrative tasks, reporting, and file maintenance
    • Prepare materials for appeal reviews, including case documentation, binders, and communications
    • Ensure all documentation complies with privacy regulations and internal policies
    • Forward medical appeals, FEP appeals, and correspondence to appropriate departments in a timely manner
    • Support internal coordination by following up with staff and departments to ensure timely claims processing and resolution
    • Maintain electronic and physical filing systems and update dispute tracking databases
    • Generate reports for internal meetings and ad hoc requests
    • Monitor and maintain office supply inventory and related documentation
    • Navigate systems such as Facets and Jiva to review claims and authorizations
    • Perform other administrative and departmental duties as assigned

    Qualifications

    Education

    • High School Diploma or equivalent required

    Experience

    • Minimum of 2 years of experience in a medical or insurance office setting
    • Experience with claims processing or provider/member services required
    • Familiarity with healthcare systems such as Facets and EPIC preferred

    Skills & Competencies

    • Strong organizational and time management skills
    • Ability to prioritize and manage multiple tasks in a fast-paced environment
    • Attention to detail and accuracy in data entry and documentation
    • Proficiency in Microsoft Office (Word, Excel, PowerPoint)
    • Strong communication and coordination skills
    • Ability to handle sensitive information in compliance with privacy regulations

    Work Environment

    • Office-based role in a professional, low-noise environment
    • Work is primarily performed while sitting or standing at a desk
    • Requires the ability to analyze, document, and manage detailed information

    Reporting Structure

    • Reports to: Supervisor, Provider Disputes
    • This position does not have direct reports

    Why Join Us

    You’ll be part of a collaborative team that plays a critical role in ensuring accurate claims handling and provider satisfaction. This position offers an opportunity to build expertise in healthcare operations, claims processing, and dispute management within a supportive environment.

    April 17, 2026

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