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15h Left! Deputy General Manager

15h Left! Deputy General Manager

Etenico TechnologiesIndia
15 hours ago
Job description

Job Summary :

The Deputy General Manager (DGM) for Business Intelligence in the Medical Coding industry plays a critical role in driving data-driven decision-making processes. The DGM is responsible for leading the BI team, managing large data sets, generating actionable insights, and aligning analytics strategies with business objectives. This position focuses on optimizing coding accuracy, revenue cycle management, and operational efficiency for healthcare providers through advanced analytics and reporting.

The DGM will collaborate with cross-functional teams including operations, delivery quality, IT, compliance, and client management to develop business intelligence solutions that meet the organization's strategic goals. Expertise in medical coding practices, revenue cycle management (RCM), and business analytics is essential for this role.

Key Responsibilities :

1. Leadership and Strategy :

  • Lead the Business Intelligence team in delivering data-driven solutions that enhance medical coding accuracy, RCM performance, and client satisfaction.
  • Develop and implement BI strategies to improve coding operations, compliance, and process efficiency.
  • Collaborate with senior leadership to define key performance indicators (KPIs) and metrics for business growth and operational improvements.
  • Support the design and implementation of BI frameworks aligned with organizational goals and healthcare regulations.

2. Data Analytics and Reporting :

  • Oversee the collection, processing, and analysis of large datasets related to medical coding, billing, and revenue cycle management.
  • Develop automated dashboards, data visualizations, and reports to provide actionable insights for various stakeholders.
  • Identify trends, patterns, and anomalies in coding performance, payer reimbursements, and claims data, and recommend corrective actions.
  • Perform predictive and prescriptive analytics to drive decision-making in areas like coding accuracy, denial management, and compliance.
  • 3. Process Improvement and Optimization :

  • Analyze coding workflows and revenue cycle processes to identify areas for efficiency improvements, automation, and optimization.
  • Collaborate with IT and operations teams to integrate business intelligence tools with existing systems such as electronic health records (EHRs), coding software, and RCM platforms.
  • Implement AI and machine learning solutions to automate and enhance data processing, coding accuracy, and reporting capabilities.
  • 4. Client Management and Collaboration :

  • Collaborate closely with clients, understanding their business needs, and delivering customized BI solutions that enhance their RCM outcomes.
  • Provide insights to clients on coding trends, compliance issues, and denial prevention strategies through advanced analytics.
  • Ensure that the BI deliverables meet client expectations and regulatory requirements and foster long-term client relationships.
  • 5. Compliance and Risk Management :

  • Ensure that all BI initiatives are in line with healthcare regulations, such as HIPAA, ICD10, CPT, and HCPCS compliance.
  • Conduct regular audits of data processes and reporting to identify potential risks and recommend mitigation strategies.
  • Stay Up to Date with industry changes in medical coding guidelines, payer rules, and revenue cycle regulations to adapt BI practices accordingly.
  • 6. Team Development and Mentoring :

  • Manage and mentor a team of BI analysts, data scientists, and developers to ensure the delivery of high-quality analytics and reports.
  • Provide ongoing training and professional development opportunities to enhance the team's expertise in BI tools, medical coding, and RCM processes.
  • Foster a culture of innovation and continuous improvement within the team.
  • Key Skills and Competencies :

    Technical Expertise :

  • Strong proficiency in data analytics, business intelligence tools (e.g., Tableau, Power BI, QlikView), and reporting platforms.
  • Working Knowledge in data analytics languages.
  • Experience working with medical coding software and RCM platforms (e.g., Epic, Cerner, 3M, Kareo).
  • Basic Understanding of use cases of CPT, ICD10, HCPCS codes, and payer reimbursement guidelines.
  • Analytical Thinking :

  • Ability to analyze large datasets and generate actionable insights to optimize coding performance and financial outcomes.
  • Strong critical thinking skills with a focus on process improvement and operational efficiency.
  • Leadership and Communication :

  • Proven leadership skills with the ability to manage and mentor teams effectively.
  • Excellent communication and people skills, with the ability to collaborate with senior leadership, clients, and cross-functional teams.
  • Strong client-facing abilities, capable of understanding client needs and delivering tailored BI solutions.
  • Project Management :

  • Ability to manage multiple projects simultaneously, ensuring timely delivery and alignment with business objectives.
  • Strong organizational and prioritization skills to meet deadlines in a demanding environment.
  • Healthcare and Medical Coding Knowledge :

  • Good understanding of the U.S. healthcare system, medical coding practices, revenue cycle management, and compliance requirements.
  • Familiarity with regulatory frameworks such as HIPAA, CMS, and payer-specific rules.
  • Qualifications and Experience :

    Education :

  • Bachelor's degree in data science, Business Administration or Business Analytics or a related field.
  • A master's degree or MBA is a plus.
  • Experience :

  • Eight to ten years of experience in business intelligence, data analytics, or a related field, with at least 5 years in the healthcare or medical coding industry.
  • Experience in a leadership or managerial role, overseeing BI projects and teams.
  • Good understanding in medical coding, revenue cycle management, and healthcare analytics.
  • Certifications :

  • Certifications in business intelligence or data analytics tools are a plus (e.g., Tableau, Power BI).
  • Compensation :

  • Competitive salary with performance-based incentives.
  • Comprehensive benefits package, including healthcare, retirement plans, and professional development opportunities.
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