Role Overview

The Senior Manager, Claims Analytics, leads the claims analytics function within the Implementation organization. This role is responsible for overseeing complex reimbursement and payment accuracy analyses, managing analysts, setting analytical standards, and partnering cross-functionally with GTM, Customer Success, Product, and Engineering teams to ensure successful client implementations.

This role combines deep healthcare claims expertise with people leadership, strategic thinking, and operational execution to scale analytics capabilities and drive measurable financial outcomes for clients.

Key Responsibilities

Leadership & Strategy

• Lead and mentor a team of Implementation Claims Analysts, setting priorities, performance expectations, and development plans. Define and standardize analytical methodologies, reporting frameworks, and best practices for claims and reimbursement analysis.

• Partner with Implementation leadership to align analytics deliverables with client goals, timelines, and success metrics.

• Act as a subject-matter expert in claims analytics for complex or high-visibility client implementations.

Analytics & Execution

• Oversee large-scale analysis of claims data related to charge capture, reimbursement, underpayment, overpayment, and payment accuracy.

• Ensure the delivery of exception-driven, actionable insights that clearly identify systemic versus isolated issues.

• Review and validate analytical outputs, ensuring accuracy, consistency, and clarity in reporting and client-facing deliverables.

• Guide analyses related to:
  
  

• Payor reimbursement behavior and trends

• RVU productivity and payment alignment

• Revenue cycle optimization opportunities

• Financial performance to benchmarks, goals, and norms
  
  

Cross-Functional Collaboration

• Partner with GTM and Customer Success teams to support implementations, renewals, and expansion opportunities through analytics insights.

• Collaborate with Product and Engineering teams to influence roadmap priorities based on claims analysis findings and client needs.

• Serve as a senior analytics representative in client-facing discussions, executive readouts, and strategic reviews.
  
  

Technical Oversight

• Provide guidance on data ingestion and processing pipelines using SQL*Loader, Oracle, shell scripting, and cloud-based tools.

• Oversee advanced analytics leveraging SQL, PL/SQL, Python, Scala, Spark, and AWS.

• Ensure scalable, repeatable approaches to analyzing billions of claims records across clients.
  
  

Required Qualifications

• 8+ years of experience in healthcare claims analytics, payment accuracy, or reimbursement analysis.

• Prior experience working with claims editing or payment accuracy vendors.

• Strong expertise in medical coding, billing guidelines, and reimbursement methodologies.

• Proven people leadership experience managing and developing analytics teams.

• Advanced proficiency in SQL and experience working with large healthcare datasets.

• Strong executive communication and presentation skills.
  
  

Core Competencies

• Strategic thinking with a strong bias toward execution

• Ability to lead through ambiguity and change

• High accountability and ownership mindset

• Strong client-facing presence and stakeholder management skills

• Passion for building scalable analytics capabilities and high-performing teams

We appreciate your interest in working for Rialtic!

If you don't see a position that fits your career needs at this time, we encourage you to submit your resume here.

Once we have a position that fits, we will reach out to you.

Rialtic

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Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.

At Rialtic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.