Rev Ops Architect

Availity is one of the leading health information networks in the United States, processing more than 4 billion transactions annually and connecting more than two million healthcare providers and over two thousand technology partners to health plans nationwide. Our teams of technology, business, and customer service professionals in Bangalore, India, are working together to transform healthcare delivery in the United States through innovation and collaboration. Our technologists help develop cutting-edge revenue cycle solutions that help hospitals, health systems, and physicians maximize payments and optimize their workflows.

Location-Bengaluru, India

Experience-6-12Years

Employment Type-Full-time| Work Mode- Work from Home

Availity is a leading healthcare technology company focused on simplifying healthcare administration and solving real-world challenges for healthcare providers, health plans, and patients. Our technology helps reduce complexity so providers can spend less time navigating administrative systems and more time focused on patient care.
 

Availity India is an important part of Availity's global growth journey. Based in Bengaluru, our India teams partner closely with U.S. and global stakeholders across technology, product, operations, customer support, and corporate functions.
 

Our India organization is being built with a strong focus on ownership, learning, collaboration, engineering excellence, and meaningful business impact. Associates in India have the opportunity to solve complex problems, contribute to global initiatives, and support products and services that are part of the U.S. healthcare ecosystem.
 

We are seeking a highly experienced Business Intelligence leader to own and drive the evolution of our enterprise analytics platform. This is not a traditional reporting role. The successful candidate will inherit a business-critical Power BI environment, architect and lead the migration to an AWS-based data lakehouse and Amazon QuickSight ecosystem and establish the foundation for AI-enabled analytics capabilities.
 

This role combines strategic leadership with hands-on technical execution. You will serve as the organization's senior BI expert, partnering directly with executive leadership, Revenue Operations, Sales, Finance, Customer Success, and Technology teams to deliver trusted, scalable, and intelligent analytics solutions.

Business Intelligence Platform Ownership

• Take end-to-end ownership of the existing Power BI environment.
• Document current architecture, data sources, refresh dependencies, semantic models, KPI definitions, and reporting consumption.
• Assess technical debt and deliver a prioritized remediation roadmap.
• Maintain reliability and executive trust in all business-critical reporting.

Data Architecture & Engineering

• Design and implement a scalable AWS-based data lake/lakehouse architecture.
• Develop governed dimensional models including:
  • Star Schemas
  • Conformed Dimensions
  • Fact Tables
  • Slowly Changing Dimensions (SCDs)
  • Surrogate Keys
  • Bridge Tables
• Establish ELT frameworks, testing strategies, deployment processes, and environment promotion standards.
• Eliminate spreadsheet-based and manual data processing wherever possible.

Reporting Modernization & Migration

• Assess and rationalize existing reporting assets.
• Lead migration from Power BI to Amazon QuickSight / Amazon Quick Suite.
• Ensure metric consistency and executive reporting continuity throughout the transition.
• Consolidate redundant reports and improve reporting adoption.

AI & Advanced Analytics

• Build the semantic and governance foundation required for trusted AI-driven analytics.
• Implement capabilities such as:
  • Natural Language Query (NLQ)
  • Automated Insight Narratives
  • Forecasting Models
  • Anomaly Detection
  • Self-Service and Agentic Analytics Workflows
• Evaluate and recommend AI capabilities within the AWS Analytics ecosystem.

Stakeholder Engagement

• Partner with business and technology leaders to translate complex business requirements into scalable analytical solutions.
• Present architecture decisions, trade-offs, risks, and recommendations to senior executives.
• Support board reporting, forecasting processes, quarterly business reviews, and strategic planning efforts.

Governance & Reliability

• Establish and maintain:
  • KPI Catalog
  • Data Dictionary
  • Metrics Governance
  • Data Lineage Documentation
  • Source-of-Truth Definitions
• Implement role-based security, row-level security, privacy controls, and access governance.
• Monitor production reporting and analytics environments and drive root-cause analysis for issues.

Leadership & Mentorship

• Act as the organization's senior BI subject matter expert.
• Define standards, best practices, and reusable reporting patterns.
• Mentor analysts and report developers.
• Enable governed self-service analytics across the business.

Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Engineering, Statistics, Analytics, Finance, or a related discipline.
• Equivalent practical experience will also be considered.
• 8+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or Data Architecture.
• Proven ownership of enterprise BI platforms from architecture through delivery and support.

Technical Expertise

Data Modeling

• Strong expertise in dimensional modeling and Kimball methodologies.
• Experience designing production-grade:
  • Star Schemas
  • Fact and Dimension Models
  • Conformed Dimensions
  • SCD Strategies
  • Bridge Tables
  • Surrogate Keys

Power BI

• Semantic Models
• DAX Performance Optimization
• Power Query
• Dataflows
• Composite Models
• Incremental Refresh
• Deployment Pipelines
• Workspace Administration
• Row-Level Security (RLS)
• Capacity Planning & Optimization

AWS Analytics Platform

Hands-on experience with:

• Amazon S3
• AWS Glue
• Amazon Athena
• Amazon Redshift
• Lake Formation
• Lakehouse Architectures
• Data Partitioning & File Format Optimization
• Cost Management & Governance

Amazon QuickSight

• Dataset Design
• Dashboard Development
• Calculated Fields
• SPICE Optimization
• Direct Query Architectures
• RLS Implementation
• Performance Tuning
• Administration & Governance

Programming & Data Engineering

• Advanced SQL
• Query Optimization & Execution Plans
• Python or equivalent programming language
• Data Pipeline Development

Salesforce Analytics

• Deep understanding of Salesforce architecture and data extraction.
• Experience modeling:
  • Opportunities
  • Opportunity Stage History
  • Custom Objects
  • Ownership Changes
  • Multi-Currency Environments
  • Historical Tracking

DevOps & DataOps

• Git-based Version Control
• CI/CD Pipelines
• Automated Testing
• Code Reviews
• Release & Deployment Governance

Preferred Qualifications

• Experience implementing AI/ML capabilities within BI environments.
• Hands-on experience with:
  • Amazon Bedrock
  • QuickSight Q
  • LLM-enabled Analytics
  • Semantic Search
  • Forecasting & Anomaly Detection Solutions
• Experience with semantic modeling platforms such as:
  • dbt Semantic Layer
  • Cube
  • AtScale
• Experience with:
  • dbt
  • Airflow
  • Dagster
  • AWS Step Functions
  • Fivetran
  • Airbyte
  • AWS AppFlow
• Revenue Operations domain expertise:
  • Pipeline Management
  • Forecasting
  • ACV/ARR
  • Bookings
  • Retention
  • Productivity Metrics
• Experience working within Healthcare Technology or regulated environments.
• Knowledge of HIPAA, PII, and data governance best practices.
• AWS, Microsoft Fabric, or Databricks certifications.
• Prior experience mentoring teams or serving as a technical lead.

• Meaningful impact: Work on solutions that help simplify healthcare administration and support better provider and patient experiences.
• Global exposure: Partner with U.S. teams and leaders while contributing from India to global business priorities.
• Learning and growth: Be part of a culture that values continuous learning, mentoring, knowledge sharing, and career development.
• Flexible work experience: Work in a way that supports productivity, collaboration, and team needs across remote, hybrid, and office-based models.
• Holistic rewards: Benefit from competitive compensation, health and insurance benefits, paid time off, company holidays, leave benefits, Employee Assistance Program support, and learning programs.
• Inclusive workplace: Join a casual, collaborative, and inclusive environment where associates are encouraged to bring ideas forward.
• Office experience: For office-based associates, Availity India provides amenities such as coffee and tea, subsidized meals, recreation areas, and eligible night-shift transportation support.
   

Our hiring process is designed to be transparent and engaging. Depending on the role, it may include application review, recruiter discussion, technical or functional assessment, hiring manager interviews, team or leadership conversations, offer discussion, background verification, and onboarding support.
 

Availity is committed to building an inclusive workplace where all associates feel valued, respected, and empowered to do their best work. We welcome candidates from diverse backgrounds and encourage individuals who are excited by collaboration, innovation, and meaningful impact to apply.

Video Camera Usage:

Availity fosters a collaborative and open culture where communication and engagement are central to our success.  As a remote first company, we are also camera-first and provide all associates with camera/video capability to simulate the office environment. If you are not able to use your camera for all virtual meetings, you should not apply for this role.

Having cameras on helps create a more connected, interactive, and productive environment, allowing teams to communicate more effectively and build stronger working relationships.  The usage of cameras also enhances security and protects sensitive company information. Video participation is required to ensure that only authorized personnel are present in meetings and to prevent unauthorized access, data breaches, preventing social engineering, or the sharing of confidential information with non-participants.