Manager, Business Intelligence

This is an onsite position, 5 days/week, in the Vadodara office working the night shift. Hours are 6:30pm-3:30am IST. Remote applicants will not be considered.

RCM Business Intelligence Strategy and Leadership:

• Own the RCMS BI roadmap and demand portfolio, aligning priorities with service performance, customer value, growth, automation, and scalability; manage intake, capacity, delivery, and stakeholder communication.
• Serve as the RCM BI subject-matter expert and trusted advisor, translating business questions into measures, insights, and actionable recommendations.
• Lead and develop BI analysts and developers; establish standards across the analytics lifecycle and replace recurring ad hoc reporting with reusable data products.

RCM Analytics and Performance Intelligence:

• Deliver analytics across charge capture, claim submission, clean claims, rejections, denials, payments, remittances, underpayments, A/R aging, days revenue outstanding, collections, first-pass resolution, productivity, quality, backlog, turnaround time, customer retention, and cost-to-serve.
• Use root-cause, cohort, trend, variance, funnel, segmentation, and predictive analyses to identify payer, client, platform, workflow, staffing, training, quality, and upstream drivers; quantify financial and operational impact.
• Develop work-prioritization and exception-management insights; partner with Revenue Optimization and operations leaders to validate findings, target high-value opportunities, and measure sustained improvement.

Snowflake, Data Modeling, and Analytics Engineering:

• Own governed Snowflake data products, including dimensional and semantic models, reusable views, data marts, metric layers, and curated datasets.
• Write and review advanced SQL and transformations; optimize query performance, workloads, and consumption while controlling data grain, duplication, lineage, and reconciliation risks.
• Partner with data engineering and platform teams on ingestion, orchestration, transformation, and monitoring using dbt, Airflow, APIs, and approved technologies; maintain definitions, dictionaries, source-to-target logic, ownership, refresh expectations, and support documentation.

BI Tools, Visualization, and Self-Service Analytics:

• Lead Power BI dashboard, semantic model, measure, and report development using strong modeling, DAX, visualization, accessibility, performance, security, and deployment practices.
• Apply common design standards across Power BI, Sigma, Tableau, Looker, and other approved tools; deliver intuitive executive, operational, client, and analyst experiences without duplicative reporting.
• Enable self-service analytics through certified datasets, governed models, role-based access, documentation, and training; manage dashboard ownership, usage, enhancement, retirement, and support.

Data Governance, Quality, and Controls:

• Own RCMS KPI and reporting governance, including approved formulas, sources, dimensions, exclusions, refresh schedules, targets, and accountable owners; communicate assumptions, limitations, and quality issues.
• Establish automated quality checks, reconciliations, anomaly detection, release validation, and production monitoring with documented thresholds and remediation; enforce source control, peer review, testing, environment separation, and change documentation.
• Protect patient, customer, employee, and financial data through role-based access, least privilege, masking, secure development, and compliance with HIPAA, privacy, security, and company requirements.

AI, Automation, and Scalable Growth:

• Prioritize AI, machine learning, RPA, intelligent automation, and workflow orchestration opportunities that reduce manual effort, detect revenue leakage, improve work prioritization, and increase capacity.
• Enable analytics for approved RCMS platforms and develop reusable, configurable data products that scale across clients, platforms, service lines, and geographies.
• Use approved AI-assisted tools with human review, data protection, accuracy, and auditability; define investment business cases, acceptance criteria, baselines, adoption plans, and benefit tracking.

Stakeholder and Customer Enablement:

• Partner with RCMS Operations, Revenue Optimization, Finance, Product, Technology, Customer Success, IQuality, Compliance, and client-facing teams on requirements, process mapping, metric definitions, prototypes, user acceptance testing, adoption, and outcome measurement.
• Deliver concise executive and client-ready narratives explaining performance, causes, impact, and recommended actions; provide training, office hours, documentation, and data literacy support.

Qualifications of the Manager, Business Intelligence - RCM:

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Healthcare Analytics, Finance, Engineering, or a related field; advanced degree preferred.
• 6+ years in BI, analytics engineering, reporting, or data analytics, including leadership of projects, analysts, or developers.
• Healthcare revenue cycle analytics experience covering claims, 837/835 transactions, remittances, denials, payments, A/R, payer behavior, reimbursement, and productivity.
• Advanced SQL and direct Snowflake experience, including modeling, transformation, optimization, data-quality validation, and reusable datasets.
• Strong direct Power BI skills in semantic modeling, DAX, Power Query, dashboard design, performance, security, deployment, and support; other BI tools beneficial.
• Experience with transformation, integration, and orchestration tools such as dbt, Airflow, APIs, Python, R, or comparable approved technologies.
• Experience with data governance, KPI standards, lineage, access controls, testing, source control, releases, and production monitoring.
• Preferred: AI, machine learning, RPA, intelligent automation, or workflow analytics experience in a controlled business environment; experience in healthcare technology, RCM services, BPO, shared services, or multi-client environments.

Knowledge, Skills, and Abilities:

• RCM domain expertise: Connects healthcare billing, payer, claims, denial, remittance, payment, A/R, collection, revenue leakage, productivity, and customer-performance concepts to useful analytics.
• Analytics architecture: Designs trusted data products from source ingestion through Snowflake modeling, semantic layers, BI delivery, governance, and user adoption.
• Business intelligence development: Applies Power BI and modern BI best practices to create accurate, maintainable, performant, accessible, and reusable analytics.
• Analytical problem solving: Uses structured root-cause analysis, statistics, segmentation, trend analysis, and hypothesis testing to distinguish signal from noise and translate findings into action.
• Data governance and quality: Builds durable metric definitions, lineage, reconciliation, access, testing, monitoring, and change-control practices.
• AI and automation fluency: Understands appropriate applications, limitations, controls, and value measures for AI, machine learning, RPA, and AI-assisted analytics development.
• Financial and operational acumen: Connects analytics to cash, revenue, margin, cost-to-serve, capacity, client value, contractual performance, and scalable growth.
• Leadership and talent development: Sets standards, coaches technical talent, plans capacity, improves delivery discipline, and creates accountability for quality and outcomes.
• Executive communication: Explains complex data and technical concepts clearly to non-technical leaders, operating teams, and client stakeholders.
• Product and change mindset: Manages analytics as products with defined users, outcomes, roadmaps, adoption measures, lifecycle ownership, and continuous improvement.

Skills

BI, Business Intelligence, Power BI, Snowflake