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Leads healthcare analytics projects using clinical, claims, pharmacy, and eligibility data to evaluate cost, utilization, quality, and program performance. Develops statistical analyses, predictive models, dashboards, and reporting solutions; identifies optimization opportunities; partners with clinical, product, engineering, and business teams; presents recommendations to stakeholders; and mentors junior analysts.

Partner with business leaders in India to develop and execute people strategies, support organizational design and workforce planning, manage employee relations, guide performance and talent development, and drive engagement initiatives. The role also oversees Indian labor-law compliance, HR policy improvements, HRIS usage, and information security responsibilities while collaborating with the US People Business Partnership team.

Analyze healthcare claims, authorization, utilization, cost, operational, and clinical outcomes data to optimize auto-decisioning strategies and client implementations. Build reporting solutions, dashboards, visualizations, and self-service analytics using SQL and Tableau or Power BI. Identify performance improvements, track industry trends, communicate actionable insights, and collaborate with clients and cross-functional teams on rule refinement and metric tracking.

Lead SDET work to design and maintain scalable E2E automation across UI, API, and config-driven flows. Integrate automation into CI/CD, improve test reliability, validate deployment guardrails, mentor teams, and collaborate with Platform, SRE, and Security to ensure release safety and compliance in a healthcare platform.

Build and support full-stack web applications and cloud platform features for AI-driven healthcare automation. Responsibilities include contributing to technical roadmaps, designing and developing features, testing, deploying releases, supporting production services, and collaborating with product and design teams. The role also involves database and frontend work, implementing security practices, and integrating AI or agent-based systems into product workflows.

Build and lead scalable business intelligence software, including backend systems, APIs, ETL pipelines, cloud data services, user interfaces, dashboards, and analytics capabilities. Own architecture, feature delivery, performance, reliability, testing, security, and data governance. Collaborate with product, analytics, data science, and business teams while mentoring engineers and driving technical excellence.

Designs and delivers scalable cloud-native data solutions using AWS, Apache Iceberg, dbt, Python, SQL, and Spark. Builds batch and near-real-time pipelines, ingestion and transformation frameworks, data quality controls, observability practices, and legacy modernization solutions. Supports schema evolution, partitioning, compaction, query optimization, architecture discussions, code reviews, and mentoring. Also contributes to information security management, risk assessments, continuity testing, security policies, and ISMS reporting.

Leads the L1 client support function, managing support associates, ticket triage, SLA tracking, escalations, access provisioning, client communications, and support metrics. Drives process improvements through automation, standardized workflows, alerting, and knowledge-base development. Partners with Client Success, Product, Engineering, and QA to resolve issues and improve the client support experience.

Gather and document business and data requirements, translate needs into user stories, perform data gap analyses and source-to-target mapping, and validate data outputs using SQL. Support data profiling, quality monitoring, data lineage, QA, Agile ceremonies, documentation, workflow improvements, change management, and stakeholder communications across client, product, engineering, and business teams.

Configure and test healthcare platform requirements for client implementations, define test scenarios, resolve technical issues, and support post-implementation activities. Serve as a configuration subject matter expert for client-facing analysts, collaborate with Product, Design, Development, and Engineering teams, and help build scalable configuration management tools. The role requires advanced Excel skills, JSON-based business rule experience, Jira familiarity, and strong project execution and problem-solving abilities.