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Lead analytics work to improve revenue cycle performance by building and maintaining reports, dashboards, and SQL queries; analyze trends and gaps; support operations and workflow optimization; drive process standardization; present insights and recommendations to leadership.

Manage implementation of R1 solutions for modular and end-to-end projects, define project policies and success criteria, oversee PMO practices, track progress, mitigate risks, manage budgets, mentor project leads, and ensure on-time deployments that deliver ROI.

Support operational execution of AI-driven process automation: analyze historical data, design analytical automation approaches, report efficiency gains, enable team adoption, provide training, and develop action plans from user feedback.

Own and manage assigned client relationships to drive revenue cycle performance, retention, and growth. Lead client business reviews, prepare meeting decks, document interactions in CRM, support KLAS and NPS improvement, collaborate across functions to develop remediation and action plans, participate in contracting/renewals, and act as a change agent to optimize operational performance.

Develop and maintain full-stack web applications using .NET Core and React.js, build and consume REST APIs, manage SQL/NoSQL databases, deploy on Azure/GCP, integrate generative AI features, write unit tests, participate in code reviews, and collaborate in an Agile team.

Design, deploy, and manage end-to-end learning programs aligned to business priorities. Partner with stakeholders to diagnose capability gaps, create instructional design-based content, facilitate in-person and virtual programs, manage vendors, and measure program impact to drive behavior and performance improvement.

Manage user access provisioning and deprovisioning, ensure secure access, and handle ServiceNow tickets for access management.

The Senior Staff Engineer will manage and optimize Azure Virtual Desktop environments, troubleshoot issues, implement security policies, and utilize Azure management tools for efficiency.

Design, develop, and implement ETL processes and data architecture solutions while collaborating with stakeholders and mentoring junior developers.

Develop high-quality database solutions using SQL and Snowflake, ensure performance optimizations, perform data migrations, and manage reporting deliverables.