Sidharth Sharma

Headed Gainwell's strategic data initiatives and successfully implemented cloud transformation, resulting in improved health outcomes with a focus on user-friendly and intuitive experiences.

• Directed the Medicaid modernization initiative, leading a $10M project to enhance data architecture, improving scalability, and cutting operational costs by 20%.
• Achieved a 30% reduction in Medicaid data processing times and increased reporting accuracy by spearheading the cloud migration.
• Efficiently reduced infrastructure costs by managing cloud vendors for Azure and Data Bricks, leading to a 20% cut down.
• Secured funding for cloud infrastructure expansion through strategic alignment of initiatives
• Enhanced reporting capabilities, resulting in a 25% reduction in response time for state Medicaid inquiries and increased accuracy of HEDIS and QNXT measures.

Led data and analytics initiatives for driving operational excellence in support of FoodChainID’s mission to ensure food safety, quality, and transparency.

• Designed and implemented $5M data warehouse solution, driving 40% increase in operational efficiency; enabled acquisitions and supported financial operations.
• Led a collaborative team of 15+ data engineers and analysts, achieving a 50% decrease in data-related errors.
• Consolidated global food testing lab data, resulting in a 35% increase in reporting accuracy.
• Achieved operational efficiency enhancement of 30% through deployment of an efficient, cloud-based data processing system
• Led enhancement of Regulatory comes and compliance efforts while decreasing supply chain bottlenecks by 40%
• Collaborated cross-functional teams on data solutions integration and business strategy alignment, enhancing operational efficiency in food industry.

Managed end-to-end data strategies to optimize the use of Aetna CVS healthcare data for better patient outcomes and operational efficiency. Led key data and informatics initiatives to improve healthcare delivery and enhance decision-making across the organization.

• Managed a team of 15+ data engineers and analysts to execute Aetna's APLC (Aetna Plan Lifecycle) cloud migration strategy. Aligned digital transformation with corporate objectives, resulting in a 25% reduction in operational costs.
• Established an effective data governance strategy through collaboration with senior executives resulting in improved data quality and security.
• Successfully streamlined redundant operations among five distinct Aetna Medicare products, consolidating them onto a single platform while enhancing member data access and reducing redundancies by 30%.
• Directed implementation of cloud-based data lake resulting in 30% increase in processing efficiency.
• Drove operational cost savings of 25% by leading Aetna's cloud migration strategy.

Designed and implemented a secure and scalable data architecture for a Federally Qualified Health Center (FQHC), supporting diverse healthcare services such as preventative care, dental, behavioral health, and substance abuse.

• Managed enterprise data warehouse initiatives supporting a $500M+ business line, resulting in a 40% increase in data management efficiency
• Developed innovative strategies with a team of data experts to streamline Clinical Data Consolidation processes thereby reducing processing times.
• Aligned data initiatives with strategic objectives in collaboration with executive leadership resulting in a 40% improvement in data management efficiency.
• Enhanced operational efficiency by applying data integration techniques, resulting in a 40% decrease in processing times.
• Achieved an 80% increase in data quality through the implementation of data standardization and MDM methodologies.
• Consolidated data from over 30 healthcare clinical sources such as EPIC and Centricity.
• Led $2M data governance initiative, ensuring compliance with HIPAA regulations and improving data quality.
• Automated handling for sliding fee scale patients and claims processing to ensure financial sustainability and maintain high care standards.

Developed scalable architectural models for supporting Noridian claims processing, member data management, and ensuring regulatory compliance, integrating seamlessly with legacy systems and cloud-based solutions.

• Ensured uninterrupted data flow and access across departments by combining different datasets like claims, members' records, and HIEs.
• Increased accuracy in claim processing and maintained compliance with healthcare regulations by implementing effective data validation and governance protocols.
• Implemented predictive analytics capabilities which aided in identifying trends in member health and utilization, thereby facilitating improved care management and cost savings.