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Lead product strategy and roadmap for an enterprise AI modernization of medical record review. Align business, clinical, and technical stakeholders to integrate LLMs, intelligent document understanding, and autonomous coding across Optum/UnitedHealthcare systems, define success metrics, ensure compliance and responsible AI, and drive adoption and operational outcomes.

Lead design and implementation of advanced analytics, reporting, and data tooling for chart review, targeting analytics, and risk adjustment. Build and validate data pipelines, automate integrations, ensure data quality, modernize legacy analytics, and deliver actionable insights to stakeholders across the organization.

Lead migration of Excel-based actuarial and pricing tools into scalable platforms. Translate actuarial and business requirements into technical solutions, ensure accurate auditable outputs, develop coding standards and testing, provide consultancy to underwriters, and mentor junior analysts.

Lead design and operations for a Data Control Tower to define, implement, validate, and monitor data controls. Partner with engineering, analytics, product, and business stakeholders to build control catalogs, translate technical findings to business impact, manage incidents and trust states, and support governance, dashboards, and continuous improvement across healthcare data domains.

Lead enterprise analytics strategy and transformation, drive AI and advanced analytics adoption, establish governance and best practices, partner with senior leaders to deliver measurable business outcomes, and build high-performing analytics teams to enable self-service analytics and data-driven decision-making.

Lead pricing strategy and analysis for healthcare networks, utilizing data to optimize pricing models and engage stakeholders. Implement automation and enhance workflow efficiencies.

The Director of Data Science will lead the AI Enablement team, developing strategy, managing stakeholder relations, and ensuring the delivery of data science solutions.

The role involves applying advanced analytics in healthcare, developing coding solutions, collaborating with teams, and mentoring. Focus is on data science and improving healthcare outcomes.

Lead Business Process Improvement and Transformation for Payment Integrity. Develop strategy, business cases and execution roadmaps; partner with Operations, Analytics, R&D and Technology. Track operational performance using automated statistical control models, dashboards and scorecards; ensure benefits are captured in P&L. Lead strategic projects in a matrix environment, influence stakeholders, implement corrective actions, and report progress to senior leadership to drive cost efficiency and medical cost savings.