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Lead product strategy and execution for enterprise-scale, data-driven platforms in the US healthcare payer domain. Own roadmap, prioritize requirements, drive cross-functional delivery, scale AI/ML capabilities, ensure responsible AI, and mentor product teams to deliver measurable outcomes.

Lead delivery of API platform capabilities from discovery through launch. Translate business, security, and operational needs into requirements and user stories, prioritize work, coordinate cross-functional execution, improve reliability and self-service onboarding, and use metrics and feedback to drive platform improvements.

Supports actuarial analyses for provider evaluation, network strategy, premium designation, and healthcare affordability. Analyzes claims, enrollment, provider, utilization, and financial data; builds and validates models, datasets, dashboards, and reporting processes; develops methodologies; and communicates recommendations to cross-functional stakeholders. The role also supports peer review, governance, documentation, workflow automation, reproducibility, and scalable analytics.

Designs, deploys, and maintains machine learning models, advanced statistical analyses, predictive and prescriptive analytics solutions, data pipelines, and feature engineering workflows. Performs exploratory analysis on large cloud-based datasets, monitors model performance, and communicates insights through dashboards and visualizations. Collaborates with business stakeholders to translate needs into scalable data science and AI solutions. Preferred experience includes MLOps, model deployment, API integration, NLP, deep learning, optimization, and healthcare analytics.

Creates and manages sales enablement materials for pharmacy businesses, including presentations, collateral, campaign assets, training content, launch support, and client-facing materials. Translates complex clinical, operational, regulatory, and product information into accurate, audience-specific sales narratives. Partners cross-functionally with marketing, sales, product, legal, clinical, and business teams while managing a high-volume deliverables queue and maintaining content quality, brand consistency, version control, and compliance.

Designs and manages Azure infrastructure, Kubernetes platforms, infrastructure-as-code, CI/CD pipelines, observability, automation, and secure, highly available systems supporting data engineering and data science teams. Builds self-service capabilities and AI-powered solutions, optimizes platform performance and costs, troubleshoots reliability issues, and mentors junior engineers while collaborating across teams.

Manage healthcare implementation projects by aligning stakeholders, defining scope and objectives, sequencing tasks, identifying dependencies, developing budgets and forecasts, and implementing communication plans. The role requires coordinating multiple project teams in a cross-functional environment, maintaining project timelines, and addressing emerging business needs using varied project methodologies and tools.

Leads a software engineering team developing AI-powered enterprise solutions. Responsibilities include optimizing conversational AI, applying reinforcement learning, building scalable AI agents, integrating AI/ML into Power Automate, migrating UiPath automations, managing Azure infrastructure, and ensuring responsible AI practices. The role also uses generative AI tools to accelerate development and automation.

Supports talent enablement and capability development through employee learning facilitation, program execution, project management, capability planning, and site onboarding. The role delivers behavioral and professional development sessions, coordinates stakeholders, manages logistics and learning data, maintains SharePoint resources, and ensures consistent onboarding experiences at the Philippines site. It requires independent execution, strong facilitation, project discipline, operational accuracy, and collaboration across a matrixed organization.

Oversee actuarial pricing for ancillary and individual insurance products by analyzing claims, membership, utilization, healthcare cost trends, forecasts, competition, and state rate filings. Develop pricing models, support product launches and regulatory interactions, identify revenue opportunities, translate complex analytics for stakeholders, and improve automated processes. Collaborate with executive leadership, medical economics, accounting, forecasting teams, external partners, and state insurance departments.