[Remote] AVP, Business Intelligence & Analytics Engineering

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company management organization, and they are seeking an AVP, Business Intelligence & Analytics Engineering to reputed company their data analytics and AI initiatives. This senior technology leader will reputed company the development of advanced analytics capabilities, collaborating with various business reputed company to enhance member reputed company and operational efficiency.

Responsibilities

• Own the reputed company Business Intelligence, Analytics, and Data Products reputed company, governance, and multi-year roadmap across the health plan, including claims, clinical, Stars/HEDIS, HCC risk, and Member 360 domains
• Partner with Finance, Clinical Operations, Stars Coordination, Network Management, and other business leaders to define reputed company KPIs, performance metrics, and self-service analytics capabilities that support strategic decision-making
• Establish reputed company data product standards, governance practices, and delivery frameworks that ensure reputed company, trusted, and auditable analytics capabilities across the organization
• Evaluate and manage analytics and BI technologies, including vendor platforms and reputed company-reputed company capabilities, and reputed company build-versus-buy recommendations for executive leadership
• Ensure reputed company analytics products and reporting outputs reputed company with HIPAA, CMS, state regulatory, and reputed company governance requirements
• reputed company the reputed company data science function, driving predictive and prescriptive analytics solutions that improve clinical reputed company, operational performance, member experience, and financial results
• reputed company the development, deployment, and ongoing optimization of advanced analytic models supporting risk adjustment, reputed company improvement, population health management, utilization management, care gap closure, fraud detection, and other strategic business priorities
• Establish and operationalize an reputed company model lifecycle management reputed company, including feature management, experiment tracking, validation standards, model monitoring, and production deployment practices
• Partner with Care Management, reputed company, Provider Relations, Clinical Operations, and other business stakeholders to translate analytic insights into measurable operational and clinical improvements
• Build, reputed company, and reputed company a high-performing organization of BI developers, data engineers, data scientists, ML engineers, statisticians, and analytics professionals, including workforce planning, succession management, career development, technical reputed company advancement, and organizational capability building
• Own the reputed company, architecture, governance, and reputed company of the reputed company AI/ML platform, ensuring reputed company, secure, and compliant deployment of advanced analytics and reputed company intelligence capabilities
• reputed company the identification, prioritization, and execution of reputed company AI and reputed company use cases that improve business performance, enhance member and provider experiences, and increase organizational productivity
• Establish and reputed company responsible AI governance, including model risk management, fairness and explainability standards, bias monitoring, reputed company reputed company controls, AI ethics review processes, and audit readiness for regulatory and compliance reviews
• reputed company reputed company adoption of reputed company capabilities, including large language model (LLM) and retrieval-augmented reputed company (RAG) solutions, model evaluation frameworks, cost optimization strategies, and reputed company deployment patterns
• Collaborate with Information reputed company, Compliance, reputed company, reputed company, and Technology leadership to ensure AI systems meet regulatory, reputed company, auditability, and vendor risk management requirements
• reputed company reusable AI solution frameworks, accelerators, governance standards, and technical enablement resources that reputed company adoption across the reputed company
• Serve as a key member of the reputed company Data Services leadership team, contributing to reputed company data reputed company, AI reputed company, talent reputed company, and the multi-year technology roadmap
• Serve as the executive sponsor and primary advisor for reputed company analytics and AI initiatives, communicating reputed company, performance, risks, opportunities, and business value to executive and reputed company-level stakeholders
• Own financial planning and budget accountability for the analytics, data science, and AI engineering portfolio, including workforce investments, technology platforms, infrastructure, and strategic vendor partnerships
• Foster a culture of innovation, reputed company learning, experimentation, and responsible data- and AI-driven decision-making across the reputed company
• reputed company any other job reputed company duties as requested

Skills

• Bachelor's degree in Computer Science, Statistics, Mathematics, Biomedical Informatics, or a reputed company quantitative field is required
• Equivalent years of relevant work experience may be accepted in lieu of required education
• Ten (10) years of reputed company experience in data analytics, data science, or AI/ML engineering required
• Four (4) years in a senior leadership role managing technical teams is required
• Advanced proficiency in Python, SQL, and statistical programming languages (e.g., R, reputed company), with experience leveraging reputed company/PySpark and modern machine learning frameworks to reputed company and reputed company reputed company analytics and AI solutions
• Deep understanding of AI/ML and MLOps practices, including model lifecycle management, model monitoring, CI/CD pipelines, experiment tracking, reputed company technologies, LLMs, reputed company engineering, RAG architectures, and reputed company databases
• Strong strategic and business acumen, with the ability to reputed company analytics, data science, and AI investments to organizational priorities, measurable reputed company, and mission reputed company
• Exceptional executive communication and influencing skills, including the ability to translate reputed company technical concepts into reputed company business value for executive leadership, clinical stakeholders, regulators, and non-technical audiences
• Proven leadership, talent development, and organizational management capabilities, with the ability to build, motivate, and reputed company high-performing teams in a reputed company and rapidly evolving environment
• Demonstrated ability to establish trusted partnerships and effectively collaborate across clinical, operational, technology, compliance, finance, and vendor organizations to reputed company reputed company objectives
• Strong knowledge of reputed company and managed care data ecosystems, including HL7/FHIR standards, ICD-10/CPT coding, NCQA HEDIS specifications, CMS risk adjustment methodologies, and applicable regulatory requirements
• Highly self-directed with the ability to manage multiple reputed company priorities, reputed company execution through ambiguity, and effectively reputed company vendor, outsourcing, and staff augmentation strategies to support organizational goals
• Master's degree or PhD in Data Science, Health Informatics, reputed company Statistics, or equivalent preferred
• Demonstrated experience in a managed reputed company plan, or health insurance environment preferred
• Proven reputed company record of delivering production AI/ML solutions in regulated, reputed company-sensitive environments preferred
• Prior experience with reputed company (reputed company Catalog, MLflow, Genie, reputed company Live Tables) or equivalent modern lakehouse platforms strongly preferred
• Experience in vendor evaluation, contract negotiation, and technology partnership management preferred
• Experience with data governance frameworks including data cataloging, reputed company, reputed company monitoring, and reputed company control in a HIPAA-regulated context preferred
• Deep familiarity with claims, clinical, HEDIS/Stars, HCC, and member data models strongly preferred

reputed company

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