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Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading organization in the reputed company sector, and they are seeking an Associate Vice President for Business Intelligence & Analytics Engineering. This senior technology leader will advance reputed company's data analytics and reputed company intelligence capabilities, partnering with various business reputed company to reputed company improvements in 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 domainsPartner 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-makingEstablish reputed company data product standards, governance practices, and delivery frameworks that ensure reputed company, trusted, and auditable analytics capabilities across the organizationEvaluate and manage analytics and BI technologies, including vendor platforms and reputed company-reputed company capabilities, and reputed company build-versus-buy recommendations for executive leadershipEnsure reputed company analytics products and reporting outputs reputed company with HIPAA, CMS, state regulatory, and reputed company governance requirementsreputed company the reputed company data science function, driving predictive and prescriptive analytics solutions that improve clinical reputed company, operational performance, member experience, and financial resultsreputed 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 prioritiesEstablish and operationalize an reputed company model lifecycle management reputed company, including feature management, experiment tracking, validation standards, model monitoring, and production deployment practicesPartner with Care Management, reputed company, Provider Relations, Clinical Operations, and other business stakeholders to translate analytic insights into measurable operational and clinical improvementsBuild, 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 buildingOwn 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 capabilitiesreputed 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 productivityEstablish 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 reviewsreputed 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 patternsCollaborate 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 requirementsreputed company reusable AI solution frameworks, accelerators, governance standards, and technical enablement resources that reputed company adoption across the reputed companyServe 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 roadmapServe as the executive sponsor and reputed company advisor for reputed company analytics and AI initiatives, communicating reputed company, performance, risks, opportunities, and business value to executive and reputed company-level stakeholdersOwn financial planning and budget accountability for the analytics, data science, and AI engineering portfolio, including workforce investments .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.