Bridge strategic business decisions and technical execution by shaping analytics roadmaps, prototyping AI solutions, and turning real estate portfolio insights into executive recommendations.
Leads end-to-end delivery of enterprise Generative AI programs, coordinating cross-functional teams and stakeholders to bring RAG systems, agentic AI applications, and related initiatives from inception to production.
Design and implement advanced analytics capabilities by building Azure data platforms and ingestion pipelines, processing large datasets, and transforming raw data into consumer-friendly formats.
Drive growth for the Insurance business through hyperscaler and data platform partnerships, developing partner relationships, identifying client opportunities, and shaping Data & AI solutions with partner and internal teams.
Design and prototype scalable agentic AI platforms, translating business needs into production-ready multi-agent systems while guiding cloud architecture, engineering standards, and AI safety.
Lead executive and senior-level recruiting across business and technology functions, building talent pipelines, partnering with senior stakeholders, and guiding recruiters through search strategy, negotiation, and closure.
Partner with senior leaders to align HR priorities with business needs, lead workforce and talent initiatives, and strengthen organizational effectiveness through data-informed people practices.
Lead business analysis for healthcare payer automation and data initiatives, translating stakeholder needs into requirements and technical specifications while guiding discovery, data mapping, and UAT through sign-off.
Own client-facing analytics and agentic AI engagements, translating business challenges into solution designs and coordinating end-to-end delivery that produces measurable business value.
Own enterprise HR analytics engagements from discovery through delivery, translating workforce challenges into scalable analytics and AI solutions while guiding cross-functional teams and building senior client relationships.
Architect and build scalable AWS data foundations for generative AI, including RAG vector search, event-driven ETL pipelines, lakehouses, and automated foundation-model deployment.
Build and deploy production next-best-action and next-best-content decisioning models for pharma commercial teams, owning Databricks pipelines, experimentation, model evaluation, and feedback-driven retraining.
Design, build, and maintain scalable Azure data pipelines and ETL/ELT solutions, optimizing Spark-based processing and supporting reliable production data platforms.
Design and maintain scalable data pipelines and scheduled workflows, using Databricks, Spark, Python, and Scala to process enterprise data reliably and support production data engineering initiatives.
Lead analytics consulting engagements by translating business strategy into analytical roadmaps, defining governed KPIs, assessing data quality, and partnering on Power BI dashboards.
Deploy, integrate, and scale enterprise generative AI solutions on Azure, operationalizing LLMs and retrieval systems within customer engineering teams and bridging AI research with production cloud infrastructure.
Own the strategy, roadmap, and delivery of insurance data products, translating actuarial needs into technical requirements while partnering with engineering, analytics, and business stakeholders to drive adoption.
Refactor Python optimization algorithms and develop data science models for pricing, supply chain, and inventory allocation, translating enterprise business needs into actionable analytics solutions.
Refactor Python optimization algorithms and develop data science models for supply chain planning, pricing, inventory, replenishment, and allocation, translating enterprise business needs into measurable improvements.
Lead the architecture and delivery of a Snowflake-native RAG AI assistant, guiding an offshore engineering pod, partnering with client stakeholders, and driving testing, governance, and production readiness.
Manage, optimize, and scale AWS data infrastructure by designing and maintaining EMR clusters, automating deployments, and supporting secure, reliable batch-processing workloads.
Lead Agile delivery across multiple teams as a Scrum Master, facilitating planning and improvement, resolving systemic impediments, managing dependencies and risks, and guiding value-based delivery.
Lead client-facing retail and CPG supply chain analytics engagements, guiding teams to design scalable data solutions, build predictive and optimization models, and turn complex analysis into actionable business decisions.
Lead business-first analytics consulting engagements by framing complex decisions, analyzing data, prototyping AI-enabled solutions, and turning insights into measurable business outcomes.
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