Leads strategic commercial analytics initiatives for pharmaceutical clients, translating business needs into scalable data products, governing KPIs, and guiding cross-functional teams from roadmap through delivery.
Defines enterprise AI architecture and integration strategy, scaling LLM, RAG, and predictive analytics while designing secure APIs and event-driven systems for real-time applications.
Leads enterprise Databricks and Lakehouse architecture, setting technical direction for secure, scalable, cost-effective data platforms that support engineering, analytics, machine learning, and generative AI.
Design and deploy forecasting models for retail, CPG, and supply chain clients, translating demand-planning needs into scalable analytics and actionable recommendations for business stakeholders.
Own and launch a Snowflake-native commercial data product for a pharma launch, leading a cross-functional pod and aligning stakeholders on launch strategy, KPIs, data models, and self-service analytics.
Own and launch a Snowflake-native commercial data product for a pharma launch, translating launch strategy into segmentation, KPIs, and self-service analytics while leading a cross-functional pod.
Leads the development and deployment of complex data infrastructure, ensuring high-quality data is available to support analytics and AI initiatives.
Design and govern enterprise semantic models with AtScale, SML, and Snowflake, translating banking and financial business needs into secure, reusable metrics and high-performance analytics.
Deploy and scale enterprise generative AI solutions within customer environments, integrating LLMs, retrieval pipelines, and cloud infrastructure while advising clients and improving production systems.
Lead the design, development, and deployment of scalable GenAI and machine learning solutions, translating client business needs into production-ready systems while guiding projects and mentoring teams.
Design and optimize data pipelines that turn large-scale unstructured data into structured insights, integrating Snowflake and GCP services with OCR, NLP, and Document AI tools.
Leads data and insights technology strategy for CPG clients, advising executives, shaping enterprise transformation and architecture, developing client solutions, and guiding practice capabilities and engineering talent.
Own allocation performance strategy for retail brands by diagnosing KPI outcomes, identifying root causes, advising on allocation decisions, and driving vendor and stakeholder accountability.
Drive Microsoft co-sell pipeline and revenue growth by building field relationships, expanding strategic accounts, and developing industry-aligned Data/AI offerings and go-to-market plays.
Lead BI consulting delivery for commercial pharma teams by designing scalable Power BI reporting, guiding migrations and automation, and translating business needs into governed analytics solutions.
Lead forecasting and advanced analytics initiatives in healthcare, building deep learning and Generative AI solutions that improve prediction accuracy and make model insights more transparent and interpretable.
Build and operate scalable data pipelines and GCP platform infrastructure, using Python, SQL, cloud services, and automation to support batch and real-time data processing.
Design and lead scalable Databricks data architectures for ETL, streaming, and machine learning, while improving performance, cost, reliability, and governance across large-scale data ecosystems.
Designs and deploys forecasting solutions for demand planning, inventory, replenishment, logistics, and sales, translating complex analyses into actionable recommendations for clients across retail, CPG, and supply chain.
Lead supply chain analytics and data migration initiatives, guide cross-functional teams, and partner with senior clients to design scalable data solutions and deliver predictive, prescriptive, and optimization insights.
Lead commercial pharma data science initiatives, building Next Best Action models and omnichannel analytics that personalize HCP and patient journeys and improve commercial effectiveness.
Lead the modernization and architecture of full-stack applications, designing secure, cloud-native and resilient systems that support high-volume, low-latency experiences and intelligent operations.
Build and optimize production-grade cloud data pipelines using Azure Databricks, PySpark, and Azure Data Factory, while managing Lakehouse architecture, governance, security, and performance.
Architect, design, and implement advanced analytics capabilities by building scalable data pipelines and transforming complex datasets into insights that address business challenges.
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