Top Tech Jobs & Startup Jobs

Design, build, validate, and deploy predictive models using Python and SQL. Apply causal inference, A/B testing, matching models, and AutoML to evaluate interventions. Partner with product and engineering to deliver scalable analytics, ensure data quality and model performance, and communicate insights to stakeholders.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

Lead the design and implementation of Generative AI solutions, optimizing application performance and reliability while guiding engineering teams and best practices.

This role leads Revenue Growth Management initiatives, linking data analytics with executive strategy to drive business growth through actionable insights and project management.

The Technology Partner will lead technology solutions and data transformation initiatives for Fortune 100 clients, providing thought leadership and managing executive relationships.

Lead pricing operations and technology strategy to design scalable, cloud-native, AI-driven pricing solutions. Oversee architecture, data science model development, Agentic AI adoption, SDLC, integrations, and stakeholder alignment to operationalize pricing strategy and drive margin optimization.

Lead architecture and delivery of enterprise-scale data solutions on Azure with a focus on Microsoft Fabric. Design end-to-end data pipelines, ensure security and governance, translate business needs to technical specifications, and mentor engineering teams.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

Lead enterprise data modernization by designing canonical and semantic data models, data contracts, and real-time streaming architectures (Kafka). Architect AWS and Snowflake-based pipelines, enforce governance and metadata/lineage standards, partner with product and engineering teams, and produce reusable modeling artifacts to enable analytics and AI/ML use cases.

The role involves managing large-scale data analytics projects, designing data solutions, and collaborating with executives to implement digital and cloud solutions.