Top Tech Jobs & Startup Jobs

The Azure Databricks Administrator will manage technical solutions on the Azure Databricks platform, oversee performance management, and support development teams.

Lead the development and enhancement of infrastructure products and services, collaborating with teams to define strategies and oversee product lifecycle.

Lead portfolio-level Data & AI strategy and technical governance for enterprise clients. Advise C-suite, drive architecture and modern data stacks, win high-value engagements, and scale engineering and data science teams.

Lead identification, assessment, monitoring, and mitigation of enterprise risks with emphasis on data and cyber risk. Partner with business, technology, security, compliance, and audit teams to perform risk assessments, maintain risk frameworks, produce risk reports/dashboards, support remediation, and ensure regulatory compliance.

Lead end-to-end analytics consulting engagements: translate business problems into analytics roadmaps, drive program delivery, quantify ROI, align executive stakeholders, establish governance and performance dashboards, and operationalize ML and data solutions across functions.

Lead design and governance of enterprise ontologies, knowledge graph architecture, ingestion pipelines, and semantic layers. Enable semantic interoperability across data products, implement inference and reasoning, and establish standards, versioning, and data contracts to support scalable graph-driven analytics and AI augmentation.

Lead development and refactoring of Python-based optimization algorithms for supply chain and pricing problems. Build predictive models and optimization solutions to improve inventory, allocation, and replenishment. Collaborate with cross-functional teams, design experiments, monitor KPIs, and mentor data scientists.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

Manage large-scale data analytics client engagements, presenting solutions, collaborating with stakeholders, and driving digital and cloud implementations in the P&C insurance domain.

Lead end-to-end AI programs by translating business needs into technical requirements, aligning stakeholders, performing data discovery and EDA, managing data wrangling, and ensuring AI initiatives deliver measurable ROI.