Systems Architect - Data Science & Advanced Analytics

Overview In this role you will lead the architecture and strategic direction for enterprise data science and advanced analytics. You collaborate with data scientists, engineers, and business leaders to design scalable analytics environments and cloud-based data platforms. You will shape best practices, govern models, and drive adoption of AI/ML capabilities across the organization. This position offers impact by enabling data-driven decision making at scale and guiding modern data architecture modernization. ResponsibilitiesLead enterprise Data Science and Advanced Analytics initiatives and set vision for Big Data, AI, and ML solutionsDesign and implement scalable data science environments supporting experimentation, model development, validation, and deploymentProvide technical leadership and mentorship to Data Scientists, ML Engineers, and Analytics teamsIdentify and evaluate emerging technologies to enhance analytics capabilitiesArchitect end-to-end ML/advanced analytics solutions using modern platforms and distributed computingDesign scalable workflows for data prep, feature engineering, model training, evaluation, and productionCollaborate with cross-functional teams to translate objectives into analytical solutionsEstablish model governance, reproducibility, documentation, and monitoringDesign enterprise data architectures enabling large-scale analytics and ML workloadsLead data pipelines and analytics frameworks using Databricks Lakehouse, Delta Lake, and Apache SparkEnsure scalable, reliable data solutions aligned with enterprise standardsLead modernization initiatives to improve data accessibility and operational efficiencyPartner with leadership to define data/analytics roadmaps and communicate technical concepts to non-technical stakeholdersHost architecture reviews and mentor cross-functional teams to deliver impactful analytical productsFoster collaboration between Data Science, Data Engineering, and business teams Key requirementsBachelor’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or related discipline (Master’s preferred)10+ years designing and implementing advanced analytics, ML, or Big Data solutionsExperience as a technical lead or SME for enterprise data science initiativesExperience leading technical teams and architecting large-scale analytics platformsExperience building AI/ML solutions for mission-critical or large-scale operationsKnowledge of modern data governance and responsible AI principlesExperience with experimentation frameworks, model operationalization, and analytics product developmentFamiliarity with Agile product development and collaborative data science workflowsCross-functional collaborationExecutive stakeholder engagementMentoring and coaching of technical teamsMachine Learning model development and lifecycle managementStatistical analysis and predictive modelingArtificial Intelligence and Advanced Analytics methodologies