Top Hybrid Data & Analytics Jobs

Own and mature the enterprise data governance program, including policies, critical data elements, quality frameworks, metadata, lineage, classification, access, retention, privacy, and compliance. Lead cross-functional stakeholders, establish governance operations, build stewardship capability, communicate with executives, and drive organizational change. The role supports cloud data platform modernization, self-service analytics, and AI enablement within a property and casualty insurance organization.

Design and lead scalable data architecture and orchestration systems supporting AI infrastructure and digital marketing platforms. Build production-ready batch and streaming pipelines, transform structured and unstructured data, and integrate sources with Snowflake. Apply sharding, replication, indexing, normalization, and data governance best practices. Develop tools for data scientists and analysts, collaborate cross-functionally, document architectural solutions, and guide teams in delivering secure, reliable, production-ready AI data systems.

Supervise data engineers developing and maintaining enterprise data products for analytics, AI, machine learning, and business intelligence. Responsibilities include team leadership, contractor oversight, governance and change management, resource planning, vendor management, architecture road mapping, incident support, and employee coaching. The role also supports cloud and lakehouse implementations, data quality practices, Agile and DevOps processes, and operational efficiency across multiple concurrent projects.

Design and build scalable data engineering and AI agent governance capabilities across major cloud AI platforms. Develop ingestion, processing, ETL, observability, security, lifecycle management, and identity governance features. Evaluate emerging AI agent frameworks and interoperability standards, troubleshoot customer issues, document architecture and processes, and collaborate with engineering, security, compliance, product, and support teams. The role also involves improving distributed data systems, mentoring engineers, and leading technical initiatives.

Conduct market and competitor research, monitor industry trends, compile biographical and strategic profiles, and produce partner-ready reports and briefings using legal research platforms to surface business opportunities and support pitches for attorneys and firm leadership.

Provide workforce analytics and consulting support to HR leaders across Services and Sales Operations. Develop reporting, staffing, retention, and productivity insights; solve complex business problems with quantitative and qualitative data; create executive-ready narratives; influence analytics and product roadmaps; and advise senior leaders on workforce measures and actionable solutions.

Leads marketing analytics capabilities, including KPI frameworks, recurring reports, executive dashboards, forecasting, predictive modeling, segmentation, and data governance. Translates marketing and business data into recommendations on acquisition, retention, channel performance, ROI, LTV/CAC, and brand health. Directs analytics resources and partners with Marketing, Sales, Finance, and leadership to support data-driven planning, reporting, and strategic decision-making.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Establishes and operates North America Operations’ data-governance framework, including ownership, stewardship, quality, metadata, lineage, definitions, and AI governance. Partners with business, data, technology, risk, and compliance teams to resolve data issues, automate controls, improve trust, and embed governance into data products, analytics, and AI solutions. Develops playbooks, training, metrics, and continuous-improvement processes while driving accountability across functions.

Develop and enhance data warehouses, BI platforms, Tableau dashboards, and self-service analytics solutions. Analyze data, fulfill rapid reporting requests, identify actionable insights, automate reporting processes, and collaborate with business, BI, and IT stakeholders to improve data quality and decision-making.