Top Senior Data & Analytics Jobs in San Diego, CA

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Designs and oversees scalable data platforms, warehouses, lakehouses, pipelines, ETL processes, dimensional models, and Spark workloads. Integrates AI/ML capabilities, data governance, lineage, testing, monitoring, and performance optimization. Collaborates with engineering, product, DevOps, and security teams to support tracking, analytics, and business insights. The role also mentors engineers and analysts and manages software delivery using AWS DevOps, CI/CD, and Terraform practices.

Analyzes and improves third-party financial data flows across wealth management providers, feeds, intermediaries, and enterprise platforms. Responsibilities include source documentation, data profiling, reconciliation, lineage mapping, root-cause analysis, provider engagement, scorecards, and remediation tracking. The role translates complex technical findings into business recommendations, develops scalable data-quality standards and automation, and serves as a subject matter expert across data, operations, architecture, engineering, and external partners.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Designs, builds, and maintains real-time and near-real-time data ingestion pipelines using Apache NiFi, REST APIs, scripting, and streaming technologies. Monitors data quality, pipeline health, observability, reliability, and performance while moving classified data across security domains. Develops automation for validation and alerting, documents data flows and procedures, and collaborates with engineering, platform, analytics, security, and governance teams to ensure compliant, trustworthy data delivery.

Performs recurring quality checks on commercial life sciences datasets, investigates anomalies, validates data ingestion and integrations in Databricks, maintains data dictionaries and lineage documentation, and collaborates with stakeholders and vendors to resolve issues. Supports governance standards, ad hoc analysis, reporting, training, automation, and continuous improvement of commercial data quality processes using SQL and data observability tools.

Develop and maintain advanced BI dashboards, reports, and data visualizations; analyze data from multiple sources using SQL, Python or R; respond to stakeholder inquiries; translate business requirements into analytical solutions; support data warehouse development; and communicate actionable insights to technical and non-technical stakeholders.

Leads Brightree's analytics product portfolio and manages analysts and analytics engineers. Defines product strategy, roadmap, metrics, and scalable customer-facing analytics solutions. Partners with customers, product management, engineering, and data teams to translate healthcare workflows and business needs into reporting, benchmarking, and decision-support capabilities. Drives team development, analytics standards, product delivery, adoption, and continuous improvement.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

Leads the analytics team and product portfolio, defining strategy, roadmaps, metrics, and customer-facing analytics capabilities. Partners with customers, product management, engineering, and data platform teams to translate healthcare workflows and business needs into scalable reporting, benchmarking, and decision-support solutions. Responsibilities include people leadership, product development, customer engagement, cross-functional execution, team coaching, and driving adoption of analytics products.