Top Artificial Intelligence Data & Analytics Jobs

Design and implement scalable data models and ETL pipelines (batch and streaming), ensure data quality/SSOT, collaborate with product and platform teams to resolve issues, contribute to data governance, and explore practical integrations between data engineering and AI.

Founding Global Customer Insights Lead who defines insights strategy, conducts interviews/surveys and VoC, performs segmentation and win/loss analysis, builds Looker/Databricks dashboards, produces executive-ready reports for leadership and investors, and hires and scales a distributed insights team and tooling across time zones.

Lead Informatica enterprise integration and MDM architecture across PLM, ERP, MES, and cloud. Design and implement IDMC/MDM solutions for customer, supplier, product, and BOM domains, build integrations with SAP, Teamcenter, Snowflake, and others, define matching/mergemanship and survivorship strategies, develop data quality and pipeline processes, run POCs, and produce architecture/design documentation while collaborating with business and IT stakeholders.

Lead Business Intelligence Analyst will develop quantitative approaches for cost reduction, mentor junior analysts, and explore new technologies to enhance analysis.

Lead regional reporting delivery by standardizing, governing, and automating reporting processes. Partner with Corporate Reporting and line units to translate data into actionable insights, prioritize work, manage capacity, and drive adoption of common reporting tools and practices. Oversee consolidation of reporting activities, escalate risks, and mature regional reporting capabilities aligned to enterprise standards.

Deliver data-driven insights and scalable reporting solutions for finance leadership. Partner with stakeholders to gather requirements, identify process improvements, implement automation, build training curricula, and develop analytics using Snowflake and modern BI tools to support executive decision-making.

Design and implement data pipelines, manage data with SQL and Python, automate workflows, ensure data integrity, and build scalable data solutions on AWS and Redshift.

The Pension Risk Transfer Data Analyst will manage and analyze participant data, ensure accurate benefit calculations, and support the installation team, collaborating with various stakeholders to enhance process efficiency.

Design, build, and maintain scalable dbt transformation pipelines and analytical data products on cloud platforms. Own data product lifecycle from source alignment and modeling to deployment, testing, monitoring, and governance. Implement automated data quality, observability, and metadata practices; develop reusable macros and semantic-layer assets. Collaborate with stakeholders, mentor peers, and promote analytics engineering standards to support reporting, advanced analytics, and AI use cases.

The Senior Actuarial Analyst supports Optum Care by developing monthly reserving and quarterly forecasting processes, analyzing health care trends, and communicating results.

The Associate Director will forecast medical expenses, develop analytics methods, collaborate with teams, present insights to leadership, and mentor junior analysts.

The Senior EDI Solutions Analyst manages EDI 278 integrations, ensuring seamless data processing, troubleshooting issues, and leading EDI mapping and validation efforts in a healthcare setting.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

Design and build scalable data infrastructure and pipelines using Azure Data Factory and Databricks. Implement data integration, transformation, modeling, and optimization. Validate data quality and security, collaborate with teams and clients, and contribute to client projects while developing technical skills and personal brand.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.