Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior EPM Solutions Analyst builds and maintains Oracle EPM Cloud applications (EPBCS, FCCS, ARCS, etc.) for finance teams, writing Groovy rules, Essbase scripts, and integrations to support budgeting, forecasting, and financial close.
Lead data governance for ownership, individuals, and sanctions data, defining standards and quality controls to ensure trusted, business-ready data assets across Moody’s analytics products.
Own and improve enterprise data products for financial decision-making, regulatory compliance, and operational efficiency using advanced SQL, data analysis, and cross-team collaboration.
Consultant helps banks meet BCBS 239 by mapping data flows, defining KDEs, and implementing governance controls to ensure regulatory compliance and data quality.
Develop and maintain Oracle databases using PL/SQL, optimize SQL queries, and ensure data quality and governance for enterprise systems.
Principal Data Architect defines and leads enterprise data architecture for cloud-native platforms, designing scalable, secure data solutions to support digital transformation and data-driven decisions in wealth management.
Builds and maintains a semantic data platform that turns raw enterprise data into trusted, reusable assets for AI-driven analytics and automation using modern AI coding tools and governance frameworks.
Lead the product strategy for Hearst’s enterprise AI content platform, defining capabilities like semantic search, vector embeddings, and knowledge graphs to power AI-driven search, personalization, and generative applications across the company.
Leads operational execution of Hearst’s enterprise data platform, overseeing product operations, data governance, and privacy workflows while aligning cross-functional teams to deliver compliant, scalable data products.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and…
Designs enterprise-scale data models and architectures for wholesale lending at a global bank, aligning systems with business strategy and regulatory needs.
Lead a team of data engineers to build and scale cloud-based data pipelines and warehouses using Snowflake, Spark, and AWS, while shaping Evernorth’s enterprise data strategy.
Support the Chief Data Office by embedding data governance frameworks, defining roles, and documenting processes to improve data quality across PwC Ireland.
Designs enterprise data platforms, cloud modernization, and AI enablement strategies, and builds scalable data pipelines and models for analytics and machine learning.
Senior Data Scientist builds ML models, data pipelines, and BI reports using Python, R, SQL, and Oracle/SQL Server to enable data-driven decisions for enterprise analytics.
Lead the enterprise-wide transformation of data engineering and AI systems, designing AI-ready architectures, semantic layers, and agentic workflows to enable autonomous data operations and AI-driven decision-making.
Designs and governs data architecture for global engineering platforms, digital twins, and AI-enabled solutions to improve engineering productivity and analytics at a climate-tech company.
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
Lead a team building cloud-native data pipelines and AI-ready datasets for BMO’s generative AI and analytics platforms, integrating structured and unstructured data while ensuring governance and security.
Build and scale enterprise-grade data platforms for healthcare data using Azure, Databricks, and Spark to enable secure, governed analytics and self-service data products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.