Jobs at Blend360

Lead marketing data transformation efforts, establish governance structures, and manage cross-functional initiatives while engaging executive stakeholders.

The Lead Data Scientist will develop Marketing Mix Models, build data pipelines, validate model accuracy, and communicate insights to stakeholders while managing multiple priorities in a dynamic environment.

The Project Management & Marketing Operations Lead will oversee project execution and operational workflows for marketing initiatives, driving efficiency and ensuring quality deliverables.

The Marketing Campaign Specialist will manage campaign execution, coordinate with teams, and improve marketing processes while building relationships with partners.

The .NET Integration Engineer will design and build Azure integrations, manage testing and deployment, produce documentation, and collaborate with various teams on integration architecture across multiple domains.

Lead the testing approach for a large-scale systems integration programme, designing test strategies, managing UAT, and maintaining test quality across multiple phases.

The AI Engineer will design, develop, and deploy scalable AI solutions using advanced techniques, collaborate cross-functionally, and apply MLOps best practices.

Manage the data layer for enterprise systems integration, including data profiling, transformation, ingestion pipelines, and MDM interfaces while collaborating with integration engineering teams.

Lead the testing approach for enterprise integrations, collaborating with integration and data engineers, designing test strategies, executing tests, coordinating UAT, and managing defects.

Seeking a Data Engineering Manager to oversee enterprise systems integration, including data layer management, batch ingestion, transformation, and MDM data interfaces, while ensuring data quality and alignment across stakeholders.

As a Product Manager, you will oversee the data science product roadmap, align business goals with technical teams, manage model development, and ensure product quality in the digital advertising sector.

The Product Manager will own the data science product roadmap, align business objectives, oversee model development, and coordinate between teams in a fast-paced environment.

The Senior Technical Program Manager will lead the implementation of a Customer Data Platform, managing cross-functional teams and vendor relationships to deliver large-scale initiatives effectively.

Lead and manage the marketing data program, establish governance structures, communicate with executive stakeholders, and ensure alignment across teams on data initiatives.

The Director of Marketing Data Program Management will lead data transformation initiatives across Marketing, Technology, and Analytics, ensuring strategic alignment and decision-making while managing complex programs.

The Marketing Operations professional will support the execution of marketing campaigns, ensure smooth processes, and build relationships across teams.

The Data Quality Engineer ensures data quality and consistency across Azure and Databricks platforms by validating data pipelines, implementing automated checks, and collaborating with teams to confirm reliable data assets.

The Lead Data Scientist will design, develop, and deploy Machine Learning models, collaborate with teams to integrate solutions, and implement MLOps practices while providing mentorship and communicating findings effectively.

The Data Quality Engineer will implement a data quality framework, validate data pipelines, and collaborate with Data Engineering to ensure accurate data across platforms.

The Data Quality Engineer will ensure data quality and reliability across data platforms, validating pipelines and implementing automated checks, while collaborating with data engineering and business teams.