Lead analytics consulting engagements: translate business problems into end-to-end data science and ML solutions, present to executive stakeholders, manage projects and global teams, and operationalize analytic outputs with IT and data engineering.

Manage end-to-end US and Canada recruiting for GenAI, ML, and Data Engineering roles: source, screen, maintain ATS and pipelines, coordinate interviews, manage offers/negotiations, and partner with external agencies.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

The Technology Partner leads client engagements in Data & Insights, providing technology leadership, thought leadership, and mentoring while driving transformation agendas and solutions development.

Lead development and scaling of enterprise data products for supply chain: translate business needs into end-to-end analytics solutions, manage delivery, coordinate cross-functional teams, build data roadmaps, ensure data accessibility, and present results to senior stakeholders.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

Lead enterprise Power BI architecture, semantic modeling, and governance. Design scalable reusable datasets and BI operating models, demonstrate Copilot natural-language capabilities, advise stakeholders, run workshops, and deliver technical roadmaps aligning Fabric-based solutions with enterprise data strategy.

Advise clients on enterprise Power BI architecture and governance, design semantic layers and reusable datasets, implement Microsoft Fabric solutions, showcase Copilot-powered natural language analytics, lead stakeholder workshops, and provide executive technical roadmaps for scalable BI adoption.

Own end-to-end US/Canada recruiting for data science, ML, and analytics roles: source, screen, maintain ATS and candidate pipelines, coordinate interviews, manage offers, and partner with hiring managers and external firms.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

Lead the design and implementation of Generative AI solutions, optimizing application performance and reliability while guiding engineering teams and best practices.

Lead technical initiatives for end-to-end data migrations to an Enterprise Data Platform, providing architectural expertise and oversight to teams while ensuring alignment with client needs.

Lead architecture and delivery of enterprise-scale data solutions on Azure with a focus on Microsoft Fabric. Design end-to-end data pipelines, ensure security and governance, translate business needs to technical specifications, and mentor engineering teams.

Lead consumer credit review planning and execution across lending products; perform portfolio risk assessments; collaborate with credit strategy and governance; develop credit-risk reporting, policies, and oversight; present findings to senior management and regulators.

Lead client-facing analytics engagements in Strategic Revenue Management/Revenue Growth Management for CPG clients. Define business problems, lead advanced-analytics solutions (SQL/Python/R/BI), manage stakeholders, ensure business value, perform deep-dive analyses, and communicate insights and recommendations.

Seeking Senior Data Scientist with 6-10 years experience to design data science solutions using AI and NLP, drive business impact, and collaborate with cross-functional teams.

The Azure Databricks Senior Architect will be responsible for architecture, design, and implementation of data practices on Azure, focusing on end-to-end data management principles and governance.

Lead and deliver end-to-end data science and forecasting solutions for CPG clients, translate business problems into analytics designs, manage projects and global teams, present results to executives, and operationalize models with IT and data engineering.