The role acts as a bridge between business strategy and technical execution to help clients realize value from data and AI investments. Responsibilities include leading workshops to gather requirements, translating needs into user stories, and validating data quality using SQL.
Lovelytics
11 Remote Job Openings at Lovelytics
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Lovelytics
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Full Time
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21 days ago
Lovelytics
This is a general application for candidates to connect with the company for future opportunities. The role involves helping enterprises modernize data and implement AI in production.
Lead the design and implementation of complex ETL/ELT pipelines and data warehousing projects for clients. Collaborate with internal and external stakeholders to deliver data integrations and real-time processing solutions.
The role involves designing and implementing complex ETL/ELT pipelines and leading data warehousing projects in a client-facing environment. Responsibilities include collaborating with internal and partner teams to deliver data integrations and real-time processing solutions.
Design and lead the implementation of scalable data platforms and lakehouse architectures using Databricks for enterprise clients. Partner with sales teams to scope engagements, create technical blueprints, and guide delivery teams through implementation.
Lead the design and implementation of complex ETL/ELT pipelines and data warehousing projects for clients. Collaborate with internal and external teams to migrate data to Databricks, AWS, and Azure while ensuring security and compliance.
Design and deploy state-of-the-art Generative AI solutions, including AI Agents and RAG systems, on the Databricks platform. Lead client-facing engagements to build LLM pipelines, evaluation frameworks, and GenAI-driven automation.
The role involves designing and implementing complex ETL/ELT pipelines and leading data warehousing projects for clients. It requires collaborating with internal and external teams to deliver data integrations and real-time processing solutions.
Design and deploy enterprise-grade Generative AI solutions, including RAG pipelines and AI agents, specifically on the Databricks platform. Lead client-facing engagements and oversee the work of junior consultants to deliver high-impact AI applications.
Lead strategic client relationships and oversee the delivery of data consulting engagements to ensure quality and satisfaction. Drive account growth through identifying upsell opportunities and managing revenue and margin targets.
Design and deploy state-of-the-art Generative AI solutions, including RAG systems and AI agents, on the Databricks platform. Lead client-facing engagements to build optimized LLM pipelines and implement enterprise-grade security and governance.