Onsite at Los Angeles CA Technical Project Manager: AI ML & DataWe are looking for a Technical Project Manager to lead high-impact AI/ML and Data initiatives. You will act as the vital link between data science teams and business leadership ensuring technical innovation translates into commercial success. Core Responsibilities Project Leadership: Drive the end-to-end lifecycle of AI/ML models and data engineering projects (from discovery to MLOps).Stakeholder Mastery: Manage executive expectations translating complex technical milestones into clear business value and ROI. Business Engagement: Partner with stakeholders to identify AI use cases and integrate data-driven solutions into business workflows. Agile Delivery: Navigate the iterative experimental nature of data science while maintaining strict project timelines and quality standards. RequirementsAI/ML Literacy: Strong understanding of ML lifecycles data pipelines and the challenges of scaling models in production. Elite Communication: Proven ability to influence stakeholders and simplify technical jargon for non-technical audiences. Experience: 5 years in Project Management with a dedicated focus on Data/AI/ML delivery. Strategic Mindset: Equally comfortable in a technical stand-up and a high-level business steering committee.
Onsite at Los Angeles CA Technical Project Manager: AI ML & DataWe are looking for a Technical Project Manager to lead high-impact AI/ML and Data initiatives. You will act as the vital link between data science teams and business leadership ensuring technical innovation translates into commercial su...
Onsite at Los Angeles CA Technical Project Manager: AI ML & DataWe are looking for a Technical Project Manager to lead high-impact AI/ML and Data initiatives. You will act as the vital link between data science teams and business leadership ensuring technical innovation translates into commercial success. Core Responsibilities Project Leadership: Drive the end-to-end lifecycle of AI/ML models and data engineering projects (from discovery to MLOps).Stakeholder Mastery: Manage executive expectations translating complex technical milestones into clear business value and ROI. Business Engagement: Partner with stakeholders to identify AI use cases and integrate data-driven solutions into business workflows. Agile Delivery: Navigate the iterative experimental nature of data science while maintaining strict project timelines and quality standards. RequirementsAI/ML Literacy: Strong understanding of ML lifecycles data pipelines and the challenges of scaling models in production. Elite Communication: Proven ability to influence stakeholders and simplify technical jargon for non-technical audiences. Experience: 5 years in Project Management with a dedicated focus on Data/AI/ML delivery. Strategic Mindset: Equally comfortable in a technical stand-up and a high-level business steering committee.
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