Project Manager
Job Location:
Los Angeles, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Onsite at Los Angeles CA
Technical Project Manager: AI ML & Data
We 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.
Requirements
AI/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.
Qualifications - External
Technical Project Manager: AI ML & Data
We 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.
Requirements
AI/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.
Internal Description
Description - Internal
Technical Project Manager: AI ML & Data
We 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.
Requirements
AI/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.
Qualifications - Internal
Technical Project Manager: AI ML & Data
We 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.
Requirements
AI/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.
Required Experience:
IC
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.
