About the job
Join Continental as we expand our AI initiatives, seeking an AI Project Manager who excels in aligning business objectives with technical implementation. In this role, you will collaborate closely with business project managers to oversee multiple AI projects, coordinating cross-functional teams comprising Data Scientists, ML Engineers, Data Engineers, Product Owners, IT professionals, and domain experts to deliver tangible results.
While you aren't required to be a senior developer, a solid technical foundation is necessary to facilitate discussions about solution strategies, interpret basic code, and keep teams moving forward without obstacles.
Main Responsibilities:
- Delivery Leadership: Oversee the comprehensive delivery process for various AI products, including defining scope, timelines, dependencies, milestones, and risk management in partnership with business project managers;
- Backlog and Roadmap: Transform business objectives into epics and user stories with unambiguous acceptance criteria, prioritizing these in collaboration with Product Owners and stakeholders;
- Team Orchestration: Facilitate collaboration among Data Scientists, ML Engineers, Data Engineers, Product Owners, IT, and domain experts engaged in LLM, Computer Vision, and predictive analytics projects;
- Stakeholder Management: Ensure effective communication with business sponsors, IT, security, and compliance, document decisions, and proactively eliminate roadblocks;
- Value Tracking: Establish success metrics for business impact and models, track progress against KPIs and OKRs, and conduct go/no-go assessments for releases;
- AI Lifecycle Governance: Promote best practices for data management, experimentation, versioning, deployment, monitoring, and incident response, in line with MLOps and internal standards;
- Vendor and Partner Coordination: Manage statements of work, deliverables, risks, and timelines for external partners, ensuring their outputs align with internal standards;
- Quality and Compliance: Advocate for regular code reviews, reproducibility, documentation, and secure data handling consistent with PT HUB practices.