AI Delivery Lead: GenAI & ML Solutions

Siemens; Amadora; Presencial; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid model

Home office budget

Health insurance

Learning platforms and mentoring

Sustainability and volunteering

Resumo da oferta

Siemens Global Business Services in Portugal seeks an AI Delivery Lead to own end-to-end AI project delivery and business value. You will guide cross-functional teams, translate business needs into AI solutions, and ensure successful deployment and continuous improvement.

The role requires strong PM skills, 7+ years in AI/D&A, and deep understanding of ML lifecycles, GenAI concepts, and MLOps. A hybrid/onsite model with ongoing learning opportunities is offered.

Qualificações

• Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Information Technology, Business Management or a related field.
• 7+ years of professional experience in project management roles in AI, Data & Analytics or Digital Transformation.
• At least 3+ years working as a project manager for AI/ML projects; this is mandatory.
• Proven experience managing software, AI, or data-driven projects in agile environments is mandatory.
• Experience managing delivery teams, project budgets, and business stakeholders is mandatory.
• Experience as a project manager in a consulting environment is highly valued.
• Experience in a technical/developer role in AI is highly valued.
• Experience in a Shared Services or Global Business Services organization is valued.
• Experience as a product/service manager in a SaaS environment is valued.
• Solid knowledge of project management methodologies, especially Scrum and PMI-PMBoK, is mandatory.
• PMI certification is highly valued.
• Good understanding of Machine Learning lifecycle, model development, deployment, and monitoring.
• Practical knowledge of Generative AI concepts, including LLMs, RAG architectures, prompt engineering, AI agents, and foundation models.
• Familiarity with MLOps practices and AI deployment platforms is valued.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is valued.
• High proficiency in English is mandatory.

Responsabilidades

• Project & Delivery Management: Manage the execution of AI projects, ensuring delivery on scope, timeline, budget, and quality objectives.
• Lead multidisciplinary teams including data scientists, AI engineers, ML engineers, MLOps specialists, and business analysts.
• Coordinate internal teams, external providers, and consulting partners.
• Drive agile delivery practices and oversee planning, sprint reviews, release management, and continuous improvement.
• Manage risks, dependencies, escalations, and issue resolution.
• Ensure AI services adhere to organizational security, compliance, privacy, and governance requirements.
• Work closely with AI engineers, data scientists, architects, and business stakeholders to refine requirements.
• Define and maintain solution features, user stories, and acceptance criteria.
• Build business cases for AI investments and track realization of expected benefits.
• Translate business requirements into actionable technical deliverables.
• Build strong relationships with senior leaders, process owners, and operational teams.
• Communicate service status, roadmap progress, risks, and value realization to stakeholders.
• Analyze existing business processes and identify opportunities for efficiency, automation, and optimization.
• Design future-state processes and support business transformation initiatives.
• Identify operational challenges, bottlenecks, and risks and propose solutions.
• Establish and document process flows, business rules, and operating procedures.

Conhecimentos

Project management

AI/ML delivery

Agile (Scrum)

Stakeholder management

Budget management

Cloud platforms

English proficiency

Formação académica

Bachelor's or Master's degree in CS/IT/Data Science

Descrição da oferta de emprego

Siemens Global Business Services in Portugal seeks an AI Delivery Lead to own end-to-end AI project delivery and business value. You will guide cross-functional teams, translate business needs into AI solutions, and ensure successful deployment and continuous improvement.

The role requires strong PM skills, 7+ years in AI/D&A, and deep understanding of ML lifecycles, GenAI concepts, and MLOps. A hybrid/onsite model with ongoing learning opportunities is offered.