AI Delivery Lead (m/f/d) at Siemens

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

This Full time on site position offers great opportunities for career growth.

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.

Our portfolio comprises services driven by expertise and the latest technology – with a strong focus on innovation and digitalization in areas like Finances, Business Administration, Human Resources, Procurement, Sales and After-Sales.

In our GBS Western Europe and Africa Hub we are already more than 1500 connected people, from over 50 different nationalities spread across 14 countries. If you value diversity and innovation, you’ll feel right at home here!

Discover our purpose, culture, and what makes GBS unique!

GBS Digital Solutions (DS) co-create state-of-the-art solutions to boost digital business value with innovative technology and a powerful partner ecosystem. Our digital service portfolio covers: Digital Advisory Services, Business Process Management, Integration Layer, GenAI and Agentic AI, Advanced Analytics, Robotic Process Automation and Tech Operations.

The AI Delivery Lead is accountable for the end-to-end lifecycle, delivery, and business value of AI-powered projects and solutions. This role bridges business and technology, ensuring that Machine Learning (ML), Generative AI (GenAI), and Agentic AI solutions are successfully developed, deployed, operated, and continuously improved to meet business objectives.

The AI Delivery Lead leads cross-functional project teams, manages project budgets and financials, prioritizes delivery backlogs, manages project execution and engages stakeholders across business and IT. While not a hand-on developer, the role requires sufficient technical expertise in AI/ML technologies to effectively guide backlog planning, manage scope, assess risks, drive timely delivery, clarify requirements and run business process analysis with stakeholders.

This is a customer facing role that is about more than project management; it actively encompasses engaging stakeholders to understand use cases and business needs and liaising with our AI experts to turn business understanding into project proposals for impactful AI solutions.

Your mission will be…

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.

Stakeholder Management

• 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.

Process Improvement & Transformation

• 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.

We are looking for someone with…

• 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. This is mandatory.
• 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.

What We Offer

• Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.
• Flexibility that Works: Hybrid model, flexible hours, and a home office budget - because balance fuels performance.
• Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.
• Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.
• Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.

#Siemens Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!