12 melhores vagas de digital risk specialist para lisboa, p11 (Contratando agora!)

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Digital Transformation Specialist - Engineering Processes & AI

Siemens Energy -
Amadora

Candidate-se agora

Detalhes da oferta

Período Integral
Há 2 dias

Qualificações

Graduação

Descrição completa da oferta

A Snapshot of Your Day

As part of Grid Technologies Services Operational Excellence, you will support Engineering teams across the business segment in improving how work is performed. You will collaborate with engineering leaders, process owners, and technical experts across Transformer and Switchgear to identify opportunities to simplify processes and enable them through digital solutions, automation, data, and AI
You will contribute to initiatives from opportunity identification and requirements definition through piloting, implementation, adoption, and benefit tracking. The role combines hands-on process analysis with project coordination and close collaboration between Engineering, business stakeholders, IT, data, automation, and AI specialists

How You Will Make an Impact

Support Engineering teams across Transformer and Switchgear as their dedicated Operational Excellence contact for process improvement, digitalization, automation, data, and AI topics
Analyze end-to-end engineering processes, identify pain points, waste, and handoffs, and help design and implement more efficient future-state processes
Translate common standards and ways of working into practical process changes, digital workflows, controls, and reusable solutions
Coordinate digitalization and automation initiatives that improve productivity, quality, transparency, and delivery performance
Maintain and help prioritize a pipeline of improvement opportunities based on business value, feasibility, and implementation readiness
Identify practical AI use cases within engineering processes and support their development from problem definition and data assessment through proof of concept, MVP, rollout, and adoption
Translate business and engineering needs into clear requirements for IT, data, automation, AI, and other delivery partners
Define targets and track benefits such as cycle-time reduction, quality improvement, productivity gains, and user adoption
Support communication, change activities, training, and knowledge sharing to embed new processes and solutions in day-to-day work
Share progress, risks, decisions, and results with stakeholders and help scale successful solutions across teams and regions

What You Bring

A university degree in Engineering, Business, Information Technology, Digital Business, Computer Science, or a related field
Several years of relevant experience in process improvement, digital transformation, automation, AI, product management, or project delivery, ideally in an industrial environment
A strong process mindset and the ability to understand workflows, identify root causes, and turn improvement potential into practical measures
Experience supporting digital or automation initiatives from requirements and prototyping through implementation, rollout, adoption, and benefit tracking
Good understanding of AI opportunities and limitations, with the ability to identify realistic use cases and collaborate with technical specialists
Ability to connect business, engineering, data, and technology perspectives and communicate clearly with different stakeholder groups
Good project coordination and stakeholder management skills, with a proactive and collaborative way of working across functions and regions
A pragmatic, value-oriented approach focused on measurable impact, user adoption, and sustainable implementation
Familiarity with enterprise or engineering environments such as SAP, PLM, workflow platforms, data and analytics solutions, automation tools, or applied AI is an advantage
Lean or Six Sigma certification is beneficial
Fluency in English and willingness to travel internationally on an occasional basis

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

Competitive salary and meal allowance
Fair compensation for international work
Health insurance coverage
Remote work permitted within the country
Additional 5 “Pontes” days off and Birthday off if it falls on a weekday, when not abroad (only applies for Portugal)
Among others

https://jobs.siemens-energy.com/jobs

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digital risk specialist vagas para: lisboa, p11

Digital Transformation Specialist - Engineering Processes & AI

Senior Specialist, B&MI Product Management

IT Service Owner

Architecture Technician

Consultant(DPO)

Contract Manager

Data Engineering Lead W/M

Digital Transformation Specialist - Customer Service Supply Chain

People Analytics Specialist

Public Affairs Specialist

CHANGE MANAGER (AI ENABLEMENT & ADOPTION) (HYBRID)

AI Governance Specialist

Quero receber o alerta de ofertas mais recentes para digital risk specialist em lisboa, p11

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