Senior Consultant Digital Manufacturing & AI enabled operations

EY; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Laptop provided

29 vacation days

Mobility budget

Wellbeing platform

Training programs

Job summary

EY is seeking a Senior Consultant Digital Manufacturing & AI-enabled Operations in Amsterdam. You’ll work with multidisciplinary teams to improve asset-intensive operations using data, AI, and IIoT, from assessment to adoption.

Strong analytical and collaboration skills are essential to deliver measurable value for clients. You’ll lead data-driven analyses, develop practical digital solutions, and support proposals and market material.

Qualifications

• Minimum three years of experience in industry, consulting, technology, or engineering.
• Strong interest in digital manufacturing, asset management, AI, and emerging technologies.
• Experience with operational excellence, maintenance, IoT, digital twins, or AI-enabled operations.
• Master’s degree in a relevant technical or engineering discipline.
• Strong analytical and problem-solving capabilities; able to translate requirements into solutions.
• Fluent English; Dutch proficiency is an advantage.
• Willingness to travel within the Netherlands or internationally.

Responsibilities

• Analyze manufacturing and asset-management processes to identify performance gaps.
• Define practical digital solutions including IIoT, connected operations, predictive maintenance, digital twins, simulation, and AI.
• Take responsibility for defined project activities or workstreams from analysis to adoption.
• Collect and analyze operational data to identify root causes and opportunities.
• Support definition and tracking of outcomes like uptime, maintenance costs, and productivity.
• Collaborate with client teams across operations, IT, OT, and engineering.
• Prepare analyses, presentations, recommendations, roadmaps, and implementation plans.
• Support proposals, client demonstrations, and market materials for Digital Manufacturing opportunities.
• Contribute to EY’s Digital Manufacturing capabilities with reusable methods and accelerators.

Skills

Digital manufacturing

AI-enabled ops

Analytical thinking

English fluency

Education

Master’s degree in Industrial Engineering & Management

Job description

Senior Consultant Digital Manufacturing & AI enabled operations

Other locations: Primary Location Only

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Digital manufacturing and asset management have moved from operational improvement initiatives to strategic business imperatives. Organizations face increasing pressure from aging assets, workforce shortages, supply chain volatility, sustainability requirements, and the need to improve productivity. Advanced technologies such as Physical AI, Industrial IoT, digital twins, predictive maintenance, and connected operations enable companies to optimize asset performance, reduce downtime, and improve decision-making at scale. Companies that invest now can capture significant value through higher equipment reliability, lower maintenance costs, increased operational efficiency, and improved capital allocation. That conviction is at the heart of EY’s Digital Manufacturing practice. We combine deep industry expertise, advanced technology capabilities and proven operating models to help clients translate digital ambition into measurable operational and financial results.

Confidence in your impact today | Freedom to build tomorrow

As a Senior Consultant Digital Manufacturing & AI-enabled Operations, you will work with multidisciplinary teams to help industrial clients improve their manufacturing and asset-intensive operations through data, digital technologies, and AI. You will combine analytical thinking with hands‑on delivery, supporting clients from initial assessment and solution design through implementation and adoption. From AI operating model strategies to implementing digital technologies such as IIoT, connected operations, predictive maintenance, simulation and Digital Twin, ultimately leading to the Factory of the Future and autonomous operations. If you want to see Digitization and Physical AI move from slide to shop floor, we’d like to talk to you.

Your new job | About your main responsibilities

• Analyze operational challenges: Assess manufacturing and asset-management processes to identify performance gaps and opportunities related to productivity, reliability, maintenance, quality, safety, sustainability, and workforce effectiveness.
• Translate challenges into solutions: Help define practical digital solutions that address business and operational needs. These may include Industrial IoT, connected operations, predictive maintenance, digital twins, simulation, advanced analytics, and Physical AI.
• Support transformation programs: Take responsibility for defined project activities or workstreams, from analysis and design through implementation, testing, rollout, and adoption.
• Develop data-driven insights: Collect and analyze operational, maintenance, and asset data to identify root causes, improvement opportunities, and potential business value.
• Contribute to measurable results: Support the definition and tracking of outcomes such as increased equipment availability, reduced downtime, lower maintenance costs, higher productivity, improved quality, and better capital efficiency.
• Collaborate with client teams: Work closely with operations, maintenance, engineering, IT, OT, data, and business stakeholders to develop solutions that are technically feasible and operationally practical.
• Support client deliverables: Prepare clear analyses, presentations, recommendations, business cases, roadmaps, process designs, and implementation plans.
• Contribute to business development: Support the preparation of proposals, demonstrations, client presentations, and market materials for Digital Manufacturing and AI-enabled Operations opportunities.
• Help build the practice: Contribute knowledge, reusable methods, accelerators, case studies, and insights to strengthen EY’s Digital Manufacturing capabilities.

Delivery

In this role, you will contribute directly to client engagements and take ownership of clearly defined deliverables or project workstreams. Your responsibilities may include:

• Conducting digital manufacturing, maintenance, and asset-management maturity assessments.
• Mapping operational processes and identifying improvement opportunities across production, maintenance, quality, supply chain, engineering, and other operational functions.
• Supporting the development of digital manufacturing and asset-management strategies, operating models, and transformation roadmaps.
• Gathering business and technical requirements from client stakeholders and translating them into functional use cases and solution requirements.
• Supporting business cases that connect digital investments to operational and financial outcomes, including uptime, maintenance expenditure, productivity, quality, energy consumption, and capital efficiency.
• Contributing to the design and implementation of solutions such as predictive maintenance, connected worker, digital performance management, digital twins, Industrial IoT, advanced analytics, and Physical AI.
• Working with IT and OT specialists to support data integration and solution design across industrial equipment, control systems, historians, manufacturing systems, and enterprise platforms.
• Supporting change-management and adoption activities to embed new technologies, processes, governance, and ways of working.

Your skills and strengths | About your unique contribution

• A minimum of three years of relevant professional experience in industry, consulting, technology, or engineering, preferably within manufacturing, high tech, utilities, energy, chemicals, or oil and gas.
• A strong interest in digital manufacturing, asset management, industrial operations, data, AI, and emerging technologies.
• Experience with, or demonstrable knowledge of, one or more relevant areas such as operational excellence, maintenance and reliability, Industrial IoT, connected worker, manufacturing analytics, predictive maintenance, digital twins, simulation, automation, or AI-enabled operations.
• A completed master’s degree in Industrial Engineering and Management, Business Administration, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or another relevant technical or engineering discipline.
• Strong analytical and problem-solving capabilities, with the ability to structure complex problems and turn data into practical recommendations.
• The ability to understand operational processes and translate business requirements into functional or technical solutions.
• A basic understanding of industrial IT and OT environments, including the role of industrial equipment, control systems, data historians, Manufacturing Execution Systems, asset-management platforms, and enterprise applications.
• Strong communication and presentation skills, with the ability to explain complex subjects clearly to both technical and non-technical stakeholders.
• A proactive, curious, and collaborative working style, with the confidence to ask questions, challenge assumptions, and contribute ideas.
• A pragmatic and results-oriented mindset, with attention to quality, detail, planning, and timely delivery.
• Fluent written and spoken English. Proficiency in Dutch is an advantage.
• Willingness to work at client locations and travel within the Netherlands or internationally when required.

Your benefits | About your perks and work enjoyment

• A competitive salary that reflects your role and responsibilities, depending on experience and qualifications. Plus, a solid pension plan for the future. In addition to your salary, you’ll receive holiday allowance and an annual bonus (based on performance and development).
• A laptop and phone for both work and personal use, and a monthly internet allowance.
• 29 vacation days to recharge and unwind, plus the option to buy extra days.
• With the mobility budget, you decide how you travel. Choose a lease car, a discounted public transport subscription, or arrange transport easily via our app.
• At EY, we care about a healthy work-life balance. Hybrid working makes this easier. Whether you're working from the office, at a client, or from home, we’ll make sure you have a well‑equipped home office.
• The opportunity to work up to 20 days per year from abroad.
• The option to swap 3 national holidays for non-national ones.
• You’ll have the space to grow both personally and professionally. Whether you want to deepen your expertise, develop your personality, or improve your leadership style, we offer a broad range of trainings and courses.
• Your well‑being is our priority. We believe that when you feel good, you perform better. That’s why you’ll have access to the OpenUp wellbeing platform (including for your family). You can easily connect with psychologists and lifestyle experts within 36 hours and take part in wellbeing sessions.

All this within an environment where our core values of integrity, inclusiveness, and respect are central. We think it’s important that you can be yourself and fully develop into the best version of yourself. Curious about all our benefits? Click here .

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.