Full-Time
General Project Manager
Posted on 8/13/2025
Hitachi
10,001+ employees
Diversified tech conglomerate delivering digital solutions
No salary listed
Siena, Italy
In Person
Willingness to relocate abroad for at least 3 years; local profiles preferred.
 Business & Strategy (1) |
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- University Degree on Engineering (Electronic, Telecommunication or informatics) or with equal knowledge matured during the professional experience
- Experience of at least 10 years as PM or GPM
- Experience of at least 5 years in projects relevant to Signalling, Communication and Control systems
- Good technical background of the solutions concerning the Signalling, Communications system, Control systems, Security systems, Passenger information comfort system used in the Tramway, Metro or Railways environment
- Optimal knowledge of Italian language is a plus
- Optimal knowledge of English language to daily works within foreign interlocutors and within international and multi-cultural contexts
- Knowledge of Arabic language is a plus
- The selected candidate will be located abroad for at least 3 years; local profiles are preferred
- Available to Business Missions on worldwide basis
- Job experience having worked (for a period not less than three years respectively) in two or more counties
- High ability to manage team and resources not necessarily reporting hierarchically
- Strong competencies in organization and coordination of multiple and remote-located teams
- Autonomy, entrepreneurs and proactivity attitude and behaviors
- Oriented to the Business and able to understand and Manage the Business (behind the Project itself)
- High seniority and long experience to manage project with high complexity and a very difficult contexts, with challenging targets, within a multicultural and international environment facing multi-disciplinary technical aspects and areas
- Responsible for correct managing the Project, ensuring the predefined results on time and within budget and with expected level of Quality
- Ensures full compliance with Safety Requirements and full implementation of the Safety Plan throughout the project in close cooperation with the Safety Manager
- Define and develop the Customer relationship strategy: understand the client environment, determine the client’s interfaces and identify client responsibilities
- Identify all and each project stakeholder, understand their environment and their influences and/or expectation on the projects, and then define a plan for manage each of them in the project interest (according - wherever possible - to a win-win approach)
- He/she plans and coordinates, interfacing with the team members and the company functions, activities and resources of the project for the fulfillment of the project objectives (milestones contract)
- He/she manages the contractual terms of the project
- He/she organizes and plans the project with appropriate management tools (i.e. Primavera)
- He/she supervises and controls the production / product integration of project-related systems, which includes the entire supply chain of the specific activities of the project and its products, interfacing with suppliers and engineering
- He/she check the progress of the project activities, in reference to the planned timetable
- He/she monthly monitor the profit of the project and identify and implement (and/or assure the implementation) of the necessary action plans to maximize the profit
- He/she supervises and monitors and through - the assigned PMs - coordinates and the validation and verification of the system both in the factory and on-site, in order to get the customer validation, and commissioning of the plant
- He/she supervises, coordinates and supports the System Engineer and Deployment and Customer Services during the installation and commissioning phases, maintenance and warranty
- He/she is supported by the Project Design Authority who report at project level to GPM
- Support the preparation and validate the project Statement of Work (baseline): confirm the scope, contractual issues and validate risk assumptions
- Establishes the project structure including the project management organization and project team organization
- Set-up the project team and assign project roles and responsibilities to individuals
- He/she primarily manages the assigned PMs which are leading and managing part of the projects assigned to the GPM
- Establishes internal targets in line with Contract requirement and expectations
- Establish and implement the Project Management Plan (PMP)
- Approves the general organization procedures (including the PQP) and all contractual procedures to be reviewed and approved by the Employer
- Approves processes and general procedures (including progress measurement and performance measurements procedures)
- Manages the project risks including contingency plans and risk mitigation
- Defines the project key progress and performance indicators (schedule, budget, quality)
- Manages with the Employer all the activities related to Variation to Contractual Scope of Work
- He/she represents the company and specifically the project in front of the customer assuring solutions purchased and the required results
- He/she is focus in anticipation, especially in risks and opportunities management
- Closes-out the project
- Optimal knowledge of Italian language is a plus
- Knowledge of Arabic language is a plus
Hitachi is a global conglomerate that provides energy solutions, digital transformation services, home appliances, and infrastructure projects to governments, businesses, and consumers. Its offerings turn data into insights to optimize operations and support sustainable development, with Hitachi Energy focusing on renewable energy and grid solutions. It differentiates itself through an integrated portfolio across hardware, software, and services, backed by a long history and a focus on societal impact. Its goal is to build a sustainable society by using data and technology to improve energy efficiency, infrastructure resilience, and quality of life.
Company Size
10,001+
Company Stage
IPO
Headquarters
Tokyo, Japan
Founded
1910
Simplify's Take
What believers are saying
- Digital Systems & Services generated 2,598.6 billion yen in FY2023 from Lumada expansion.
- Vaasa plant doubles capacity by 2027 to meet AI data center transformer demand.
- Oklahoma MOC on May 4, 2026, boosts energy infrastructure and manufacturing collaborations.
What critics are saying
- EU antitrust blocks Clever Devices acquisition in 3-6 months, halting mobility expansion.
- NVIDIA Metropolis erodes Lumada differentiation in 12-24 months via rail data insights.
- Siemens MindSphere captures smart factory share in 6-12 months with AWS scalability.
What makes Hitachi unique
- Lumada platform integrates IIoT for edge-to-cloud smart factory data flows.
- HMAX AI suite powers digital asset management across rail and energy systems.
- Connective Industries segment delivers semiconductor metrology and particle therapy equipment.
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Benefits
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↓ -4%1 year growth
↓ -4%2 year growth
↓ -4%Hitachi energy unveils ecospace, its new digital sustainability platform.
Hitachi Digital Services: scaling the IIoT data backbone. April 09, 2026 Ganesh Bukka, Vice President & Global Head Industry 4.0 at Hitachi Digital Services, explains how IIoT and edge-to-cloud data can scale smart factories While talk of smart factories is everywhere, few have yet found success in scaling these technologies. To achieve this growth, manufacturers need to do more than just connect machines. Ganesh Bukka is Vice President & Global Head Industry 4.0 at Hitachi Digital Services and has cracked the code on moving from experiments to rollout. How do you define a smart factory today? A smart factory today digitalises the core of a traditional manufacturing environment by unifying the edge-to-cloud journey. Unlike conventional setups, it leverages real-time data from interconnected machines, systems and processes to optimise every stage of production - from supply chain operations through manufacturing and delivery. By creating a dynamic and responsive environment, smart factories enable manufacturers to adapt quickly to changing market demands, improve efficiency, reduce costs and consistently ensure product quality. At its core, a smart factory is an intelligent ecosystem where digital technologies seamlessly connect machines, processes and people to drive continuous improvement and business value. A strong example of this evolution is its Hagerstown Advanced Rail Digital Factory, where these principles have been put into practice to create a truly cutting-edge smart factory model. Another example is Hitachi's Omika Works factory, which was recognised by the World Economic Forum as an Advanced 4th Industrial Revolution Lighthouse. Where does IIoT fit within this ecosystem? IIoT sits at the foundation of the smart factory ecosystem. It acts as the connective layer that links machines, sensors, systems and people across the shop floor and enterprise. Without IIoT, there is no reliable flow of real-time operational data to power analytics, AI models, digital twins or sustainability platforms. In practical terms, IIoT enables data acquisition from critical assets, supports edge processing for low-latency decision-making and integrates operational data with enterprise systems such as MES, ERP and cloud platforms. It provides the visibility and contextualised data needed for predictive maintenance, quality optimisation, energy management and connected worker solutions. Ultimately, IIoT serves as the backbone of the smart factory, transforming standalone equipment into intelligent, connected assets and establishing the data foundation for AI, industrial edge computing and Industry 5.0 capabilities. Initiatives such as the Hagerstown Advanced Rail Digital Factory and Hitachi Omika Works, developed by Hitachi, illustrate how this connectivity translates into real-world operational transformation. What role do sensors play in the edge-to-cloud journey? Sensors are the starting point of the edge-to-cloud journey. They serve as the primary data generators within a smart factory, capturing real-time information on machine performance, environmental conditions, product quality, energy consumption and asset health. Without accurate and reliable sensor data, the rest of the digital ecosystem cannot function effectively. At the edge, sensor data is processed locally to enable low-latency, mission-critical decisions - such as anomaly detection, quality inspection or safety alerts. This ensures rapid response times and minimises downtime. As the data moves to the cloud, it is aggregated, contextualised and analysed at scale to power advanced analytics, AI models, digital twins and enterprise-level optimisation. In essence, sensors are the foundation of the edge-to-cloud architecture - they transform physical operations into digital insights, enabling real-time control at the edge and strategic intelligence in the cloud. What key success factors have you seen enable smart factory initiatives to scale? Manufacturing Digital has all seen pilot projects that demonstrated real potential but never scaled beyond individual sites. These experiences have reinforced an important lesson: efficiency and connectivity alone are not enough. What truly enables smart factory initiatives to scale is a holistic approach - one that brings IT and OT together, prepares and upskills the workforce, strengthens cybersecurity and builds maturity around data, governance and operating models. Manufacturing Digital has seen this approach deliver real results with global manufacturers, including a large automotive client where Manufacturing Digital successfully scaled smart factory capabilities across multiple sites, demonstrating what true smart factory impact looks like in action. How do you approach retrofitting older assets with IIoT connectivity? Retrofitting older assets with IIoT connectivity starts with a pragmatic, value-driven mindset. Because most brownfield environments were never designed for connectivity, the first priority is identifying high-impact use cases - such as predictive maintenance, energy monitoring or quality improvement - where measurable outcomes can be achieved. From a technical standpoint, this typically involves deploying non-intrusive sensors, edge gateways and protocol converters to capture machine data without interrupting operations. Edge devices normalise legacy protocols, enable local processing for low-latency decision-making and securely transmit contextualised data to enterprise or cloud platforms for scalable analytics. Cybersecurity must be embedded from the outset, especially when integrating legacy equipment that lacks modern safeguards. Equal emphasis should be placed on data contextualisation - mapping assets, structuring tags and integrating with manufacturing and enterprise systems so that captured data becomes actionable rather than merely available. Ultimately, successful retrofitting is less about connecting everything immediately and more about prioritising value, minimising operational disruption and establishing a scalable pathway into the broader smart factory ecosystem. How are advanced analytics and AI changing modern factories? Advanced analytics and AI are transforming modern factories by enabling a more human-centric, resilient and sustainable operating model, while moving intelligence closer to the industrial edge. Instead of relying solely on centralised systems, manufacturers are increasingly adopting Industrial Edge AI to make real-time, mission-critical decisions at the point of operation - reducing latency, improving accuracy and minimising downtime. At Hitachi, Manufacturing Digital has been investing significantly across these areas and its solutions bring this transformation into real-world operations. For example, its Automated Quality Inspection system at the Hagerstown Advanced Rail Digital Factory combines human-AI collaboration with industrial edge technologies to improve quality outcomes and operational efficiency. Manufacturing Digital also partnered with a global automotive leader on a Manufacturing Digital Transformation (MDT) programme, implementing a connected factory platform by identifying and integrating critical equipment and sensors to enable predictive and adaptive analytics. In parallel, Rita ONE, its sustainability suite, helps manufacturers embed ESG objectives directly into day-to-day factory operations. How critical is the underlying IIoT architecture to data streams? The underlying IIoT architecture is central to the reliability, scalability and business value of smart factory data streams. While sensors generate data, architecture determines whether that data is secure, contextualised, real-time and actionable. A well-designed foundation enables seamless ingestion from heterogeneous assets, normalises legacy and modern protocols, supports edge processing for low-latency decisions and integrates smoothly with cloud platforms and enterprise systems such as MES and ERP. It also embeds cybersecurity, governance and scalability by design, ensuring consistency as deployments expand across plants. This was evident in an MDT programme delivered for a global automotive leader, where a robust IIoT architecture enabled standardised data models, scalable analytics and measurable operational improvements across multiple facilities. Could you share a few success stories from smart factory implementations? Manufacturing Digital has delivered several impactful smart factory implementations across industries. For a global FMCG client, Manufacturing Digital deployed an AR- and ML-based solution that significantly improved frontline worker productivity and execution efficiency. At its Hagerstown Advanced Rail Digital Factory, Manufacturing Digital has driven IT-OT-AI innovation using GenAI-powered quality inspection, computer vision, the Spot robot and industrial metaverse capabilities, creating a highly advanced digital manufacturing environment. Manufacturing Digital has also helped clients advance their sustainability goals through Rita ONE, its ESG and sustainability reporting solution. In another engagement with a multinational tyre manufacturer, Manufacturing Digital leveraged advanced AI/ML models to implement advanced process control, enabling the prediction of critical quality metrics and improved process stability. Additionally, Manufacturing Digital has delivered Digital Twin-based factory simulations using the NVIDIA Omniverse platform, enabling manufacturers to model, optimise and de-risk factory operations before deploying changes in the physical environment. Executives. * Ganesh Bukka Vice President & Global Head Industry 4.0. Company portals.
Hitachi Rail has acquired Clever Devices, a leading intelligent transportation technology provider, as part of its strategy to transform public mobility from asset management to system orchestration. The deal comes amid renewed interest in public transport following energy price shocks linked to Middle East conflicts. The acquisition builds on Hitachi Rail's recent moves to digitalise rail systems. In 2023, the company launched HMAX, an AI-powered digital asset management platform developed with Nvidia and Google Cloud. Earlier acquisitions include Perpetuum in 2021, enabling predictive maintenance using data analytics, and Omnicom from Balfour Beatty, which provides real-time track monitoring. These technologies collect thousands of data points from trains, tracks, power supplies and signalling equipment. With public transport use expected to double globally by 2050, Hitachi aims to improve capacity and reliability using existing infrastructure.
Hitachi announces acquisition of U.S. Transportation company to accelerate digitalization in mobility business. April 3, 2026, 15:29 Hitachi announced on the 3rd that it will acquire Clever Devices, a U.S. company with strengths in digitalizing systems for public transportation such as buses. The acquisition amount is on the scale of hundreds of billions of yen. The aim is to expand Hitachi's mobility business, which had been specialized in the railway sector, beyond railways to public transportation and accelerate digitalization using artificial intelligence (AI) technology. Hitachi Rail, which handles Hitachi's railway operations, has entered into a contract with Clever Devices. The acquisition is expected to be completed within the year after regulatory approvals. Clever Devices is headquartered in New York State and has about 600 employees. It is known for its advanced technology in areas such as operation management systems for public transportation, passenger services like audio announcements, and improving operational efficiency. Through this acquisition, Hitachi also aims to advance the optimization of energy management in public transportation and reduce greenhouse gas emissions.
Hitachi Digital Services has launched a Manufacturing Operations Management platform to strengthen integration between operational and information technology systems. The platform aims to transform discrete manufacturing sites into smart factories and expand Hitachi's HMAX Industry solutions portfolio. Built on open, modular architecture, the MOM platform delivers real-time traceability from design through manufacturing, enables data-driven decision-making, and supports scalable workflows. The technology has been refined across over 100 manufacturing sites and will initially power Hitachi Group factories through a "Customer Zero" approach. The platform targets asset-heavy sectors including energy, high tech, manufacturing and transportation. Hitachi plans to integrate the MOM capabilities with advanced AI to address Industry 5.0 challenges such as scalability and supply chain integration.