Engineering Manager

• Drive software business development by identifying, qualifying, and progressing new opportunities within the welding market.
• Own and grow a healthy sales pipeline together with local sales teams and channel partners.
• Develop commercial account plans for strategic customers and support negotiations to successfully close software opportunities.
• Identify upselling and cross-selling opportunities within existing customer accounts to maximize software adoption and recurring revenue.
• Represent ABB Robotics at industry events, customer workshops, and trade shows to increase market awareness and generate leads.
• Support go-to-market activities, including product launches, value proposition development, and sales enablement.

Global Welding Software Sales Manager

• Analyze and validate the project proposals received from affiliates/plants at international level
• Actively drive projects execution, ensuring effective management of both technical and organizational aspects
• Lead and facilitate technical discussions with suppliers and affiliates, fostering alignment and collaboration
• Liaise with the internal customers (affiliates), understanding their needs
• Communicate and coordinate with local teams, plant managers and other involved functions
• Assist local teams in the management and resolution of issues by providing guidance and transferring knowledge from other plants
• Identify best practices to be adopted at group level by extended benchmarking on specific and critical processes/methods
• Define main technical characteristics of equipment necessary to implement the investments supporting Prysmian strategy
• Define timing and budget of the projects to be evaluated / approved
• Coordinate all the steps from project definition to commissioning and start - up of equipment
• Support all affiliates in solving issues on process and machinery

Process & Machinery Engineering Manager

• Lead and grow a Consumer-oriented team: Own the day-to-day management of a squad of 3-5 engineers. Foster a culture of technical excellence, accountability, and continuous improvement while ensuring high team morale.
• People Management & Mentorship: Actively invest in the growth of your team members through regular 1:1s, actionable feedback, performance reviews, and identifying stretch opportunities to help them advance their careers.
• Drive delivery and technical execution: Translate product and business goals into a clear, predictable technical roadmap. Optimize agile workflows, unblock your team, and ensure reliable execution of ambitious projects.
• Collaborate across domains: Work closely with Product Managers, Designers, and other Engineering Managers to align on priorities, manage dependencies, and define shared engineering standards.
• Report up and communicate clearly: Keep leadership informed on team progress, risks, and blockers, effectively translating technical complexities into business-relevant terms.

Associate Engineering Manager – Consumer Wealth Domain

• Define, maintain, and evolve the Enterprise Data Architecture blueprint, including: Core enterprise data domains (Customer, Product/Material, Vendor, Pricing, Finance, Trade Compliance)
• Conceptual and logical enterprise data models
• Canonical data definitions and semantic
• Act as Design Authority for all data‑related initiatives, ensuring alignment with enterprise architecture principles.
• Define and enforce enterprise data standards (modeling, naming, semantics, integration).
• Collaborate closely with Enterprise, Solution, and Integration Architects.
• Own the enterprise Master Data Management (MDM) strategy and execution roadmap.
• Define domain prioritization (e.g. Customer, Product/Material) and rollout phases.
• Establish golden record, survivorship, hierarchy, and relationship‑management rules.
• Lead the design and implementation governance of the selected MDM platform
• Oversee data migration, cleansing, and harmonization activities linked to MDM adoption.
• Establish and run the Enterprise Data Governance operating model, including: Data ownership and stewardship framework
• Governance forums, decision bodies, and escalation mechanisms
• Define and monitor enterprise data quality rules and KPIs (completeness, accuracy, uniqueness, timeliness).
• Implement structured data issue management and remediation processes.
• Ensure data lineage, traceability, and auditability for critical business and regulatory data.
• Define and maintain System‑of‑Record (SoR) / System‑of‑Engagement (SoE) principles across : SAP (ERP, BW, GTS, Concur) Salesforce CRM MES systems (e.g. Promis, Critical Manufacturing) Quoting and pricing platforms Finance, Treasury, AP automation, and EDI solutions
• Resolve data ownership conflicts and duplication at enterprise level.
• Ensure consistent and governed data synchronization patterns across systems.
• Define enterprise canonical data models and data contracts for cross‑system integrations.
• Govern data flows implemented via SAP BTP, MuleSoft, and EDI platforms.
• Define integration patterns (API, event‑driven, batch, EDI) from a data semantics, integrity, and lifecycle standpoint.
• Ensure interface versioning discipline and backward compatibility.
• Ensure conformed dimensions and consistent master data usage across analytics and planning platforms (e.g. SAP BW).
• Align enterprise data definitions with KPIs, reporting, and planning use cases.
• Prevent multiple and conflicting versions of enterprise truth.
• Translate architectural and governance decisions into executable implementation backlogs.
• Review technical designs and ensure adherence to enterprise standards.
• Coordinate delivery with internal teams and external partners.

Engineering Manager jobs in Italy

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Global Welding Software Sales Manager

Process & Machinery Engineering Manager

Associate Engineering Manager – Consumer Wealth Domain

Head of Data Engineering & Analytics