Engineering Manager

Position OverviewThe IT Financial Services Analytics Team Lead is responsible for managing a team dedicated to implementing and maintaining analytics solutions for the IVECOGROUP Financial Services department. This role ensures the delivery of high-quality analytics services, supports business stakeholders in identifying analytics needs, and leads the evolution and modernization of data analytics platforms in alignment with IT standards and governance.Key ResponsibilitiesManage and mentor a team responsible for analytics and reporting solutions, ensuring optimal service levels and continuous professional development.Lead end-to-end implementation of reporting and analytics solutions, ensuring adherence to IT standards, governance, and security policies.Coordinate activities of external system integrators and internal stakeholders, ensuring timely and high-quality project deliverables in line with SLAs.Manage the budget for Financial Services Analytics initiatives and oversee resource allocation.Business Partnership & Solution DeliveryCollaborate with Financial Services business stakeholders to collect, analyze, and prioritize business analytics requirements for enhancements and major projects.Translate business requirements into technical solutions, ensuring integration with the IVECO Group systems landscape.Define and maintain a stable, efficient, and high-performance analytics and reporting platform.Governance & Continuous ImprovementEnsure all analytics solutions comply with IT policies, including standard applications, software platforms, and security requirements.Foster the evolution and modernization of data analytics solutions, driving both continuous improvement and change management.Monitor and report on key performance indicators (KPIs) related to service and application availability, provisioning times, and application improvements.Education & ExperienceMaster degree in applied economics, computer science, or a related field, or equivalent experience in end-to-end implementation of Business Intelligence (BI) projects.Good knowledge of Financial Services business processes.2+ years of experience with SAP environments, preferably with Banking (CML, FMS) and FI modules.Proven experience with business analytics tools (e.g., QlikSense, DataBricks).Experience sourcing data from diverse systems, with a strong understanding of data models and ETL procedures.Advanced knowledge of SQL scripting, database architecture/design, and exposure to big data concepts.Excellent analytical, communication, and teamwork skills.Strong ability to work directly with internal and external customers to define and design project requirements.Understanding of ICT architecture, standards, and cybersecurity technologies.Experience in data quality, data cleaning, and data transformation processes.Ability to manage project expectations, deliverables, and stakeholder relationships.Technical Lead in ambito Data Analysis (Rif. )PROFILOCOMPETENZE TECNICHEThe job search refers to candidates of both gendersResearch, Data & Market Analysis Specialist (Cat. II)00118 rome, Calore NTU International A/SNTU International A/S is leading a consortium for the implementation of the EIB funded project called: EV Charging Infrastructure - Market Study (CNC) and is searching for experts to support the core team during the implementation of this project.The overall objective of this assignment is to develop a comprehensive, sector-wide analysis of publicly accessible urban EV charging infrastructure across the EU, providing a consolidated understanding of the main characteristics and conditions that shape neighbourhood, destination and urban hub charging segments.Duration: The intended start date is March 2026 and the services shall be provided for a period of 16 months from this date.Key Expert: Research, Data & Market Analysis Specialist (Cat. II)Qualifications and skills:At least a Bachelor’s degree in Economics, Data Science, Engineering, Geography, Urban Planning, Environmental Sciences, or another field relevant to the Assignment. (Minimum requirement)Working command of English language (CEFR C1). (Minimum requirement)At least 10 years of professional experience in research, data analysis, mobility studies, infrastructure market assessment. (Minimum requirement)At least 6 years of experience conducting analytical or research work related to transport, mobility, energy systems, or EV charging/alternative‑fuel infrastructure. (Minimum requirement)Demonstrated experience in comparative assessments, benchmarking studies, market analysis, policy review, or regulatory analysis for public authorities or infrastructure sectors, evidenced by at least 2 assignments. (Minimum requirement)Specific experience in qualitative and quantitative research methods, including structured interviews, data collection, cross‑jurisdictional comparison, and synthesis of findings into standardised outputs. (Minimum requirement)Experience preparing case studies, analytical reports, or structured comparative frameworks for mobility, transport, energy or infrastructure topics. (Asset)Experience engaging with stakeholders such as municipalities, operators, regulators, or technical agencies for data collection, interviews, or validation. (Asset)If you are interested in this opportunity, please apply and upload your CV via LinkedIn or sent to Due to the large number of applicants, only shortlisted candidates will be contacted.Attitudine al problem solving.40139 Bologna, Emilia Romagna Ecol Studio_LifeanalyticsRequisitiWe are Pramac, a Generac Company, leading the evolution to more resilient, efficient, and sustainable energy solutions. Established in 1966, we have always evolved, expanding our product portfolio and becoming the global benchmark for the production of generators and warehouse material handling equipment. Our diverse business lines ensure the company is a leading player in a wide variety of global markets.Project Manager – Data CenterDirectly reporting to the General Manager of Italy, the ideal candidate will be responsible for leading and coordinating data center projects from inception to delivery, ensuring they are executed on time, within scope, and to the highest quality standards. This role requires strong project management capabilities, technical knowledge of battery energy storage solutions and the ability to collaborate across multiple functions including R&D, Sales, Operations, and Customers.Manage complex projects related to customized power solutions for data centers.Serve as the primary point of contact between Pramac and customers during project execution.Define project scope, goals, deliverables, and timelines in collaboration with stakeholders.Lead cross‑functional project teams (Engineering, Procurement, Production, Quality, etc.) to ensure successful project execution.Develop Project Management Plans and monitor the progress.Ensure technical compliance with data center requirements and international standards.>Prepare and maintain project documentation, status reports, and technical specifications.Support the Sales and Business Development teams with technical input and feasibility assessments for new data center opportunities.Continuously identify opportunities to improve processes, reduce costs, and increase efficiency in project execution.Requirements:Bachelor’s or Master’s degree in engineering (Electrical, Mechanical, or related field).Proven experience managing projects in the data center/power generation sectors or related field is highly preferred.Strong technical understanding of energy storage systems or backup power solutions.Proven track record of managing complex, customer‑facing projects.Excellent organizational, leadership, and communication skills.Ability to manage multiple projects simultaneously under tight deadlines.Proficiency in project management tools and methodologies (e.g., MS Project, PMI standards).Fluency in English (written and spoken); other languages are a plus.Willingness to travel occasionally to customer sites or manufacturing plants.Senior Product Manager (Data Science) Milan / WFH to €75,000Are you an experienced, data savvy Product Manager with fluent Italian and English language skills? You could be progressing your career at a hugely successful European insurance tech company.As a Senior Product Manager within the pricing and underwriting team you will collaborate closely with the business and data science technical teams to help drive business insights and new product initiatives. You’ll be hands‑on with delivery and also contribute to business strategy, explaining complex technical aspects to senior level business stakeholders and ensuring the Data Science team deliver the data to add business value.Location / WFHThe company is a big advocate of flexible working and prides itself on DEI; you can work from home most of the time, meeting up with colleagues in the Milan office twice a week.About youYou're degree educated in a relevant discipline and ideally have studied to MSc / PhD levelYou have a good understanding of data science, data modelling, predictive analysisYou have experience as an internal facing Product Manager within a technology or finance companyYou have excellent communication and stakeholder management skills, able to push back when necessary and facilitate collaborationYou have fluent English and Italian language skillsWhat's in it for youAs a Senior Product Manager you will earn a competitive package:Up to €75,000Enhanced maternity package25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day"Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance ProgrammeWeekly Yoga and monthly Acupuncture sessions, Headspace membershipDiverse, inclusive team environment with a range of support networks including Women in Technology groupsA range of other perks including Perkbox, cycle to work, season ticket loanApply nowTo find out more about this Senior Product Manager (Data Science) opportunity.Kynetec – Market Research Data Collection PlatformWe are looking for a Sr. Product Manager to serve as the product leader for our market research data collection platform. This individual will lead all aspects of the platform’s evolution, including requirements definition, backlog ownership, coordination of vendor/enterprise software adaptation, and oversee the day‑to‑day in‑house engineering development as Product Owner. This role is critical to improving the efficiency, quality and scalability of how we collect agriculture market research data.Day to Day TasksOwn the product strategy and roadmap for data collection and processing workflows.Improve efficiency, automation, data quality, and compliance across the data pipeline.Design and optimize data collection workflows (surveys, panels, APIs, third‑party and syndicated data).Define clear product requirements, user stories, and acceptance criteria for engineering teams.Manage and prioritize the product backlog based on business impact and customer needs.Partner closely with research, data, engineering, QA, and operations teams.Evaluate and manage third‑party and enterprise data collection tools.Ensure reliable, scalable, and high‑quality data flows for downstream analytics.Define standards, KPIs, and monitoring to support data accuracy, governance, and system performance.Drive continuous improvement, including automation and AI‑assisted capabilities.Requirements6–8+ years of product management experience, including 5+ years working with data collection, processing, or data platforms.Proven experience as a Product Owner for data‑heavy or workflow‑driven software.Strong understanding of data pipelines, transformations, metadata, and data harmonization.Experience partnering with engineering teams on APIs, backend services, and data workflows.Hands‑on experience configuring or adapting enterprise data or survey platforms.Ability to translate complex business and operational needs into clear product requirements.Strong communication skills with the ability to work across business, research, and engineering teams.Experience prioritizing work and managing backlogs in Agile environments.Strong focus on data quality, reliability, and system performance.Nice to HaveExperience in market research, consumer insights, agriculture data, or field data collection.Knowledge of survey design, sampling, or third‑party data integration.Familiarity with data engineering concepts (ETL, APIs, databases, cloud platforms).Experience working in environments that combine enterprise tools and custom‑built systems.Exposure to automation, workflow orchestration, or low/no‑code platforms.#J-18808-Ljbffr