We don’t imagine a better future. We’re building it! Vuoi fare un lavoro che sia davvero significativo e di impatto? In KPMG avrai l’opportunità di aiutare i clienti, la società, le colleghe e i colleghi ad affrontare e risolvere le sfide più attuali e complesse. KPMG Advisory offre servizi di consulenza alle imprese per affiancarle nella trasformazione del business model, nel miglioramento e nella digitalizzazione dei processi, nell'analisi e nella gestione dei rischi, nonché supporto nelle operazioni di finanza straordinaria. Nel particolare, entrerai a far parte del Team di Lighthouse di Milano. La Lighthouse è il centro di eccellenza di KPMG Advisory che offre soluzioni di Data & Analytics sul mercato. Sarai impegnato nel fornire soluzioni tecnologiche all'avanguardia, tra cui algoritmi la business intelligence, la visualizzazione dei dati, l'analisi avanzata, il process mining e le tecnologie di machine learning per migliorare il processo decisionale umano. Nello specifico, lavorerai nel team Data & AI e contribuirai alla progettazione, realizzazione e messa in produzione di soluzioni avanzate lungo l’intero ciclo di vita del dato e dei modelli. In particolare: <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Collaborare con stakeholder business e IT nella raccolta e comprensione dei requisiti, traducendoli in soluzioni tecniche efficaci.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Partecipare alla progettazione e implementazione di soluzioni Data & AI end-to-end, dall’integrazione delle fonti dati allo sviluppo e rilascio di modelli analitici e AI.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Contribuire alla definizione dell’architettura logica e tecnica di pipeline dati, sistemi analitici e piattaforme AI, garantendo qualità, scalabilità e manutenibilità.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Sviluppare componenti di data engineering, advanced analytics e machine learning, collaborando con team multidisciplinari.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Supportare l’industrializzazione delle soluzioni attraverso pratiche di MLOps, automazione e monitoring.</li> </ul> Come As You Are - Le tue competenze e caratteristiche Questa opportunità è perfetta per te se: <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Hai un profilo tecnico “ibrido”, con competenze distribuite su più aree del dominio Data & AI e livelli di profondità differenti in funzione dell’ambito (engineering, analytics AI, platforms), con l’obiettivo di crescere.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Hai avuto almeno un’esperienza di gestione tecnica di progettualità di delivery Data& AI sia essa da team lead, delivery lead o tutor di colleghi più giovani.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Hai maturato almeno 4-5 anni di esperienza di lavoro nella gestione di progetti complessi e team tecnici;</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Possiedi competenze sulle seguenti aree:</li> </ul> 1. Data Engineering, Data Management & Visual Analytics <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Solida conoscenza di SQL e dei principali database e motori analitici (PostgreSQL, SQL Server, Snowflake, BigQuery).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Esperienza nella progettazione e realizzazione di pipeline dati ETL / ELT e nella modellazione dei dati per uso analitico.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Conoscenza dei principali principi di data management: data modelling, data quality, metadata & lineage, architetture lakehouse e cloud-native.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Familiarità con framework di orchestrazione e pipeline moderne (dbt, Apache Airflow, Azure Data Factory, AWS Glue, Fabric Pipelines).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Esperienza con ambienti distribuiti e tecnologie big data (Apache Spark, Delta Lake, Parquet, Kafka / Pub-Sub).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Esperienza nell’integrazione dei livelli di serving e visualizzazione (Power BI, Qlik, Tableau, Looker) come parte integrante delle pipeline dati e dei layer semantici.</li> </ul> 2. Advanced Analytics, Machine Learning & AI <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Ottima conoscenza di Python e delle principali librerie per analisi, machine learning e data processing.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Esperienza nello sviluppo di modelli di Machine Learning e soluzioni di Advanced Analytics applicate a casi di business reali.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Familiarità con tematiche di AI generativa e NLP: integrazione di modelli foundation (OpenAI, Claude, Hugging Face), progettazione di soluzioni RAG, prompt engineering.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Prime esperienze di industrializzazione dei modelli (MLflow, API REST, versioning, monitoring, MLOps).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Attenzione ai temi di explainability, affidabilità, sicurezza e governance dell’AI.</li> </ul> 3. Cloud & Modern Data Platforms <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Conoscenza pratica di almeno un grande provider cloud (preferibilmente Azure, in alternativa AWS o GCP).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Esperienza nell’uso di servizi nativi per analytics, data engineering e AI (Databricks, Fabric, Synapse, Azure ML, BigQuery, Snowflake).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Capacità di progettare soluzioni scalabili, performanti e cost-efficient su piattaforme cloud-native.</li> </ul> Your Future With Us - Cosa troverai in KPMG <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Un ambiente di lavoro inclusivo, equo e che rispetta, incoraggia e valorizza le diversità;</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Un contesto stimolante e dinamico che incentiva la creatività e il lavoro di squadra;</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Modalità di lavoro ibrida, per promuovere un sano equilibrio tra vita lavorativa e personale;</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Programmi di formazione e sviluppo avanzati per rimanere sempre aggiornati;</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Mindset internazionale e progettualità innovative;</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Iniziative incentrate sul benessere psicofisico.</li> </ul> Together for Better – I nostri valori e il nostro impegno Leadership, lavoro in team, rispetto di ogni individualità, approfondimento continuo, trasparenza, impegno verso la comunità, integrità: questi sono i Valori di KPMG che danno vita a un ambiente aperto allo scambio di idee e di conoscenza, che permette ai nostri professionisti di esprimere tutto il loro potenziale. Grazie all’impegno nel favorire un ambiente di lavoro inclusivo, il nostro Network risulta conforme agli standard dei requisiti ISO 30415, sul Sistema di Gestione per la Diversità e l’Inclusione, e UNI PdR 125, relativa alla parità di genere. All’interno del nostro Impact Plan - <a href="https://kpmg.com/xx/en/about/our-impact-plan.html">Our Impact Plan (kpmg.com)</a> - trovi riassunte tutte le azioni concrete che stiamo portando avanti su tematiche ambientali, sociali e di governance (ESG). Unisciti a noi! We don’t imagine a better future. We’re building it! Do you want a role that is truly meaningful and impactful? At KPMG, you will have the opportunity to support clients, society, and your colleagues in tackling and solving today’s most complex and pressing challenges. KPMG Advisory provides consulting services to organizations, supporting them in transforming their business models, improving and digitalizing processes, analyzing and managing risks, as well as assisting with extraordinary finance operations. You will join the Lighthouse Team in Milan. Lighthouse is KPMG Advisory’s center of excellence that offers Data & Analytics solutions to the market. You will be involved in delivering cutting-edge technological solutions, including algorithms, business intelligence, data visualization, advanced analytics, process mining, and machine learning technologies aimed at enhancing human decision-making. Specifically, you will work within the Data & AI team and contribute to the design, development, and deployment of advanced solutions across the entire lifecycle of data and models. In particular, you will: <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Collaborate with business and IT stakeholders to gather and understand requirements, translating them into effective technical solutions.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Contribute to the design and implementation of end-to-end Data & AI solutions, from data source integration to the development and release of analytical and AI models.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Support the definition of logical and technical architectures for data pipelines, analytical systems, and AI platforms, ensuring quality, scalability, and maintainability.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Develop components related to data engineering, advanced analytics, and machine learning, working closely with multidisciplinary teams.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Support the industrialization of solutions through MLOps practices, automation, and monitoring.</li> </ul> Come As You Are – Your Skills and Qualities This opportunity is perfect for you if: <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">You have a “hybrid” technical profile, with skills spanning multiple areas across the Data & AI domain, with varying levels of depth depending on the specialty (engineering, analytics/AI, platforms), and are motivated to grow.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">You have at least one experience in the technical management of Data & AI delivery projects—whether as team lead, delivery lead, or mentor to junior colleagues.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">You have at least 4–5 years of experience working on complex project and technical team management.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">You possess expertise in the following areas:</li> </ul> 1. Data Engineering, Data Management & Visual Analytics <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Solid knowledge of SQL and major databases/analytical engines (PostgreSQL, SQL Server, Snowflake, BigQuery).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Experience designing and building ETL/ELT data pipelines and modeling data for analytical purposes.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Knowledge of key data management principles: data modeling, data quality, metadata & lineage, lakehouse and cloud‑native architectures.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Familiarity with modern orchestration frameworks and pipelines (dbt, Apache Airflow, Azure Data Factory, AWS Glue, Fabric Pipelines).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Experience with distributed environments and big data technologies (Apache Spark, Delta Lake, Parquet, Kafka / Pub-Sub).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Experience integrating serving and visualization layers (Power BI, Qlik, Tableau, Looker) as essential components of data pipelines and semantic layers.</li> </ul> 2. Advanced Analytics, Machine Learning & AI <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Strong knowledge of Python and main libraries for analytics, machine learning, and data processing.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Experience developing machine learning models and advanced analytics solutions applied to real business use cases.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Familiarity with generative AI and NLP topics: integration of foundation models (OpenAI, Claude, Hugging Face), RAG solutions, prompt engineering.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Initial experience with model industrialization (MLflow, REST APIs, versioning, monitoring, MLOps).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Attention to AI explainability, reliability, security, and governance.</li> </ul> 3. Cloud & Modern Data Platforms <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Practical knowledge of at least one major cloud provider (preferably Azure, or alternatively AWS or GCP).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Experience using native services for analytics, data engineering, and AI (Databricks, Fabric, Synapse, Azure ML, BigQuery, Snowflake).</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Ability to design scalable, high‑performance, cost‑efficient solutions on cloud‑native platforms.</li> </ul> Your Future With Us – What You Will Find at KPMG <ul style="margin-top:0.0cm;margin-bottom:0.0cm" type="disc"> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">An inclusive and equitable work environment that respects, encourages, and values diversity.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">A stimulating and dynamic context that promotes creativity and teamwork.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Hybrid working models to support a healthy work‑life balance.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Advanced training and development programs to help you stay constantly up to date.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">An international mindset and innovative projects.</li> <li style="text-align:justify;line-height:normal;margin-top:0.0cm;margin-right:0.0cm;margin-bottom:8.0pt">Initiatives focused on physical and mental well‑being.</li> </ul> Together for Better – Our Values and Commitment Leadership, teamwork, respect for individuality, continuous learning, transparency, community engagement, and integrity: these are the KPMG values that create an environment open to sharing ideas and knowledge, enabling our professionals to express their full potential. Thanks to our commitment to fostering an inclusive workplace, our network complies with ISO 30415 standards on Diversity & Inclusion Management Systems and UNI PdR 125 regarding gender equality. Our Impact Plan summarizes all concrete actions we are implementing on environmental, social, and governance (ESG) matters. Join us! #LI-DM1

Manager Data&AI (Milano, IT) @ KPMG Advisory Careers

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