Data Governance Manager

KPMG (Italy); Lombardia; Hybrid; EUR 52,000 - 65,000; Full time

Benefits offered by this job

Hybrid working arrangements

Advanced training & development

International projects & exposure

Well-being initiatives

Job summary

KPMG Italy in Milan seeks a Data & AI professional to deliver advanced analytics, ML, and governance solutions within the Lighthouse Team. You will contribute to data cataloging, data product lifecycles, and cloud-based data platforms, while collaborating across hybrid work environments.

The role emphasizes Python, SQL, data pipelines, and integration of visualization tools, with a focus on scalable, compliant data solutions for real-world business use cases.

Qualifications

• Strong knowledge of SQL and major databases and analytical engines.
• Experience designing and implementing ETL/ELT data pipelines and data modelling for analytical purposes.
• Knowledge of key data management principles, including data modelling, data quality, metadata & lineage, lakehouse architectures and cloud-native architectures.
• Familiarity with orchestration and pipeline frameworks (dbt, Apache Airflow, Azure Data Factory, AWS Glue, Fabric Pipelines).
• Experience with distributed environments and big data technologies (Apache Spark, Delta Lake, Parquet, Kafka / Pub-Sub).
• Experience integrating serving and visualization layers (Power BI, Qlik, Tableau, Looker) as part of data pipelines.

Responsibilities

• Implementation and configuration of Data Catalog/Data Marketplace solutions, with experience in technologies such as Atlan, Zeenea, Collibra, Microsoft Purview, Alation, Informatica EDC/IDMC, DataHub and OpenMetadata.
• Metadata modelling and management, including Business Glossary, Business Terms, metadata models, ownership, stewardship, lineage, classification and certification.
• Supporting the design and implementation of Data Governance processes, translating roles, responsibilities, policies and processes into workflows within governance tools.
• Metadata management and Data Product lifecycle management, including the definition of domains, owners, SLA/SLOs and relationships between assets.
• Configuration of workflows, roles, stewardship processes and application integrations through REST APIs, webhooks, Python and SQL, including IAM integrations with Microsoft Entra ID/Azure AD.
• Data Contracts and metadata automation, with knowledge of ODCS, YAML/JSON, and automation of metadata generation, validation and synchronization.
• Data Quality and Data Observability, with experience or knowledge of dbt, Soda and Great Expectations.

Skills

Python

SQL

Data analysis

ETL/ELT

Data governance

Cloud computing

MLOps

Data visualization

Generative AI

Tools

Databricks

Fabric

Synapse

Azure ML

BigQuery

Snowflake

dbt

OpenMetadata

Job description

We don’t imagine a better future. We’re building it!

2. Advanced Analytics, Machine Learning & AI

Nice to have:

Your Future With Us - Cosa troverai in KPMG

Unisciti a noi!

We don’t imagine a better future. We’re building it!

Would you like to do work that is truly meaningful and impactful? At KPMG, you will have the opportunity to help clients, society, and your colleagues address and solve today’s most current and complex challenges. KPMG Advisory provides consulting services to companies, supporting them in business model transformation, process improvement and digitalization, risk analysis and management, as well as extraordinary finance transactions.

Specifically, you will join the Lighthouse Team in Milan.

Lighthouse is the KPMG Advisory Centre of Excellence that delivers Data & Analytics solutions to the market.

You will be involved in delivering cutting-edge technology solutions, including algorithms, business intelligence, data visualization, advanced analytics, process mining and machine learning technologies to improve human decision-making.

More specifically, you will work within the Data & AI team and contribute to the design, implementation and production deployment of advanced solutions across the entire data and model lifecycle. In particular, you will be responsible for:

• Implementation and configuration of Data Catalog/Data Marketplace solutions, with experience in technologies such as Atlan, Zeenea, Collibra, Microsoft Purview, Alation, Informatica EDC/IDMC, DataHub and OpenMetadata.
• Metadata modelling and management, including Business Glossary, Business Terms, metadata models, ownership, stewardship, lineage, classification and certification.
• Supporting the design and implementation of Data Governance processes, translating roles, responsibilities, policies and processes into workflows and operational configurations within governance tools.
• Metadata management and Data Product lifecycle management, including the definition of domains, owners, input/output ports, SLA/SLOs, policies, lifecycle statuses and relations between assets, with knowledge of Data Mesh / Data Products approaches and, preferably, tools such as Atlan, Zeenea, DataHub, OpenMetadata and Witboost. For example, Zeenea currently provides specific capabilities for Data Product management and discovery.
• Configuration of workflows, roles, stewardship processes and application integrations through REST APIs, webhooks, Python and SQL, including integration with Identity & Access Management systems, such as Microsoft Entra ID/Azure AD, and with major Data Platform ecosystems.
• Data Contracts and metadata automation, with knowledge of the Open Data Contract Standard (ODCS), YAML/JSON, machine-readable contract management, and automation of metadata generation, validation and synchronization.
• Data Quality and Data Observability, with experience or knowledge of tools such as dbt, Soda and Great Expectations, to integrate rules, quality checks, control results and related metadata into the lifecycle of assets and Data Products.

Come As You Are – Your Skills and Characteristics

This opportunity is perfect for you if:

• You have a hybrid technical profile, with skills distributed across multiple areas of the Data & AI domain and different levels of depth depending on the area (engineering, analytics/AI, platforms), with the goal of continuing to grow.
• You have had at least one experience in technical management of Data & AI delivery projects, whether as a team lead, delivery lead or mentor/tutor for junior colleagues.
• You have gained at least 6 years of professional experience managing complex projects and technical teams.
• You have skills in the following areas:
• Strong knowledge of SQL and major databases and analytical engines (PostgreSQL, SQL Server, Snowflake, BigQuery).
• Experience designing and implementing ETL/ELT data pipelines and data modelling for analytical purposes.
• Knowledge of key data management principles, including data modelling, data quality, metadata & lineage, lakehouse architectures and cloud-native architectures.
• Familiarity with modern orchestration and pipeline frameworks (dbt, Apache Airflow, Azure Data Factory, AWS Glue, Fabric Pipelines).
• Experience with distributed environments and big data technologies (Apache Spark, Delta Lake, Parquet, Kafka / Pub-Sub).
• Experience integrating serving and visualization layers (Power BI, Qlik, Tableau, Looker) as an integral part of data pipelines and semantic layers.

2. Advanced Analytics, Machine Learning & AI

• Excellent knowledge of Python and the main libraries for data analysis, machine learning and data processing.
• Experience developing Machine Learning models and Advanced Analytics solutions applied to real-world business use cases.
• Familiarity with Generative AI and NLP, including the integration of foundation models (OpenAI, Claude, Hugging Face), RAG solution design and prompt engineering.
• Initial experience in model industrialization, including MLflow, REST APIs, versioning, monitoring and MLOps.
• Attention to explainability, reliability, security and AI governance topics.
• Practical knowledge of at least one major cloud provider (preferably Azure, alternatively AWS or GCP).
• Experience using native services for analytics, data engineering and AI (Databricks, Fabric, Synapse, Azure ML, BigQuery, Snowflake).
• Ability to design scalable, high-performance and cost-efficient solutions on cloud-native platforms.

Nice to have

Knowledge of Git, GitHub/GitLab/Azure DevOps, version control and CI/CD pipelines, particularly with regard to version-controlled metadata, Data Contracts, configuration-as-code and automated controls.

Your Future With Us – What You’ll Find at KPMG

• An inclusive and equitable work environment that respects, encourages and values diversity;
• A stimulating and dynamic environment that encourages creativity and teamwork;
• Hybrid working arrangements to promote a healthy work-life balance;
• Advanced training and development programs to stay up to date;
• An international mindset and innovative projects;
• Initiatives focused on physical and mental well-being.

In accordance with applicable legislation, we do not collect or use information regarding salaries received in current or previous employment relationships. Our recruitment procedures are based on objective and gender-neutral criteria.

Standard employment contract under the collective labour agreement for the commerce sector, with a starting gross annual salary ranging from €52,000 to €65,000. The salary is determined on the basis of objective criteria, including the candidate’s skills and experience assessed against the requirements of the role.

Together for Better – Our Values and Our Commitment

Leadership, teamwork, respect for every individual, continuous learning, transparency, commitment to the community and integrity: these are the KPMG Values that create an environment open to the exchange of ideas and knowledge, enabling our professionals to reach their full potential.

Thanks to our commitment to fostering an inclusive working environment, our Network complies with the ISO 30415 standards for Diversity and Inclusion Management Systems and UNI/PdR 125, relating to gender equality. Within our Impact Plan – Our Impact Plan (kpmg.com) – you can find a summary of all the concrete actions we are taking on environmental, social and governance (ESG) issues.