About this role
For our Worldwide Information & Technology Transformation function we are looking for a passionate Head of Data Platform to join the Data Platform & AI Team at our HQ in Milan.
Your Impact
The Head of Data Platform will build and scale a trusted, cost-efficient data and AI platform that enables reliable analytics, BI, and ML across the organization, driving measurable business value.
In particular, the resource will be responsible for:
- Define and evolve the target data architecture: on‑premise DWH (e.g., Oracle/Hana) + GCP (BigQuery, Cloud Storage, Dataflow), batch/streaming, canonical models, data contracts.
- Lead Data Engineering: ingestion, transformation, orchestration (Airflow/Cloud Composer), feature engineering, performance tuning, cost & capacity control (incl. Fabric front/back separation).
- Establish platform SRE practices: reliability, observability (logs/metrics/traces), scalability, disaster recovery, and security by design (access, encryption, secrets).
- Industrialize AI/ML Ops: CI/CD for models and pipelines, environments, feature stores, monitoring (drift, performance), retraining and rollback.
- Govern data quality and lineage: standards, SLAs, tests (unit & data), documentation, metadata/lineage catalog, and KPI definitions for downstream BI (Power BI/MicroStrategy).
- Manage vendor and partner delivery; build a high‑performing team (hiring, mentoring, career paths) and drive ways of working (Agile, backlog, roadmaps).
- Own platform budgets and consumption; define guardrails and FinOps on cloud workloads; ensure on‑prem costs and capacity are forecasted and optimized.
Qualifications
Who We Are Looking For
Main qualifications:
- 10+ years in Data Engineering/Platform roles, with proven leadership of large‑scale data platforms (hybrid on‑prem + cloud).
- Hands‑on expertise with on‑prem DWH (Oracle/Hana) and GCP services (BigQuery, Cloud Storage, Dataflow; Composer/Airflow).
- Strong SQL and Python; ETL/ELT design, dimensional/data‑vault modelling, performance optimization.
- AI/ML Ops: CI/CD (Git), model packaging, pipelines, monitoring, governance and risk controls.
- Security & Compliance: IAM/RBAC, data privacy (GDPR), auditability, secrets & key management.
- BI ecosystem awareness: Power BI, MicroStrategy; standards for KPI consistency and data contracts.
We Would Appreciate a Person That Is:
- An excellent communicator, with strong stakeholder management across IT, Digital, Marketing, and Retail, and solid vendor management experience.
“Moncler Group is an equal opportunity employer, which means we do not discriminate on the basis of Ethnic origin, Skin color, Religion, Civil status, Age, Nationality, Ancestry, any form of disability or neurodivergence, medical condition, Gender, Gender Identity or Expression, Sexual Orientation. We celebrate diversity and are committed to creating an inclusive environment for all employees.”
Other facts
About Moncler Group
Moncler was founded in Grenoble, France, in 1952 and is currently headquartered in Milan, Italy. Over the years the brand has combined style with constant technological research assisted by experts in activities linked to the world of the mountain. This makes the Moncler collections the quintessence of outwear that marries the extreme demands of nature with those of city life. In 2003 Remo Ruffini took over the company, of which he is currently President and Creative Director. Moncler manufactures and directly distributes men's, women's and accessory collections through its boutiques and in exclusive international department stores and multi-brand outlets.
What you'll do
- The Head of Data Platform will build and scale a trusted, cost-efficient data and AI platform for reliable analytics, BI, and ML. Responsibilities include defining data architecture, leading data engineering, establishing SRE practices, and managing vendor delivery.
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