PJoin to apply for the bHead of Data Platform /b role at bMoncler /b. /ph3Overview /h3pFor 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. /ph3Your Impact /h3pThe 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. /ph3Responsibilities /h3ulliDefine and evolve the target data architecture: on‑premise DWH (e.g., Oracle/Hana) + GCP (BigQuery, Cloud Storage, Dataflow), batch/streaming, canonical models, data contracts. /liliLead Data Engineering: ingestion, transformation, orchestration (Airflow/Cloud Composer), feature engineering, performance tuning, cost capacity control (incl. Fabric front/back separation). /liliEstablish platform SRE practices: reliability, observability (logs/metrics/traces), scalability, disaster recovery, and security by design (access, encryption, secrets). /liliIndustrialize AI/ML Ops: CI/CD for models and pipelines, environments, feature stores, monitoring (drift, performance), retraining and rollback. /liliGovern data quality and lineage: standards, SLAs, tests (unit data), documentation, metadata/lineage catalog, and KPI definitions for downstream BI (Power BI/MicroStrategy). /liliManage vendor and partner delivery; build a high‑performing team (hiring, mentoring, career paths) and drive ways of working (Agile, backlog, roadmaps). /liliOwn platform budgets and consumption; define guardrails and FinOps on cloud workloads; ensure on‑prem costs and capacity are forecasted and optimized. /li /ulh3Qualifications /h3ulli10+ years in Data Engineering/Platform roles, with proven leadership of large‑scale data platforms (hybrid on‑prem + cloud). /liliHands‑on expertise with on‑prem DWH (Oracle/Hana) and GCP services (BigQuery, Cloud Storage, Dataflow; Composer/Airflow). /liliStrong SQL and Python; ETL/ELT design, dimensional/data‑vault modelling, performance optimization. /liliAI/ML Ops: CI/CD (Git), model packaging, pipelines, monitoring, governance and risk controls. /liliSecurity Compliance: IAM/RBAC, data privacy (GDPR), auditability, secrets key management. /liliBI ecosystem awareness: Power BI, MicroStrategy; standards for KPI consistency and data contracts. /liliAn excellent communicator, with strong stakeholder management across IT, Digital, Marketing, and Retail, and solid vendor management experience. /li /ulpMoncler 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. /p #J-18808-Ljbffr