Head Of Data Platform

7 ore fa

Lazio, Italia Altro A tempo pieno

5 giorni faJoin to apply for theHead of Data Platformrole atMoncler .OverviewFor 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 ImpactThe 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.ResponsibilitiesDefine 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-performingteam (hiring, mentoring, career paths) and drive ways of working (Agile, backlog, roadmaps).Own platform budgets and consumption; define guardrailsand FinOps on cloud workloads; ensure on-prem costs and capacity are forecasted and optimized.Qualifications10+ 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 KPIconsistency and data contracts.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.#J-*****-Ljbffr

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