Head of Data Platform

MICHAEL KORS; Milano; In loco; EUR 100.000 - 150.000; Tempo pieno

Descrizione del lavoro

A leading fashion brand is seeking a Head of Data Platform to join their team in Milan. The successful candidate will be responsible for building and scaling a cost-efficient data and AI platform, managing a high-performing team, and ensuring the reliability, scalability, and security of the data architecture. Applicants should have over 10 years of experience in Data Engineering and strong expertise in both on-prem and cloud environments. This role offers the opportunity to drive significant business value through innovative data solutions.

Competenze

• 10+ years in Data Engineering/Platform roles with large-scale data platforms.
• Hands-on expertise with on-prem DWH and cloud services.
• Strong SQL and Python skills are essential.

Mansioni

• Define and evolve the target data architecture.
• Lead Data Engineering and establish platform SRE practices.
• Govern data quality, manage vendor delivery, and own budgets.

Conoscenze

Data Engineering

Cloud services (GCP)

SQL

Python

AI/ML Ops

Stakeholder management

Strumenti

Oracle

Hana

BigQuery

Power BI

MicroStrategy

Descrizione del lavoro

5 giorni fa

Join to apply for the Head of Data Platform role at Moncler.

Overview

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.

Responsibilities

• 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

• 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.
• 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.