Digital Technology Customer Analytics Data Architect - MSC Cruises

Jobbit; Milano; In loco; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

A global hospitality company in Milan is seeking a Digital Technology Customer Analytics Data Architect to lead data architecture strategies and analytics. The role requires 10+ years of experience in data engineering, a Master's degree in a relevant field, and expertise in MarTech tools like CDPs and DMPs. Strong problem-solving skills and proficiency in SQL, Python, and data visualization tools are essential. This full-time, mid-senior level position offers opportunities for impactful contributions in a diverse environment.

Competenze

• 10+ years of experience in data architecture or data engineering, with strong analytics and MarTech background.
• Deep understanding of data management principles and ETL processes.
• Fluent in English; familiarity with additional EU languages is advantageous.

Mansioni

• Design and implement scalable data architectures supporting Analytics and MarTech applications.
• Work closely with data teams to optimize data pipelines and integration.
• Evaluate and recommend new data technologies to enhance capabilities.

Conoscenze

Data architecture design

Data processing and analytics

MarTech tools integration

Statistical analysis techniques

Python programming

Formazione

Master's degree in Computer Science or related field

Strumenti

Azure Stack

SQL

Google Data Layer

Adobe Experience Platform

Power BI

Tableau

Descrizione del lavoro

Overview

Digital Technology Customer Analytics Data Architect at MSC Cruises. The role focuses on leveraging data, analytics, AI, and marketing technology (MarTech) to drive business growth and innovation and shaping the Customer Analytics data architecture strategy.

Key Accountabilities

• Design and implement scalable data architectures that support Analytics, AI, and MarTech applications.
• Ensure seamless integration between various data sources, platforms, and MarTech tools.
• Work closely with data engineers, data scientists, and IT teams to optimize data pipelines and infrastructure.
• Partner with marketing teams to leverage MarTech tools for personalized marketing and customer engagement.
• Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
• Evaluate and recommend new data technologies, tools, and platforms to enhance data capabilities.
• Stay updated on industry trends, emerging technologies, and best practices to keep the data architecture state-of-the-art.
• Act as Subject Matter Expert to support the Customer Analytics initiative roadmap, leveraging latest trends and solutions in the travel & leisure and broader retail sectors.
• Establish data collection processes, ensure availability and integrity of customer data from various sources, oversee data integration, and work with the data product team to ensure data quality and consistency.
• Evaluate and recommend digital technologies and platforms to support customer data analytics features and user stories aligned with business priorities.
• Supervise the development of user-friendly reporting solutions to track KPIs and business metrics across departments.
• Participate as Scrum Master in PI Planning events and team syncs; provide guidance, coaching, and mentoring to ensure high-quality deliverables.
• Monitor and report on project progress, scope changes, and outcomes to senior management and stakeholders; assess the effectiveness and impact of analytics products through retrospectives.
• Manage post-implementation technical support and resolve issues with the technical team to ensure the solution functions properly.

Qualifications (skills, competencies, experience)

• Proven expertise in designing and implementing complex data architectures for large-scale data processing and analytics.
• Proficient in delivering an end-to-end customer 360 view, including data from the MSC for ME Onboard Digital Ecosystem.
• Familiarity with MarTech tools (e.g., CDPs, DMPs) and their integration within data ecosystems.
• Experience with statistical analysis techniques and Python programming.
• Experience with agile methodology, specifically SAFe 6.0.

Visa Requirements

• Master\'s degree in Computer Science, Information Technology, Engineering, Economic Science, Statistics, or similar.
• 10+ years of experience in data architecture, data engineering, or a related role with a strong background in analytics, AI, and MarTech.
• Deep understanding of data management principles, including data modeling, ETL processes, and data governance.
• Proficiency in data analytics tools such as Azure Stack, SQL, Google Data Layer, and Adobe Experience Platform.
• Strong understanding of customer data analytics sourcing flows and platforms, data management principles, and data modeling.
• Proficiency in SQL, Python, or other programming languages used in data processing and analysis.
• Familiarity with data integration and ETL processes, and data visualization tools like Power BI and Tableau.
• Strong problem-solving skills, with the ability to translate business requirements into scalable data solutions.
• Fluent in English (additional EU languages are advantageous).
• Availability to travel.

Our commitment

We are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. We take meaningful, measurable actions that have a long-term positive impact on our guests, our employees, and our planet.

Location and job details

Sector: Hospitality / Tourism

Role: IT / Technology

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries : Hospitality

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