Product Manager - Marketing Technology

Wynn Al Marjan Island; Ras Al Khaimah; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in the UAE is looking for a Product Manager – Data & Marketing Technology. This role focuses on developing innovative data-driven marketing technology products. You will work cross-functionally to enhance data ecosystems, ensuring compliance and driving product success. If you have a passion for leveraging data to improve guest experiences, this position is for you.

Qualifications

• Deep knowledge of data warehousing and lake solutions.
• Strong experience in SQL, Python, and cloud-native data processing.

Responsibilities

• Develop and execute a strategic vision for data marketing technology products.
• Build and enhance integrations with major platforms such as CDPs and CRMs.
• Collaborate with engineering, AI/ML, and product teams for data availability.

Skills

Data Governance

Data Engineering

SQL

Python

Communication

Tools

Snowflake

Azure Data Lake

Kafka

Flink

Spark

Databricks

Job description

Job Purpose

We are seeking a Product Manager – Data & Marketing Technology to lead the development and growth of our data-driven marketing technology products. In this role, you will collaborate with cross-functional teams to build innovative solutions that enable marketers to leverage data for personalization, audience segmentation, attribution, and performance optimization

This role will focus on building a scalable, secure, and high-performance marketing technology data ecosystem

As the owner of the entire marketing technology platform, you will work cross-functionally with data engineering, analytics, AI/ML, and business teams to ensure data is efficiently ingested, processed, stored, and activated for various use cases. You will drive data governance, reliability, and scalability, ensuring the platform meets business and compliance needs

This role requires exceptional communication skills to manage internal and external stakeholders across various departments and the ability to adapt off-the-shelf products to meet our unique business needs. A passion for delivering exceptional guest experiences using data is essential

Essential Duties

Product Strategy & Vision

• Develop and execute a strategic vision for data marketing technology products, aligning with business goals and customer needs
• Drive adoption of modern MarTech data architectures including data lakehouse, streaming data pipelines, and real-time analytics
• Define KPIs and use analytics to measure product success, optimize performance, and drive continuous improvements
• Conduct user research, competitive analysis, and stakeholder interviews to identify pain points and opportunities
  
  

Marketing Data Platform Development & Optimization

• Build and enhance integrations with major platforms such as CDPs, CRMs, DMPs, DSPs, Google Analytics, Meta, and other MarTech/AdTech tools
• Ensure product compliance with regulations such as GDPR, CCPA, and other relevant customer data protection laws in the region
• Partner with engineering and data science teams to develop scalable solutions for audience segmentation, personalization, attribution modeling, and data integrations
• Work with data engineers and architects to implement best practices in ETL/ELT, schema design, and data quality
  
  

Stakeholder Collaboration, Communication & Business Enablement

• Work closely with engineering, AI/ML, BI, marketing, CRM, and product teams to ensure seamless data availability to drive adoption and ensure alignment with go-to-market strategies
• Collaborate with business teams to enable data activation and availability via Hightouch, CRM integrations, and omnichannel customer engagement platforms
• Ability to prioritize, manage tight timelines, and execute in a fast-paced environment
• Excellent ability to communicate complex technical concepts to non-technical stakeholders
  
  

Skills / Knowledge

• Deep knowledge of data warehousing (Snowflake) and data lake solutions (Azure Data Lake, Delta Lake, Iceberg)
• Strong understanding of data engineering pipelines, ETL/ELT, and real-time streaming (Kafka, Flink, Spark, Databricks)
• Hands-on experience with data governance tools, data catalogs, and lineage tracking (Coalesce, Atlan, Alation)
• Familiarity with AI/ML platforms (Databricks, MLflow, Feature Stores, AutoML) and their data dependencies
• Strong experience in SQL, Python, and cloud-native data processing
• Ability to bridge technical and business requirements, working cross-functionally across multiple teams
  
  

Nice to Have

• Experience with customer data platforms (CDP), omnichannel marketing, and data activation tools
• Knowledge of machine learning pipelines and real-time AI model deployment
• Certifications in Cloud Data Platforms (Azure, AWS, GCP, Snowflake, Databricks)