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Data Product Owner F/H - Job Opportunity at Nestlé

Issy-les-Moulineaux, France
Full-time
Mid-level
Posted: May 28, 2025
Hybrid
EUR 45,000 - 60,000 per year. This estimate reflects the mid-level experience requirement, the technical nature of the role combining product management with data analytics, and the European market standards for product owner positions in multinational corporations. The salary range accounts for the location in the Paris metropolitan area and the specialized skill set required for marketing analytics product ownership.

Benefits

Flexible work policies offering core hours flexibility and work-from-home options, providing superior work-life balance compared to traditional corporate structures
Comprehensive career and personal development opportunities with structured growth paths in a global organization
Modern smart office locations with agile and collaborative workspaces designed for productivity and innovation
Dynamic international working environment providing exposure to diverse markets and cross-cultural collaboration

Key Responsibilities

Lead strategic product deployment initiatives for Marketing & Sales Cockpit across multiple European markets, directly impacting marketing effectiveness and ROI optimization for a Fortune 500 company
Drive data quality excellence in enterprise data warehouse systems, ensuring high-quality data ingestion that supports critical business intelligence and decision-making processes
Monitor and measure the performance impact of deployed data science models, providing quantitative insights that influence marketing budget allocation and campaign optimization strategies
Partner with cross-functional business teams to accelerate software adoption and deliver actionable insights that drive marketing performance improvements
Conduct advanced ad hoc data analytics to support strategic business decisions and identify new opportunities for marketing optimization
Lead innovation initiatives by identifying process automation opportunities and proposing data-driven solutions that enhance model refresh delivery speed and data quality
Orchestrate complex stakeholder collaboration across global, regional, and country teams while coordinating with external partners including consultants and media agencies to ensure successful project delivery

Requirements

Education

Master's degree in Science or Business

Experience

1-3 years of experience in data or product management

Required Skills

Strong organizational skills Strong analytical skills Deep passion for digital adoption Python programming SQL programming PowerBI knowledge Marketing experience Optimization solutions experience Proactive approach Collaborative mindset Stakeholder influence capabilities Great communication skills Fluency in English
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Sauge AI Market Intelligence

Industry Trends

The marketing technology sector is experiencing rapid growth with increasing demand for data-driven marketing optimization solutions, as companies seek to maximize ROI from digital advertising spend. Marketing analytics platforms are becoming essential infrastructure for enterprise marketing operations, with particular emphasis on real-time campaign performance measurement and budget optimization capabilities. There is a significant shift toward unified marketing and sales cockpit solutions that integrate multiple data sources and provide comprehensive analytics dashboards. Organizations are prioritizing products that can scale across multiple markets and regions, reflecting the need for standardized yet flexible marketing analytics infrastructure. The European market is seeing increased investment in GDPR-compliant marketing analytics solutions, with companies focusing on first-party data optimization and privacy-conscious marketing measurement tools that can operate effectively across diverse regulatory environments.

Role Significance

The role typically involves coordinating with teams of 15-25 people across different functions including data science, marketing, IT, and regional business units, while directly collaborating with 5-8 core team members in the Data ZEUR team structure.
This is a strategic mid-level position with significant autonomy and cross-functional influence. The role carries substantial responsibility for product performance across multiple European markets and requires independent decision-making capabilities while collaborating with senior stakeholders across the organization.

Key Projects

Multi-country product deployment initiatives spanning France, Spain, UK, Italy, Turkey, Germany, and Switzerland, requiring complex stakeholder coordination and localization strategies Data warehouse optimization projects focused on improving data quality and model performance across enterprise marketing analytics infrastructure Marketing campaign evaluation framework development to standardize performance measurement across diverse European markets and media channels

Success Factors

Demonstrated ability to translate complex technical concepts into business value propositions that resonate with marketing stakeholders and drive product adoption across diverse cultural and operational contexts Strong analytical problem-solving skills combined with strategic thinking to identify optimization opportunities and propose innovative solutions that enhance both data quality and model performance Exceptional stakeholder management capabilities to coordinate effectively with global teams, regional business units, and external partners while maintaining project momentum and ensuring deliverable quality Technical proficiency in data analytics tools and programming languages to perform meaningful code reviews and engage credibly with data science teams while maintaining product oversight

Market Demand

High demand level driven by the critical importance of data-driven marketing optimization in competitive consumer goods markets and the scarcity of professionals who combine product management expertise with marketing analytics and technical data skills.

Important Skills

Critical Skills

Strong analytical skills are absolutely essential as this role requires the ability to interpret complex data science model outputs, identify performance patterns across multiple markets, and translate technical insights into actionable business recommendations that drive marketing optimization decisions Stakeholder influence and communication capabilities are critical for success given the need to coordinate with teams across multiple countries, cultures, and organizational levels while maintaining alignment on product deployment objectives and ensuring adoption across diverse business contexts Organizational skills with proven ability to manage complex, multi-workstream projects are fundamental to success in this role, as the scope spans multiple European markets with different timelines, requirements, and stakeholder groups that must be coordinated effectively

Beneficial Skills

Python and SQL programming skills provide significant advantage for conducting meaningful code reviews and engaging credibly with data science teams, enabling more effective collaboration and quality assurance in model development and deployment processes Marketing domain expertise enhances the ability to understand user needs, identify optimization opportunities, and propose relevant product enhancements that address real marketing challenges faced by business teams across different markets PowerBI proficiency supports the ability to create and interpret complex data visualizations that communicate marketing analytics insights effectively to business stakeholders and support data-driven decision making processes

Unique Aspects

This role offers the rare opportunity to deploy marketing analytics solutions across multiple European markets simultaneously, providing exceptional exposure to diverse business contexts and regulatory environments that few product management positions can match
The combination of technical data analytics responsibilities with strategic product ownership creates a unique hybrid role that bridges the gap between data science and business strategy, offering accelerated learning in both domains
Working on the PFME module of a marketing analytics product that directly impacts budget optimization decisions provides tangible visibility into marketing ROI and the opportunity to influence significant financial outcomes across multiple markets

Career Growth

Career progression to senior product management roles typically occurs within 2-4 years given the strong foundation in both technical and business aspects of product management, with potential acceleration based on successful multi-market deployment outcomes and demonstrated impact on marketing ROI.

Potential Next Roles

Senior Product Manager for Marketing Analytics with expanded scope covering global markets and additional product lines within Nestlé's digital marketing ecosystem Marketing Analytics Director role focusing on strategic product portfolio management and cross-functional team leadership in consumer goods or technology companies Data Strategy Manager positions in multinational corporations where marketing analytics expertise can be applied to broader business intelligence and digital transformation initiatives

Company Overview

Nestlé

Nestlé is the world's largest food and beverage company with a comprehensive portfolio of brands and a strong commitment to digital transformation and data-driven decision making. The company has been investing heavily in marketing analytics and digital capabilities to maintain competitive advantage in rapidly evolving consumer markets.

As a Fortune 50 company with global reach, Nestlé represents one of the most stable and prestigious employers in the consumer goods sector, offering exposure to cutting-edge marketing analytics solutions and the opportunity to impact marketing strategies across dozens of countries and hundreds of brands.
The Zone Europe structure indicates Nestlé's sophisticated regional management approach, with this role positioned to influence marketing analytics deployment across major European markets representing billions in revenue and diverse consumer segments.
Nestlé's emphasis on flexibility, international collaboration, and innovation creates a dynamic work environment that supports professional growth while maintaining the stability and resources of a established multinational corporation.
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