Data Product Manager

HP France

Data Product Manager working at HP to leverage data for customer experience personalization. Collaborating across teams to define data requirements and utilizing AI and ML for insights.

Posted 5/22/2026full-timeSant Cugat del Valles • 🇪🇸 SpainSeniorLeadWebsite

About the role

Key responsibilities & impact

Deeply understand HP’s product and services data ecosystem in order to leverage existing capabilities and define new requirements for future experiences
Balance the strategy, governance, and implementation of anything data related, and facilitate the conversations between all impacted stakeholders - executives, engineers, analysts, product teams, and external customers.
Collaborate closely with the CRM, product and service teams to define data and functional requirements to deliver personalized experiences across all communication touchpoints.
Apply your knowledge of AI and ML to define data products, schemas and models to automate customer experiences that can scale.
Translate the requirements of large data initiatives into smaller, agile based stories that can be delivered in increments and then working to allocate resources for each initiative.
Define a roadmap that defines the data requirements for new feature development that incorporates the needs of customers and the business.
Understand the customer’s experience by continually immersing yourself in feedback and sentiment data to map out data personas and consumer profiles.

Requirements

What you’ll need

Recommended Data Science or Engineering Degree
MBA or business degree desired
Ideally 10+ years of total experience with 5 years of experience in data product marketing/management
Expertise in data science, data manipulation visualization and predictive analysis
Strong foundation in analytics and metrics, and development of data schemas
Experience in segmentation and targeting strategies across multichannel ecosystem
Understanding of current data and privacy policies and how it impacts customer engagement strategies
Working knowledge and experience with semantic / knowledge graph technologies
Strong organization skills are a must to ensure that all tasks are completed to the appropriate deadline
Ability to multitask and organize both your time and the schedule of the project, as you will often work on various projects and with multiple people at once
Demonstrated knowledge of general marketing function either through education or work experience.

Benefits

Comp & perks

Equal Opportunity Employer (EEO)

ATS Keywords

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Hard Skills & Tools

data sciencedata manipulationdata visualizationpredictive analysisdata schemassegmentation strategiestargeting strategiesAIMLagile methodologies

Soft Skills

organization skillsmultitaskingcommunicationcollaborationstakeholder managementcustomer experience understandingfeedback analysistime managementresource allocationstrategic thinking

Certifications

Data Science DegreeEngineering DegreeMBABusiness Degree