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Tier-1 brand, metro hiring, and broad data-plus-product skill requirements increase candidate competition.
Core data product skills transfer, but print-hardware, CRM and privacy expertise increases domain specificity.
Explicit 10+ years total and 5+ years in data product management required.
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Own understanding and development of HP’s product and service data ecosystem to enable personalized customer experiences.
Define data products, schemas, and AI/ML models for automating and scaling customer engagement across multiple communication touchpoints.
Translate large data initiatives into agile deliverables, balancing data strategy, governance, and stakeholder coordination across executives, engineers, analysts, product, and marketing teams.
Degree in Data Science or Engineering required; MBA or business degree desired.
Minimum 10+ years total work experience with at least 5 years in data product marketing or management.
Expertise in data science, data manipulation, visualization, predictive analytics, and segmentation/targeting across multichannel ecosystems.
Understanding of current data privacy policies affecting customer data capture and usage is mandatory.
Experienced in managing complex, cross-functional data product initiatives prioritizing personalization through real-time data.
Skilled at applying AI/ML techniques to data product design for automated customer experience enhancements.
Comfortable operating in dynamic environments requiring balancing strategy, governance, and tactical agile delivery with multiple stakeholders across marketing, product, and engineering.