Job Summary
HP is seeking an experienced Performance Marketing Analytics Lead who is passionate about optimizing business outcomes at the intersection of data analytics, AI, and experimentation.
This role sits within HP's eCommerce & Digital Marketing Analytics organization and plays a critical part in shaping how marketing investments are planned, tested, optimized, and scaled globally.
Using advanced analytics, media mix modeling (MMM), experimentation, machine learning, and AI‑enabled decisioning, this role drives quarterly, monthly, weekly, and in‑period marketing investment decisions across digital channels (including SEM, CSE, Affiliate, Display, Social, Email, and Partner channels).
The role partners closely with marketing, data science, product, and engineering leadership to build scalable experimentation and optimization capabilities that improve acquisition, retention, lifetime value, margin, and overall marketing ROI.
This position applies deep subject matter expertise to complex problems, frequently contributes new ideas and methodologies, and may directly or indirectly lead analysts and data scientists while providing functional leadership within the marketing analytics domain.
Key Responsibilities
Performance Marketing & Optimization Leadership
Lead digital marketing planning, optimization, and experimentation activities across the optimization process and cadence.
Drive material improvements in acquisition, retention, and customer lifetime value through data‑driven optimization and experimentation.
Own and evolve media mix planning tools, attribution frameworks, and optimization models used for scenario planning and investment trade‑offs.
Perform regular intra‑month and in‑period optimization analyses, partnering with channel managers to deploy actionable recommendations.
Experimentation & Attribution
Design, implement, and analyze adaptive test‑and‑learn programs (A/B, multivariate, quasi‑experimental designs) across demand generation channels.
Evolve marketing attribution through experimentation, including multi‑touch, ML‑based, and incrementality‑driven approaches.
Advise campaign optimization decisions through insights derived from attribution, experimentation, and causal analysis.
Build reusable experimentation frameworks, methods, and standards to improve efficiency and consistency across analytics initiatives.
AI & Advanced Analytics Applications
Apply advanced statistical methods and machine learning to optimize marketing performance, including:
Incrementality and causal inference
Media response and saturation modeling
Margin‑based and bid‑to‑profit optimization
Predictive modeling for efficiency, conversion, and value
Automated performance monitoring and anomaly detection
Lead adoption of AI‑assisted and GenAI‑enabled analytics, such as:
AI‑generated insights, summaries, and decision narratives
Self‑service and prompt‑based analytical exploration
Automated interpretation of experimental results at scale
Ensure analytical outputs are explainable, auditable, and aligned with business decision‑making.
Tools, Platforms & Enablement
Build and evolve tools that enable evaluation and interpretation of experimental and marketing data at scale, including 1st‑party, platform, and agency data.
Partner with product managers and data scientists to define the technical roadmap and vision for experimentation, measurement, and optimization.
Advise leadership on key technical considerations tied to the marketing technology stack, data platforms, and AI readiness.
Debug and resolve analytics and production issues across multiple marketing channels.
Cross‑Functional Influence & Strategy
Partner with marketing leaders to develop a comprehensive understanding of investment opportunities and trade‑offs, translating insights into clear requirements and recommendations.
Recommend go‑to‑market actions and optimization strategies to senior leaders based on analytical findings.
Represent marketing analytics expertise to internal stakeholders and, as needed, external partners and vendors.
Participate in defining and refining marketing and sales policies for specific product lines or regions in compliance with local regulations.
Leadership & Mentorship
Lead or provide expertise to cross‑functional project teams.
Provide mentorship, guidance, and training to junior analysts and data scientists.
Act as a functional expert advising on process improvements, analytics standards, and best practices.
Exercise significant independent judgment within broadly defined policies to achieve business objectives.
Knowledge & Skills
Marketing & Analytics Expertise
Advanced understanding of marketing attribution, including multi‑touch, probabilistic, and ML‑based approaches.
Proven success optimizing campaigns across paid and unpaid channels (SEO, SEM, CSE, Affiliate, Social, Email, Display, Partner).
Expert knowledge of experimental design, causal inference, and statistical analysis.
Strong grasp of eCommerce economics, digital marketing metrics, and performance drivers.
AI & Data Science
Advanced experience with statistics, mathematics, and algorithmic modeling.
Machine learning for prediction, optimization, and decision support.
Experience working with structured and unstructured datasets.
Familiarity applying GenAI / LLMs to analytics enablement and insight acceleration.
Technical & Platform Skills
SQL, Python, R, SAS, or similar analytical languages.
Data modeling, ETL/ELT, and modern data transformation techniques.
BI, data visualization, and storytelling tools (e.g., Tableau, Power BI).
Working knowledge of MarTech stacks, MRM, CRM, and CKM platforms.
Ability to clearly communicate data product architectures and algorithm design to senior audiences.
Ways of Working
Agile and project‑based delivery experience.
Strong communication, storytelling, and executive presence.
Proven ability to make informed trade‑offs under uncertainty.
Self‑starter with strong execution discipline and deadline management.
Education & Experience
Bachelor's, Master's, or PhD in Mathematics, Economics, Physics, Computer Science, Data Science, Marketing, or related field.
7–10+ years of experience in marketing analytics, data science, or digital optimization roles.
3+ years of hands‑on experience in experimentation design, causal analysis, or advanced statistical modeling at scale.
Experience in digital media, MarTech, subscription, or technology‑driven businesses strongly preferred.
Impact & Scope
Leads complex, high‑impact initiatives influencing integral marketing investment decisions.
Regular interaction with senior ICs, managers, directors, and executive leadership.
Shapes how AI, experimentation, and analytics are operationalized across HP's digital direct marketing ecosystem.
Nivel de antigüedad
Intermedio
Tipo de empleo
Jornada completa
Función laboral
Marketing y Ventas
Sectores
Fabricación de equipos informáticos, Desarrollo de software y Servicios y consultoría de TI