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Senior Manager, eCommerce Personalization

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: Lenovo
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Engineer, Digital Marketing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Senior Manager, eCommerce Personalization

Join Lenovo as a Senior Manager of Personalization to lead strategy and execution of data-driven personalization initiatives for  This role drives revenue growth through tailored customer experiences across digital touchpoints and partners cross‑functionally with analytics, research, marketing, and IT teams.

Key Responsibilities
  • Develop, implement, and communicate personalization strategies aligned with business goals and revenue targets.
  • Define how personalization capabilities should scale across the entire customer journey and advocate cross‑functionally.
  • Develop annual business cases and investment proposals for personalization initiatives.
  • Drive the personalization roadmap forward, prioritizing initiatives based on business impact and technical feasibility.
  • Define and execute segmentation strategies for different customer profiles.
  • Drive continuous innovation in personalization capabilities including AI recommendations, dynamic content, and predictive targeting.
  • Lead A/B testing program to optimize customer experience and drive measurable business results.
  • Utilize data‑driven approaches to translate analytics into actionable personalization strategies.
  • Optimize personalization across the entire customer journey from homepage to product discovery to checkout.
  • Drive implementation of real‑time behavioral targeting and session‑based personalization.
  • Manage on‑site personalization initiatives including targeted promotions, badges, offers, product recommendations and dynamic content.
  • Manage the personalization business management system and optimization processes.
  • Establish KPIs and metrics to measure personalization effectiveness (conversion rates, AOV, engagement, retention, customer satisfaction).
  • Collaborate with data scientists and analytics teams to build predictive models and recommendation algorithms.
  • Generate insights from customer behavior data to inform personalization strategies.
  • Monitor and report on program performance to senior leadership and stakeholders.
  • Partner with cross‑functional teams to align personalization efforts.
  • Influence strategic decisions through data‑driven insights and clear communication with executive stakeholders.
  • Manage vendor relationships and evaluate personalization technology platforms.
  • Work with technology teams to augment personalization platforms and tools.
  • Ensure proper tag implementation and data quality for personalization initiatives.
  • Partner with IT and DT teams for personalization requirements and integrations.
  • Stay current on AI/ML capabilities and emerging personalization technologies.
  • Manage team performance through clear direction, regular one‑on‑ones, and bi‑annual development plans.
  • Lead recruitment and onboarding for team positions including job descriptions, interviewing and candidate selection.
  • Support employee growth through training, mentorship and career development planning.
  • Foster team collaboration, innovation and empowerment through recognition programs and team‑building initiatives.
Qualifications
  • 10+ years of experience in personalization, preferably on large eCommerce websites.
  • Deep expertise with Adobe Target or similar platforms.
  • Experience with customer segmentation, behavioral targeting, and recommendation engines.
  • Understanding of data infrastructure requirements to enable personalization at scale.
  • Experience with DMPs and/or CDPs to enable personalized customer journeys.
  • Bachelor's degree required.
Preferred Qualifications
  • People‑management experience.
  • Knowledge of AI/ML applications in personalization and product recommendations.
  • Familiarity with CDPs and data management.
  • Experience with agile/scrum methodologies.
  • Understanding of data collection strategies and privacy‑compliant personalization practices.
  • Strong understanding of A/B testing methodologies and statistical significance.
  • Proficiency with analytics tools (Adobe Analytics, Google Analytics, or similar).
  • Proven ability to work with data scientists and translate complex data into business strategies.
Key Competencies
  • Strategic thinking with ability to balance long‑term vision and tactical execution.
  • Strong analytical and problem‑solving skills with data‑driven…
Position Requirements
10+ Years work experience
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