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Technical Product Manager

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

The Technical Product Manager will serve as the Commercial Data & Analytics Product Owner within Client global IT function. This role is responsible for transforming raw data into actionable intelligence that supports marketing, e-commerce, sales, service, and pricing strategies. The role focuses on developing scalable data solutions, interactive dashboards, and a Customer 360 platform that enhances business performance and customer engagement.

This is a cross-functional role requiring leadership, analytical acumen, and deep technical proficiency to guide enterprise-wide digital transformation initiatives.

Key Responsibilities

  • Set and execute commercial data and analytics strategy aligned with business objectives.
  • Define and manage the product backlog for data and analytics solutions.
  • Lead Customer Data Platform (CDP) strategy to enable personalized customer experiences.
  • Collaborate with business and technical teams to evolve data models across the customer journey.
  • Ensure data interoperability across platforms (, SAP Commerce Cloud, etc.) and Databricks.
  • Build and maintain interactive dashboards using Looker Studio and Tableau Cloud.
  • Contribute to Customer 360 development by integrating data from multiple touchpoints.
  • Develop KPIs and metrics to improve marketing and employee engagement strategies.
  • Partner with managed service providers and developers to deliver the product backlog.
  • Guide project execution with agile teams and technical stakeholders.
  • Validate, clean, and analyze datasets from platforms including GA4, Google Tag Manager, Big Query, and Databricks.
  • Support statistical modeling, predictive analytics, and advanced segmentation.
  • Provide data insights and recommend strategies to optimize business performance.
Required Qualifications
  • Minimum 2+ years of experience as a developer/engineer or in a relevant technical role.
  • Proficiency in Python or R for data analysis and modeling.
  • Experience with enterprise data lakes, preferably Databricks.
  • Deep understanding of statistical principles, analytics methodologies, and predictive modeling.
  • Hands-on experience with Google Big Query and SQL.
  • Experience with Looker Studio for dashboard/report development.
  • Ability to manage and prioritize multiple tasks in a fast-paced environment.
  • Strong problem-solving, communication, and collaboration skills.
  • Ability to convert technical requirements into business-relevant outcomes.
  • Proven ability to influence stakeholders and drive cross-functional projects.
  • Demonstrated ownership and passion for product quality and innovation.
Preferred Qualifications
  • Master’s degree in Data Science, Business Analytics, or a related field.
  • Experience working with CRM tools like Salesforce.
  • Experience with SAP Commerce Cloud, Vendavo, or Marketo.
  • Familiarity with Google Analytics (GA4) and Google Tag Manager.
  • Knowledge of data governance, data quality, and compliance standards.
  • Understanding of Agile methodologies and Dev Ops practices.
  • Prior experience in the manufacturing industry or with commercial data platforms.
Certifications (if any)
  • Certification in data analytics, agile product management, or a relevant toolset (e.g., Google Analytics, Tableau, or Databricks) is a plus.
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