Technical Product Manager
Listed on 2026-01-24
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
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.
- 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.
- 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.
- 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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