Data Product Manager III
Expedia GroupAbout the role
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Data Product Manager III
We are seeking a talented and experienced Data Product Manager with a solid background in crafting product requirements, change management, stakeholder engagement, data querying, and expertise in ecommerce marketing concepts. This role requires a strategic thinker capable of overseeing data product development, driving change initiatives, and aligning stakeholders within an ecommerce-focused environment. This role not only involves leading data product development but also focuses on analytics enablement. We want to give our analysts clean and relevant data to analyze, that will enable them to recommend the correct actions for the business to take, at the right time. Knowledge of various analytics platforms for analysis, visualization, and machine learning is required.
This role unlocks value for our Marketing Analytics team by driving and executing Marketing Analytics data strategy and by advocating for improvements to our internal tooling and processes. You will have the chance to work with a talented and diverse team collaborating with individuals across the organization to drive impactful results join Expedia and be part of an innovative data driven company that values diversity and fosters a culture of continuous learning and development.
What you'll do:
Data Product Development: Lead the conception, design, and development of data products by defining requirements and ensuring alignment with ecommerce marketing objectives
Change Management: Implement and oversee change initiatives related to data product development, ensuring smooth adoption and alignment with stakeholder needs. This will include removing old datasets as well as adding new ones, making sure our analysts have the most relevant datasets available to them to let them drive data driven decision making
Stakeholder Engagement: Collaborate closely with stakeholders, fostering alignment and buy-in for data product strategies, analytics platform initiatives, and ecommerce-focused initiatives
Analytics Enablement: Drive the enablement of analytics within the organization, ensuring teams have access to and proficiency with analytics platforms for visualization and machine learning
Data Querying: Proficient in querying and analyzing data using tools such as SQL, Python, or other relevant technologies to inform product development and to support data-driven decision-making within an ecommerce context
Strategy Development: Contribute to the development and execution of data product strategies that align with ecommerce marketing objectives, ensuring timely delivery to meet the objectives, as well as scalability and effectiveness
Requirement Gathering: Elicit and document clear and actionable product requirements, considering stakeholder needs, technical feasibility, and ecommerce marketing concepts
Cross-functional Collaboration: Work closely with data engineering, analytics, and ecommerce marketing teams to ensure successful product development, seamless integration, and alignment with ecommerce-focused organizational objectives
Governance: Contribute to governance committees throughout EG to ensure our needs are represented and fulfilled
Who you are:
3 to 5 years minimum of proven experience as a Product Manager with a focus on data product development and requirement creation
Bachelor’s or Master’s in Computer Science, Data Management, Business Analytics or a related technical field; or equivalent related professional experience
Proficiency in data querying using tools such as SQL, Python, or other relevant technologies
Deep knowledge of ecommerce marketing concepts and strategies
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights within an ecommerce context
Demonstrable stakeholder engagement and communication skills and ability to drive alignment and buy-in, specifically within the ecommerce marketing domain
Strong expertise in change management related to product development initiatives
Experience building clear, concise and
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