Data Product Manager for GOPS Fulfillment

Há 3 dias


Porto, Porto, Portugal Adidas Tempo inteiro
Adidas Data Product Owner Job Description

At Adidas, we believe that through sports, we have the power to change lives. Our Data & Analytics team plays a pivotal role in our journey to becoming the most innovative and digital sports company in the world.

Company Overview:

We are seeking a Product Owner for GOPS Fulfillment Data Products. Our vision is to create data products that empower various functions and our consumer base to utilize data efficiently, enabling them to develop diverse use cases.

Job Responsibilities:
  1. Develop and manage product roadmaps to create strategic plans for data products, maintaining backlogs and ensuring alignment with business goals.
  2. Lifecycle management: oversee the creation, evolution, maintenance, and retirement of data products throughout their lifecycle.
  3. Product success and delivery: be accountable for the product's success, including return on investment (ROI), and ensure delivery aligns with the roadmap and committed timelines.
  4. Demand and stakeholder communication: capture, communicate, and prioritize demand via the product roadmap and objectives and key results (OKRs); evaluate and inform consumers about progress.
  5. Consultation and transparency: consult with internal users for data product consumption, explain complex topics, and create transparency on capacity constraints and skill gaps.
  6. Data insights and quality: work together with IT colleagues and Business Product Owners to analyze and understand how data is generated along specific business processes.
  7. Agile and change management: follow agile processes, prioritize backlogs, manage sprint planning, drive change management, and facilitate technical discussions with engineering teams and stakeholders.
Requirements:
  1. University degree in Systems Information/Engineering/Management.
  2. Years of experience in a Data PO/Agile/PM function with diplomatic stakeholder management.
  3. Proficient spoken and written command of English.
  4. Deep understanding of data warehousing with different integrations and data processing patterns.
  5. Good understanding of data modeling and data architecture.
  6. Full data analysis using SQL and preferably knowledge of Databricks, PySpark, Power BI, and exposure to SAP/SAP BW.
What We Offer:
  • Competitive salary and bonus structure.
  • Hybrid work policy and flexible working hours.
  • Sports and work-life balance incentives.
  • Upskilling and internal growth opportunities.
  • An international and diverse work environment.
  • Average salary $80,000 - $110,000 per year based on location and experience.

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