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Tier-1 employer, product title, and metro location increase candidate competition.
Product plus data engineering skills are transferable across industries but require data domain experience.
Explicit 1–2 year requirement plus mandatory SQL, Python and Databricks skills makes filtering strict.
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Own the digital product lifecycle for internal data domain products, including translating customer needs into user stories and delivering MVPs to confirm value.
Drive the digital product strategy and roadmap while collaborating with multi-functional teams and regional/global stakeholders.
Design and oversee data pipelines using Azure, Databricks, and Power BI, ensuring data governance, security, and compliance; experiment with AI agents to enhance product value.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, Statistics, or related field.
1-2 years of product manager/product owner experience plus 1-2 years in data engineering/software engineering with proven track record.
Proficiency in SQL, Python, and experience with Databricks/Microsoft Fabric technologies.
Certifications preferred: Microsoft Azure Fundamentals, Python Programming Certification, Microsoft Fabric Data Engineer Associate (DP-700), or Databricks Certified Data Engineer Associate/Professional.
Experience operating at the intersection of product management and data engineering to build and deliver data-driven products.
Strong ability to lead multi-functional teams and collaborate across regional/global stakeholders to prioritize and execute product roadmaps.
Practical knowledge of AI product development platforms (e.g., N8N, LangGraph, Langchain) to innovate product features and strategies.