Back
Tier-1 brand, metro location, popular product title, and broad technical requirements increase candidate competition.
Product management skills are transferable, but required data engineering and Azure expertise increases domain specificity.
Explicit years plus mandatory data and tech proficiencies make shortlisting relatively strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Set priorities and define roadmap for an internal digital product in the data domain, collaborating with multi-functional and global teams.
Translate customer needs into user stories, personas, and user journeys, and deliver a hands-on MVP to validate product value.
Design data pipelines using Azure, Databricks, and PBI, and implement product operations including data governance, security, and compliance.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, Statistics, or related field.
1-2 years experience as Product Manager/Product Owner and 1-2 years experience in data engineering/software engineering.
Proficiency in SQL, Python, Databricks/Microsoft Fabric.
Work Experience Required: 1-2 years in product management and data/software engineering.
Experience collaborating with regional/global stakeholders and developers to prioritize product backlogs and define digital product strategies.
Experience building AI products and agents using platforms like N8N, Lang Graph, or Lang Chain is preferred.
Skilled in driving data-driven decisions in complex, multivariable environments with strong analytical and problem-solving skills.