Job Description
We are looking a Senior Data Product Owner to lead the delivery and strategic development of data-driven products and platforms. This role will bridge the gap between business needs and technical implementationowning the product lifecycle, translating business requirements into data solutions, and ensuring the integrity of data models and analytics pipelines, especially within the Azure ecosystem.
Key Responsibilities:
- Define and prioritize the product backlog for data-driven initiatives, focusing on measurable business outcomes.
- Act as a key liaison between business stakeholders, data engineers, data scientists, and analytics teams.
- Lead data product development using Agile methodologies, driving sprint planning, backlog grooming, and stakeholder reviews.
- Analyze complex business requirements and translate them into scalable data models and solutions.
- Drive the design and validation of robust data models, ensuring high data quality and consistency.
- Collaborate with Azure data platform teams to deliver secure, efficient, and scalable cloud-based data solutions.
- Monitor and measure the performance of data products, ensuring alignment with KPIs and business goals.
- Champion data governance, quality, and compliance practices across all stages of the product lifecycle.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
- 6+ years of experience in Data/Analytics/BI roles, with 3+ years in a Product Owner or Business Analyst capacity.
- Strong understanding of data modelling (relational, dimensional, and modern NoSQL/data lake concepts).
- Hands-on experience with Azure Data Services (Azure Data Factory, Azure Synapse, Azure SQL, Data Lake, etc.).
- Proven track record of gathering, documenting, and prioritizing business and technical requirements.
- Proficiency in tools like Power BI, SQL, and Azure DevOps/JIRA.
- Strong stakeholder management, analytical thinking, and problem-solving skills.
- Agile/Scrum certification is a plus (e.g., CSPO, SAFe PO/PM).
Key skill Required
- SQL
- Agile methodologies
- Azure
- Data Governance
- Data Lake
- Analytical Thinking
- Analytics
- Azure Data Factory
- Business Goals
- Compliance
- Computer Science
- Data Product
- Data Quality
- Data Science
- Data Services
- Design
- Development
- Ecosystem
- Governance
- JIRA
- Management
- NoSQL
- Power BI
- Product Backlog
- Product Development
- Proven Track Record
- Science
- Sprint Planning
- Stakeholder Management
- Validation
