Data Product Owner

A Leading Global Consultancy is seeking a strategic Data Product Owner to lead the development of innovative data-driven solutions for the financial services industry. In this high-impact role, you will be responsible for defining the product vision and managing the data roadmap to meet evolving client needs. Furthermore, you will bridge the gap between business stakeholders and engineering teams to ensure the delivery of high-value data products. Consequently, this position is vital for driving digital transformation and maintaining our competitive edge in the data tech market.

The Data Product Owner must possess a deep understanding of data architecture, analytics, and Agile methodologies. Additionally, you will lead the prioritization of the product backlog and define clear acceptance criteria for technical features. Therefore, the consultancy is looking for a professional with over 10 years of experience in data or product management. If you are a visionary leader with a passion for turning complex data into actionable products, this Data Product Owner role offers a premier executive platform.

Key Responsibilities

• Define and communicate a clear product vision and strategy for data-driven platforms.
• Manage the end-to-end product lifecycle from ideation and requirements gathering to launch.
• Prioritize the product backlog based on business value, client feedback, and technical feasibility.
• Collaborate with data scientists and engineers to design scalable data architectures.
• Ensure the delivery of high-quality data products that meet strict regulatory and security standards.
• Act as the primary liaison between business heads, clients, and technical development teams.
• Monitor product performance metrics and drive continuous improvement through iterative releases.
• Develop user stories, wireframes, and detailed functional specifications for data features.
• Lead sprint planning and daily stand-ups within an Agile development environment.
• Stay ahead of industry trends in Big Data, AI, and cloud-native technology.

Requirements and Qualifications

• Degree in Computer Science, Data Science, or MBA with a focus on Technology.
• 10+ years of experience in Data Management, Business Intelligence, or Product Management.
• Strong understanding of ETL processes, data warehousing, and advanced analytics.
• Expertise in Agile/Scrum methodologies and tools like JIRA or Azure DevOps.
• Exceptional communication skills and the ability to influence cross-functional teams.