Data Product Manager

headsquestcom; Sharjah; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading company is seeking a Product Manager for data products, responsible for the strategic vision and lifecycle management of data solutions. The ideal candidate will collaborate with stakeholders and teams, ensuring product quality and user satisfaction while driving continuous improvement and innovation.

Qualifications

• Experience managing data products from ideation to launch.
• Ability to translate complex business requirements into actionable plans.
• Strong analytical skills with a focus on metrics and KPIs.

Responsibilities

• Oversee end-to-end lifecycle of data product development.
• Collaborate with stakeholders to understand data needs and challenges.
• Monitor product performance and implement enhancements based on feedback.

Skills

Stakeholder Management

Data Product Development

Cross-Functional Collaboration

Data Quality and Integrity

Customer-Centric Approach

Continuous Improvement

Job description

ProductStrategy and Vision : Develop and communicate a clear product vision and strategy for data products aligned with company objectives. Define product goals, success metrics, and key performance indicators (KPIs).

Stakeholder Management : Collaborate with business stakeholders to understand data needs, challenges, and opportunities. Translate business requirements into actionable product roadmaps.

Data Product Development : Oversee the end-to-end lifecycle of data product development, including ideation, requirements gathering, design, execution, testing, and launch.

Cross-Functional Collaboration : Work closely with engineering, data science, and analytics teams to ensure timely delivery of data solutions that meet business needs. Ensure technical feasibility and alignment with data infrastructure.

Data Quality and Integrity : Ensure that the data products meet high standards of quality, consistency, and reliability. Work with technical teams to address data quality issues and implement best practices.

Customer-Centric Approach : Understand and anticipate the needs of both internal and external users of data products. Ensure that the product design and functionality enhance the user experience.

Continuous Improvement : Monitor product performance and feedback to iterate and enhance data products. Use insights and analytics to drive data product enhancements and optimizations.

Documentation and Reporting : Maintain comprehensive product documentation and provide regular updates to leadership on product status, performance, and impact