Ascentt is seeking a highly skilled Data Product Manager to lead the development and management of our data products. This critical role will involve working closely with business stakeholders and technical teams to define the product vision, prioritize features, and ensure successful delivery of data solutions.
Responsibilities
- Drive the product vision and roadmap for data assets, working closely with business stakeholders to understand requirements and translate them into technical specifications for implementation across Databricks, AWS, and Qlik Replicate platforms
- Manage the complete lifecycle of data products, from conception through implementation, including prioritization of features, documentation, and continuous improvement initiatives
- Lead sprint planning sessions, backlog grooming, and retrospectives while working closely with data engineers, analysts, and cross-functional teams to ensure successful delivery of data solutions
- Collaborate with technical teams to optimize data architecture, ensuring efficient data integration, transformation, and delivery processes while maintaining security and compliance standards
- Lead requirements gathering and prioritization sessions with business stakeholders
- Define success metrics and KPIs for data products and monitor their performance
- Coordinate with engineering teams to ensure technical implementation aligns with business requirements
- Manage relationships with the data and analytics organization and ensure optimal utilization of tools
Required Qualifications
- 10+ years of experience in data product management or similar role, with demonstrated expertise in managing enterprise data platforms
- Knowledge of data modeling, ETL processes, and data warehouse concepts
- Background in implementing data quality frameworks and monitoring solutions
- Strong working knowledge of Databricks, AWS services (particularly data services), and data integration tools like Qlik Replicate
- Experience with agile methodologies and product management practices, including backlog management and sprint planning
- Proven track record of successful data product delivery and stakeholder management
- Strong understanding of data governance, security, and compliance requirements
- Experience with modern data stack technologies and DataOps practices
- SQL and basic programming knowledge
- Experience with data visualization and BI tools
- Excellent communication and presentation abilities for technical and non-technical audiences
- Strong analytical and problem-solving capabilities
