
Data Platform Strategist
1 day ago
Product Manager - Data Platform Specialist
About the Role:
We are seeking a seasoned Product Manager to spearhead data product initiatives across the enterprise.
Key Responsibilities:
- Strategic Planning: Develop and manage product strategy, backlog, and roadmap for data platform capabilities.
- Cross-Functional Collaboration: Work closely with engineering, analytics, and business teams to gather requirements and translate them into technical deliverables.
- Data Pipeline Development: Partner with architects and developers to build scalable, secure, and reliable data pipelines using Snowflake as the core platform.
- Customer Alignment: Ensure alignment with US-based business stakeholders through effective communication and project management.
- Performance Metrics: Define and track key performance metrics for data platform products.
- Acknowledgement and Adoption: Drive adoption and usability of Snowflake-based solutions.
- Agile Environment Support: Facilitate delivery teams in Agile/Scrum environment, ensuring smooth backlog grooming, sprint planning, and retrospectives.
Required Skills and Qualifications:
- Experience: 5+ years of experience as a Product Manager or Technical Product Owner in data-focused projects.
- Data Architecture: Strong understanding of data architecture, data modeling, and data pipeline design.
- Cloud Platforms: Experience working with cloud-based data platforms; Snowflake expertise is essential.
- Data Governance: Solid grasp of ETL/ELT processes, data governance, and quality standards.
- Data Launch: Prior experience in building and launching data platform capabilities or products.
- Tools Familiarity: Familiarity with tools like dbt, Airflow, or Fivetran is a plus.
Preferred Qualifications:
- Data Engineering Background: Background in data engineering or analytics before moving into product roles.
- Industry Exposure: Exposure to the restaurant or retail industry is a plus.
- Agile Certification: Agile certification (CSPO, SAFe PO/PM) preferred.
Work Model:
- Time Zone Overlap: Time zone overlap with US teams may be required for meetings.
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