Data Product Manager

Résumé du poste

The Data Product Manager owns the strategy, roadmap, and lifecycle management of enterprise data platforms and integration capabilities. The role focuses on driving platform adoption, optimization, and governance to support analytics and operational insights.

Détails du poste

Job description: Job Summary The Data Platform Product Manager owns the strategy, roadmap, and lifecycle management of enterprise data platforms and data integration capabilities. This role drives the adoption, optimization, and governance of data platforms that supsdport analytics, reporting, operational insights, and advanced data initiatives. Working closely with Architecture, Engineering, Security, Finance, and Analytics teams, the position ensures platforms remain scalable, secure, reliable, and cost-effective while delivering business value. Key Responsibilities Define and manage the enterprise data platform roadmap aligned with business and analytics objectives. Own platform capabilities, backlog prioritization, feature planning, and lifecycle management. Collaborate with Architecture and Engineering teams to establish standards, design patterns, and operational best practices. Drive platform adoption through improved onboarding, documentation, and user enablement. Ensure compliance with security, privacy, governance, and regulatory requirements. Manage platform budgets, capacity planning, consumption forecasting, and cost optimization initiatives. Establish KPIs and success metrics related to platform reliability, performance, adoption, and cost efficiency. Monitor industry trends and recommend enhancements to platform architecture, tooling, and integration capabilities. Coordinate with stakeholders to balance business priorities, technical requirements, risk, and value delivery. Support additional initiatives as required Skill Requirements Technical Skills Enterprise Data Platforms: Snowflake, Azure Data Lake (ADLS), Microsoft Fabric, Databricks Databases: SQL Server, PostgreSQL, Oracle Data Integration: ETL/ELT, orchestration tools, CI/CD for data platforms Data Management: Data modeling, metadata, observability, SLAs/SLOs Security & Governance: Access management, encryption, auditability, data classification, retention policies Cloud Cost Management (FinOps) and capacity planning Product Management Skills Product roadmap development and backlog management Agile methodologies (Scrum/Kanban) Requirements gathering and prioritization KPI definition, performance measurement, and continuous improvement Business case development and value-based decision making Soft Skills Stakeholder management and communication Strategic planning and problem-solving Strong analytical mindset Organizational and time management skills Customer-focused approach with excellent documentation capabilities Other Requirements Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, Analytics, or related field. 3-5+ years of Product Management/Product Owner experience in technology, data, analytics, or platform environments. Relevant certifications such as Azure, Snowflake, SAFe, Lean Six Sigma, or Product Management certifications are preferred.

Ce que vous ferez

The Data Product Manager owns the strategy, roadmap, and lifecycle management of enterprise data platforms and integration capabilities. The role focuses on driving platform adoption, optimization, and governance to support analytics and operational insights.

Exigences

Requires a Bachelor's degree in a technical or business field and 3-5+ years of Product Management experience in data or platform environments. Proficiency in enterprise data platforms like Snowflake and Databricks, along with Agile methodologies, is essential.

Compétences indiquées

• PostgreSQL · Souhaitée
• Oracle · Souhaitée
• Stakeholder Management · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Product Roadmap Development
• Backlog Management
• Agile Methodologies
• Stakeholder Management
• Cloud Cost Management
• Data Modeling
• ETL/ELT
• Snowflake
• Azure Data Lake
• Microsoft Fabric
• Databricks
• SQL Server
• PostgreSQL
• Oracle
• Data Governance
• KPI Definition

Domaines d’emploi

• Data & Analytics
• Technology
• Management & Leadership
• Software
• Consulting