Data Platform Product Manager
Remote
JOB SUMMARY
The Data Platform Product Manager is responsible for the strategy, roadmap, and lifecycle management of the organization s enterprise data platforms and data integration capabilities across ETL and ELT patterns. This role owns the evolution, adoption, and value realization of cloud and relational data platforms including Snowflake, Azure Data Lake, SQL Server, PostgreSQL, and Oracle to enable analytics, reporting, operational insights, and advanced data use cases.
Working closely with Architecture, Data Engineering, Data & Analytics, Cloud Engineering, Security, and Finance, the Data Platform Product Manager ensures data platforms are scalable, reliable, secure, costeffective, and aligned to enterprise priorities.
ESSENTIAL JOB FUNCTIONS
- Own and maintain the enterprise data platform roadmap, defining near and longterm platform capabilities, sequencing initiatives based on business priorities, technical readiness, and value delivery, and aligning investments to enterprise data and analytics strategy.
- Provide endtoend product ownership for data storage, processing, and data integration platforms, serving as the single point of accountability for platform capabilities, feature prioritization, backlog management, and lifecycle decisions across cloud and relational data technologies.
- Partner closely with Architecture and Engineering teams to define and evolve platform standards, including reference architectures, design patterns, tooling choices, and operational practices that ensure consistency, scalability, and longterm maintainability.
- Work with Finance to develop annual budget forecast to support product roadmap with a view towards a 3 to 5-year budget cycle.
- Ensure compliance with security, privacy, and governance requirements, working with Security, Risk, and Compliance stakeholders to embed controls, data protection standards, and regulatory requirements into platform design and daytoday operations.
- Drive platform adoption and enablement, partnering with data producers and consumers to improve usability, documentation, and onboarding, and ensuring teams understand how to effectively leverage platform capabilities.
- Monitor emerging technology and market trends and update the data and integration platform design practices and tools as capabilities change over time
- Manage cost models, usage transparency, and capacity planning, balancing performance and scalability with financial discipline by monitoring consumption, forecasting growth, and optimizing platform spend in collaboration with Finance and Cloud Engineering.
- Define success metrics and continuously improve platform health, using KPIs such as reliability, performance, cost efficiency, adoption, and customer satisfaction to guide prioritization and ongoing platform improvements.
- Perform other duties as assigned.
QUALIFICATIONS:
Minimum Education and Experience:
- Bachelor s degree in Computer Science, Information Systems, Data/Analytics, Engineering, Business, or related field, or an equivalent combination of education and experience
- Three to five years of experience in product management (or product ownership) within technology, data, analytics, or platform teams
- Proven experience translating business and customer needs into a data platform roadmap and backlog, including requirements for cloud data platforms and ELT/ETL, reliability and performance, data governance, and cost optimization
Preferred Education, Additional Qualifications and Experience
- Experience with Agile product development (Scrum/Kanban) and iterative delivery in partnership with engineering teams
- Hands-on familiarity with modern data platforms and services (e.g., Snowflake, Azure Data Lake/ADLS, Fabric, Databricks, SQL Server, PostgreSQL, Oracle)
- Working knowledge of SQL and data modeling concepts, plus ELT/ETL and orchestration tooling and CI/CD practices for data
- Experience partnering on data governance, security, and privacy controls (e.g., access management, encryption, auditability, data classification, retention) in regulated environments
- Experience with cloud cost management/FinOps, usage transparency, and chargeback/showback models for shared platforms
- Relevant certifications (preferred): Azure (AZ-900/AZ-104/AZ-305), Snowflake, Product Management (i.e Pragmatic Institute), SAFe, or Lean Six Sigma
Required Knowledge, Skills, and/or Abilities
- Ability to structure and manage a platform roadmap and multiple concurrent initiatives, balancing reliability, scalability, security, and time-to-value
- Strong understanding of the product management lifecycle for technical platforms, including discovery, business case/value definition, prioritization, backlog management, delivery, and lifecycle retirement
- Technical fluency with data platform concepts (cloud data warehousing/lakehouse, ELT/ETL, orchestration, metadata, observability, and SLAs/SLOs) sufficient to partner effectively with architects and engineers
- Strong analytical and problem-solving skills, with comfort using data to define KPIs, measure adoption and platform health, and drive continuous improvement
- Customer-centric mindset with the ability to identify and improve platform usability, onboarding, documentation, and developer/analyst experience
- Strong business acumen, including ability to communicate tradeoffs, manage stakeholder expectations, and make prioritization decisions using value, risk, and cost inputs
- Excellent written and verbal communication skills, including the ability to create clear product documentation (vision, roadmaps, requirements, release notes) for technical and non-technical audiences
- Strong organizational skills, including the ability to prioritize, manage dependencies, and respond to shifting deadlines while maintaining delivery transparency
- Strong time management skills with a bias toward execution and the ability to drive decisions, remove blockers, and deliver outcomes
- Ability to manage governance and operational expectations for shared platforms, including risk management, vendor coordination, and incident/issue prioritization
