Director, Product Management – Enterprise Data Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the necessary capabilities for the enterprise data foundation, including governed data sharing, access controls, entity resolution, semantic models, shared definitions, and data quality standards.

• Collaborate with Data Architecture and Data Engineering to create scalable, secure, and well-governed platform capabilities.

• Advocate for contemporary data architecture practices, such as data mesh and layered (medallion) architectures.

• Establish standards for semantic context, metadata, governance, and data design.

• Define and take ownership of the vision and multi-year roadmap for the enterprise data foundation, starting with the Snowflake platform.

• Align platform investments with enterprise priorities and the needs of downstream data products.

• Establish and monitor success metrics for the platform, including data quality, availability, performance, adoption, operational efficiency, and cost optimization.

• Apply Product Operating Model principles to platform intake, prioritization, backlog management, and outcome measurement.

• Oversee intake and prioritization for enterprise data platform initiatives.

• Balance business value, urgency, risk, dependencies, effort, and cost when prioritizing investments.

• Maintain a strategic backlog and facilitate alignment among stakeholders through prioritization forums and governance discussions.

• Identify demand trends and opportunities for reusable platform capabilities.

• Collaborate with Data Engineering, Data Architecture, Governance, and platform administration teams to fulfill roadmap commitments.

• Translate business requirements into technical product requirements, user stories, and acceptance criteria.

• Utilize SQL and technical expertise to validate delivered solutions.

• Partner with Governance and FinOps teams to manage platform consumption, forecast costs, and encourage cost-effective growth.

• Ensure support for analytics, data science, and AI workloads by focusing on data quality, lineage, governance, semantic context, and performance management.

• Establish performance metrics, reporting, and documentation standards.

• Foster alignment across business, operations, technology, governance, security, privacy, and compliance stakeholders.

• Guarantee the implementation and maintenance of role-based access, masking policies, data classification, retention, lineage, and auditability controls.

• Communicate platform strategy, releases, priorities, and performance through executive reporting, documentation, and stakeholder engagement.

• Serve as a trusted advisor on data platform capabilities, governance requirements, and strategic opportunities.

• Stay informed about emerging Snowflake capabilities and modern data architecture trends.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field is required.

• A minimum of ten (10) years of experience in product management, data platform, data engineering, or data architecture roles.

• At least five (5) years in technical product management for data platforms.

• Hands-on experience with Snowflake, either as a technical practitioner or product owner of a Snowflake-based platform.

• Strong background in data warehousing, data mesh, dimensional modeling, layered (medallion) architecture, semantic modeling, and ELT pipelines.

• Proven success in shaping data platform capabilities, influencing engineering direction, and collaborating across business and technology teams.

• Experience leading intake and prioritization processes for shared enterprise platforms that support multiple business units.

• Strong understanding of enterprise data platform architecture, storage concepts, governance, performance optimization, and cost management.

• Expertise in data modeling, semantic modeling, metadata management, lineage, and data catalog concepts.

• Strong SQL proficiency with the capability to independently validate data solutions and review technical designs.

• Familiarity with Snowflake governance and administration concepts including RBAC, secure data sharing, access controls, and consumption management.

• Exceptional prioritization, stakeholder management, communication, and executive influencing skills.

• Understanding of how data quality, governance, and semantic context affect analytics and AI outcomes.

• Ability to lead through influence in highly matrixed environments while balancing business priorities, technical constraints, and long-term platform health.

• Strong knowledge of Agile methodologies and Product Operating Model practices.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) and matching.

• Paid time off (PTO).

• Disability insurance.

• Life insurance.

• Employee assistance.

• Flexible spending account or health savings account.

• Additional voluntary benefits.

• Work-life balance.

• Equal opportunity and drug-free workplace.