Director of Data Platforms & Governance

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Data Platforms & Governance in the United States.

This is an exciting opportunity for a strategic and technically driven leader to shape the future of enterprise data infrastructure within a fast-growing, innovation-focused environment. In this role, you will lead the development of scalable, AI-ready data platforms that power analytics, operational excellence, and product innovation across the organization. You will work cross-functionally with engineering, product, analytics, security, and business teams to establish trusted, reliable, and well-governed data ecosystems. The position combines strategic vision with hands-on leadership, offering the chance to build high-performing teams, modernize data operations, and influence company-wide decision-making. Ideal for someone passionate about cloud technologies, governance frameworks, and data-driven transformation, this role offers strong visibility and impact in a collaborative remote-first culture.

• Define and execute the long-term strategy, architecture, and operational model for the company’s cloud-based data platform to support analytics, AI, and business intelligence initiatives.
• Lead and mentor a high-performing data platforms organization, establishing clear objectives, accountability structures, and scalable engineering practices.
• Build and oversee robust ETL/ELT pipelines integrating data from product telemetry, APIs, SaaS applications, and enterprise systems.
• Establish and maintain comprehensive data governance frameworks, including data ownership, lineage, access management, quality standards, and lifecycle policies.
• Drive the development of curated datasets and scalable data models to improve operational reporting, analytics accuracy, and machine learning readiness.
• Collaborate closely with cross-functional stakeholders across Product, Engineering, Security, Finance, and Operations to ensure seamless data integration and platform reliability.
• Implement processes and monitoring systems that improve data quality, pipeline performance, compliance, and operational efficiency across the organization.
• Support AI and advanced analytics initiatives by ensuring the availability of secure, reliable, and well-structured data infrastructure.

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• 10+ years of experience in data engineering, analytics infrastructure, or enterprise data platform leadership roles.
• Strong expertise with AWS data technologies such as S3, Glue, Athena, Redshift, and Lambda.
• Proven experience designing and scaling cloud-based data platforms and modern data architectures.
• Hands-on experience building and optimizing ETL/ELT pipelines and integrating data from APIs, telemetry sources, and enterprise SaaS platforms.
• Deep understanding of data governance practices, including metadata management, access controls, data lineage, and compliance standards.
• Advanced SQL, data modeling, and analytics infrastructure expertise with experience supporting BI, AI/ML, or data science teams.
• Experience integrating enterprise systems such as Salesforce, ERP platforms, finance systems, and customer success tools.
• Strong leadership, communication, and stakeholder management skills with the ability to influence executive-level decision-making.
• Ability to thrive in fast-paced, high-growth environments while managing complex, cross-functional initiatives independently.

Benefits:

• Competitive compensation package including equity or stock option opportunities
• Remote-first work environment with flexible scheduling
• Comprehensive healthcare coverage and retirement plan matching
• Unlimited paid time off policy
• Opportunity to work on cutting-edge AI-ready data infrastructure projects
• Collaborative and high-growth company culture
• Professional growth and leadership development opportunities
• Meaningful work with visible organizational impact.