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.

Accountabilities:

• 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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1