VP Data & ML Platforms

Accountabilities:

• Own and evolve the enterprise data and ML platform strategy, including architecture across ingestion, storage, transformation, compute, and AI/ML infrastructure.

• Define and enforce a compute-agnostic, scalable data architecture enabling governed access and minimizing data silos across the organization.

• Establish enterprise data governance frameworks, including metadata management, lineage, access controls, schema standards, and data quality enforcement.

• Lead AI/ML infrastructure strategy, including model training environments, MLOps tooling, and scalable deployment and serving frameworks.

• Drive cost governance and infrastructure efficiency across the data platform, ensuring transparency and alignment with business value.

• Lead and scale a global data engineering and platform organization, fostering engineering excellence, accountability, and operational rigor.

• Represent data and AI platform strategy at executive level, influencing enterprise technology direction and investment priorities.

Requirements:

• 15+ years of experience in technology leadership, including at least 5+ years in senior executive roles leading data platform or data engineering organizations.

• Proven experience building and scaling enterprise-grade data platforms in complex, high-growth, and regulated environments.

• Deep expertise across modern data stack technologies, including cloud data warehouses, streaming systems, data lakes, and metadata/governance tools.

• Strong background in enterprise data governance, including data quality, lineage, access control, and compliance frameworks (e.g., HIPAA, SOC 2, FedRAMP readiness).

• Solid understanding of AI/ML infrastructure, including MLOps, model lifecycle management, and compute provisioning for ML workloads.

• Experience operating in M&A or rapidly evolving environments requiring data integration at scale.

• Demonstrated executive presence with the ability to influence technical and non-technical stakeholders and make high-stakes architectural decisions.

• Experience managing distributed engineering teams and attracting top-tier technical talent.

Benefits:

• Competitive total cash compensation: $250,000 – $300,000 USD

• Comprehensive healthcare coverage and employee wellness programs

• Flexible work arrangements supporting hybrid or remote collaboration

• Opportunity to lead enterprise-scale data and AI transformation initiatives

• High-impact executive role with strategic influence on company-wide technology direction

• Inclusive and equal opportunity work environment

• Career growth within a fast-scaling, innovation-driven organization.

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!
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