VP, AI Platform Owner

RWE•Austin, TX

3d•$275,000 - $360,000•Onsite

About The Position

The AI Platform Owner is the technical leader for the organization's AI transformation, bridging business strategy and technology execution.This role is responsible for defining, building, and operating the enterprise AI platform to enable secure, scalable, production-ready AI across the organization.The AI Platform Owner owns the platform vision and roadmap, sets governance standards across model lifecycles, data quality, and responsible AI, and drives cross-functional alignment to deliver AI capabilities at scale.

Requirements

Master’s or PhD degree in computer science, data science, STEM, or related field required.
Minimmum 10 years of experience in platform leadership, cloud architecture, data engineering, or related technology roles, including at least 7 years in AI/ML engineering or data platforms, with a proven track record of delivering production-grade AI solutions and operating at senior or cross-functional scope
Proven ability to set technical direction for large-scale AI or data platform initiatives within complex enterprise environments
Proven experience with running enterprise level AI solutions at scale
Strong architectural and systems thinking with the ability to consolidate data, infrastructure, and application layers
Familiarity with governance, compliance, and responsible AI frameworks, with the ability to partner with subject matter experts to operationalize them
Experience contributing to vendor evaluations, technology selection, or build-vs-buy analyses for enterprise platforms or large-scale technology initiatives
Demonstrated skill in translating business objectives and AI product needs into platform capabilities and technical roadmaps
Executive-level communication skills with the ability to align technical strategy to senior leadership priorities
This position is an office-based role with some travel and visits to other RWE Americas office and field locations
Must be able to sit, walk, or stand for long durations of time

Responsibilities

Own the technical pillar of the enterprise AI transformation, translating transformation priorities into platform vision and multi-year roadmap
Oversee the design, build, and continuous improvement of AI/ML infrastructure, agents, tooling, operations, deployment, and monitoring capabilities
Establish and enforce governance frameworks covering model lifecycles, data quality standards, responsible AI practices, security controls, and compliance requirements
Drive cross-functional alignment between AI product teams, data engineering, IT/OT, and business stakeholders to ensure cohesive delivery of AI initiatives
Co-lead vendor evaluation and build-vs-buy decisions alongside key stakeholders to ensure scalable, future-ready platform capabilities
Operationalize FinOps best practices and platform usage governance to optimize spending and demonstrate return on AI investment
Build and lead a high-performing AI platform team, driving technical excellence and operational reliability.
Champion organization-wide AI enablement by promoting adoption, building literacy, and accelerating the path from experimentation to production