VP, AI Platform

RWE•Austin, TX

25d•$275,000 - $360,000•Onsite

About The Position

The Vice President, Data & AI is the senior technical leader responsible for defining and executing the enterprise-wide data and AI strategy at RWE Clean Energy. This role owns the end-to-end data ecosystem and AI platform, bridging business strategy with technology execution to deliver secure, scalable, production-ready data and AI capabilities. The VP, Data & AI will build and operate a modern Data & AI Platform that powers advanced analytics, machine learning, and responsible AI at scale, while establishing strong governance, driving cross-functional alignment, optimizing costs, and accelerating business value from data-driven insights and AI initiatives.

Requirements

Master’s or PhD degree in computer science, data science, statistics, engineering, or a related STEM field required. MBA preferred.
Strong ability to set technical direction and architecture for large-scale data and AI platforms, including consolidation of data, infrastructure, and application layers.
Deep expertise in running enterprise-level AI/ML solutions, MLOps, responsible AI frameworks, and modern data technologies.
Proven skill in translating business objectives into prioritized data and AI capabilities and roadmaps.
Experience with vendor evaluations, build-vs-buy analyses, and technology selection for enterprise platforms.
Excellent executive-level communication and stakeholder management skills, with the ability to align technical strategy to senior leadership priorities.
Strong analytical, problem-solving, and systems-thinking abilities.
Deep understanding of data governance, compliance, security, and ethical AI practices.
This position is an office-based role with some travel and visits to other RWE Americas offices and field locations
Must be able to sit, walk, or stand for long durations of time
Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or take over sponsorship of employment visas at this time.

Responsibilities

Own the enterprise Data & AI strategy, translating business priorities into a unified multi-year vision and roadmap that encompasses data platforms, analytics, machine learning, and production AI capabilities.
Lead the design, build, and continuous improvement of the integrated Data & AI Platform, including data infrastructure (lakes, warehouses, pipelines), MLOps tooling, model lifecycle management, agents, deployment, monitoring, and operations.
Establish and enforce comprehensive governance frameworks covering data quality, metadata, model lifecycles, responsible AI practices, security, compliance, and ethical standards.
Build, lead, and develop a high-performing Data & AI organization that includes data engineering, data science, analytics, platform engineering, and MLOps teams, fostering technical excellence, innovation, and operational reliability.
Drive cross-functional collaboration with AI product teams, business stakeholders, IT/OT, engineering, and operations to identify high-value use cases, prioritize initiatives, and ensure cohesive delivery of data and AI solutions.
Lead technology evaluation, vendor selection, and build-vs-buy decisions to ensure the platform remains scalable, cost-effective, and future-ready.
Operationalize FinOps and platform governance practices to optimize spending, track ROI, and demonstrate measurable business value from data and AI investments.
Champion organization-wide data and AI enablement by promoting adoption, building literacy, fostering a data-driven culture, and accelerating the journey from experimentation to production-grade solutions.

Benefits

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Education Assistance
Parental Leave
Paid time off
Holidays
Eligible employees also participate in short-term incentives, in addition to salary.