VP, AI Platform

RWEAustin, TX
$275,000 - $360,000Onsite

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.
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