AI Senior Manager

MISO•Carmel, IN
•$184,000 - $209,000•Onsite

About The Position

The AI Senior Manager leads MISO’s Grid Frontier Studio, a dedicated team that addresses strategic and complex challenges through focused, autonomous, cross-functional delivery. The Studio starts with strategic problems, forms teams around desired outcomes, rapidly tests assumptions, and moves promising concepts toward production and enterprise scale. The role partners with executive leaders to identify and shape high-value opportunities aligned with MISO’s strategy and Reliability Imperative. It translates strategic priorities into flagship initiatives with clear value and measurable outcomes, and is accountable for turning those opportunities into sustained enterprise impact by accelerating innovation, building differentiated capabilities, and scaling successful solutions across MISO. The role leads initiatives from vision and definition through MVP, validation, value realization, and transition to scale. It also establishes repeatable innovation and delivery practices and embeds cybersecurity, architecture, data and AI governance, regulatory, risk, and reliability practices into initiatives while minimizing delivery friction.

Requirements

  • Bachelor’s degree in computer science, engineering, information technology, data science, or a related technical field.
  • Master’s or advanced degree in AI, computer science, or technology is required.
  • 10+ years of experience in software engineering, data and analytics, AI/ML engineering, integration architecture, or related technology disciplines.
  • Proven ability to lead technical teams and deliver enterprise-scale technology capabilities.
  • Demonstrated success guiding complex, cross-functional initiatives from strategy through implementation and measurable business impact.
  • Strong executive presence and ability to influence senior business and technology leaders and communicate effectively across diverse stakeholder groups.
  • Deep technical expertise in CI/CD, testing, observability, version control, security, and modern DevOps/MLOps practices.
  • Ability to translate new or emerging technologies into practical, scalable business and operational capabilities.

Nice To Haves

  • At least 3+ years of leadership experience is preferred.
  • Experience with emerging AI technologies, such as agentic AI, orchestration frameworks, tool calling, or multi-agent architectures, is strongly preferred.

Responsibilities

  • Partner with executive leaders and business stakeholders to identify complex problems where technology, data, AI, or operating models can create meaningful value.
  • Build and lead multidisciplinary teams spanning business, product, technology, data, AI, and transformation expertise to execute strategic initiatives.
  • Develop talent equipped to work in ambiguous, high-impact, fast-moving environments.
  • Establish repeatable innovation and delivery practices, including playbooks, frameworks, and communities of practice.
  • Use a flexible talent model combining internal expertise with strategic partners and specialized external capabilities where appropriate.
  • Lead initiatives through a structured lifecycle, from vision and definition through MVP, validation, value realization, and transition to scale.
  • Embed cybersecurity, architecture, data and AI governance, regulatory, risk, and reliability practices into initiatives while minimizing delivery friction.
  • Identify and assess emerging technologies, industry trends, and external innovations, translating them into actionable opportunities, partnerships, and reusable enterprise-scale capabilities.

Benefits

  • 401k
  • Vacation, sick, and safe time available on the first day of employment.
  • Annual bonus eligibility if individual performance and company objectives are met.
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