AI Senior Manager
About The Position
The AI Senior Manager leads MISO’s Grid Frontier Studio, a dedicated team that tackles strategic and complex challenges through focused, autonomous, cross-functional delivery. The Studio develops industry-changing products by starting with strategic problems, forming teams around outcomes, rapidly testing assumptions, and moving 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, translating strategic priorities into flagship initiatives with clear value and measurable outcomes. It is accountable for turning these 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 embeds cybersecurity, architecture, data, AI governance, regulatory, risk, and reliability practices while minimizing delivery friction. The AI Senior Manager also identifies emerging technologies, industry trends, and external innovations and translates them into actionable opportunities, partnerships, and reusable enterprise-scale capabilities.
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.
- 10 or more years of experience in software engineering, data and analytics, AI/ML engineering, integration architecture, or related technology disciplines.
- 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 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.
- Experience with emerging AI technologies, such as agentic AI, orchestration frameworks, tool calling, or multi-agent architectures.
Responsibilities
- Partner with executive leaders and business stakeholders to identify complex problems where technology, data, AI, or operating models can create value.
- Build and lead multidisciplinary teams across business, product, technology, data, AI, and transformation expertise.
- Develop talent for ambiguous, high-impact, and fast-moving environments.
- Establish repeatable innovation and delivery practices, including playbooks, frameworks, and communities of practice.
- Use a flexible talent model that combines internal expertise with strategic partners and specialized external capabilities when appropriate.
- Lead initiatives through a structured lifecycle, from vision and definition through MVP, validation, value realization, and transition to scale.
- Embed cybersecurity, architecture, data, 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
- Comprehensive benefits package.
- 401(k).
- Vacation.
- Sick and safe time, available on the first day of employment.
- Eligibility for an annual bonus if individual performance and company objectives are met.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
