AI Transformation Lead

Twin Valley · Overland Park, KS · 4 wk ago

HybridConsultingFull-time

About the role

The AI Transformation Lead is responsible for orchestrating and translating AI investments into positive EBITDA impact across the Twin Valley Family of Companies. This role will help move the company from experimentation and reliance on outside consultants to a company with proven internal expertise to use AI as a differentiator for the clients we serve.

Responsibilities

Evaluate where AI can meaningfully improve business processes, customer service and outcomes, service delivery workflows, decision-making, and efficiency.
Orchestrate the delivery of AI pilots and for pilots that demonstrate measurable value, determine resourcing needed to go-to-market.
Personally validate partner-delivered work (architecture reviews, model choices, retrieval performance) rather than relying on partner self-reporting.
Prototyping or piloting use cases directly when speed or learning demands it.
Evaluate AI tooling and platforms hands-on, not just through vendor demos.
Lead a structured, collaborative approach to opportunity identification, including discovery with leaders and teams to surface pain points and requirements.
Define a consistent methodology for assessing, framing, and prioritizing AI use cases. Clarify what success and failure look like, learn quickly, and “fail fast” where appropriate. Develop clear reporting on AI initiatives measurement criteria.
Develop and articulate AI strategy that connects business objectives, data strategy, and technology capabilities. Sequence investments across data, security, hardware/software, people, partners, reporting, and automation layers.
Apply enterprise AI architecture principles to early pilots, including scoped agents with defined tools, governed retrieval, and software-enforced access controls, recognizing that early design choices establish patterns that the long-term AI platform will inherit.
Guide prioritization of AI and automation initiatives across teams without personally executing all technical work. Prevent scope creep and fragmented experimentation.
Career Development
Enable all levels of employees to develop AI as a core competency with a structured, scalable plan.
Continuously scan the external landscape for disruptive threats and emerging opportunities, helping leadership think like a startup or new market entrant.
Support the company by completing other duties as assigned.

Requirements

Practical experience applying AI and data strategies in real business environments, with the ability to show what was done, how it was done, and what results were achieved. Strong preference for demonstrated results in both internal use settings and external/client outcomes.

3-5 years experience in a solutions architect or product management roles preferred.

Experience leading and implementing AI transformation initiatives. Has personally led the deployment of at least one AI/ML system into production at a company that uses it daily.

Bachelor’s degree in artificial intelligence / machine learning, computer science, data science, software engineering, or related technology field required.

Master’s degree preferred.

Strong understanding of how data quality, structure, governance, and reporting mechanisms impact AI outcomes; ability to help define what “good data” looks like and how it is maintained over time.

Technical fluency to read architecture diagrams, evaluate model and tooling choices, and prototype in code when needed.

Track record of orchestrating external partners and vendors, negotiating scope, holding them accountable to outcomes and transferring knowledge in-house.

Strategic mindset with the ability to connect AI initiatives to business strategy, long-term competitiveness, and measurable business impact.

Qualifications