Manager, AI Business Support

CAS•Columbus, OH

13d

About The Position

The Manager, AI Business Support leads the CAS AI team’s forward-deployed engineers, known as AI Business Partners, who work with CAS and ACS business functions to identify problems and bring AI solutions into production. The manager builds trusted relationships with senior business leaders, champions AI adoption, guides technical work, and ensures delivered solutions meet quality expectations. Hands-on development is not required. The role also runs the internal governance process for applying CAS AI policy to business use cases and leads the AI champion network. Champions remain in their business functions, where they answer day-to-day questions and build within a defined scope; AI Business Partners handle escalations and work requiring deeper engineering expertise. Solutions that become shared platform capabilities or serve customers are handed off to other parts of the CAS AI team with a written specification, evaluation plan, and named business owner.

Requirements

Bachelor’s degree in computer science, engineering, a scientific field, business, or a related discipline, or equivalent experience.
Typically 8 or more years of experience in technology, product, consulting, or engineering roles, including 3 or more years leading people.
Experience leading engineers or technical teams and driving technical work to delivery.
Working knowledge of how AI applications are built, including large language models, agents, and integration with business systems and data, sufficient to direct work and judge its quality.
Experience working directly with senior business stakeholders to turn problems into delivered solutions.
Strong coaching and people development skills.
Experience teaching or training others and explaining technical topics to nontechnical audiences.

Nice To Haves

Prior hands-on experience in software engineering, solutions engineering, or a related technical role.
Experience in a forward-deployed, customer engineering, or embedded consulting team.
Experience running an internal champion, ambassador, or community of practice program.
Experience running a governance, risk, or review process across multiple functions.
Experience in the information industry, scientific publishing, or a scientific organization.

Responsibilities

Build trusted relationships with leaders across CAS and ACS functions and serve as a first point of contact for AI questions.
Shape the internal AI use case portfolio by assessing problems, frequency, value, and the cost of mistakes.
Decide whether each use case should reuse an existing solution, be purchased, built, or placed on the backlog, and explain decisions in business terms.
Track solution value after launch and retire solutions that no longer provide sufficient value.
Direct the team’s technical work from design through deployment and support, setting priorities and removing obstacles.
Set and enforce quality expectations for testing, security, documentation, and supportability.
Assess whether solutions are fit for purpose, bringing in technical colleagues when deeper expertise is needed.
Ensure solutions have defined test cases and quality measures, and decide whether they are ready for users.
Coordinate with platform, evaluation, and infrastructure colleagues so solutions use shared platforms and meet engineering and security requirements.
Determine when solutions should be handed off as shared platform capability and lead the handoff with a clear specification.
Sponsor and organize the AI champion network; define and document its charter, expectations, scope, and time commitments with relevant stakeholders.
Set champion nomination criteria based on demonstrated AI use and peer trust, and secure managers’ commitment to protected time.
Design champion training around each champion’s work, using delivery of a real use case from their function as the completion standard.
Prepare champions to answer AI questions, teach peers, and recognize when to escalate to AI Business Partners.
Lead AI education for business functions through sessions, demonstrations, office hours, and reusable guides.
Provide ongoing support for the champion network through community activity, manager briefings, and continual renewal.
Hire, coach, and develop forward-deployed engineers, with growth paths in technical depth and business partnership.
Build a team culture of ownership, curiosity, and close partnership with the business.
Set team goals, assignments, and quality standards, and provide regular, direct feedback.
Run the intake and review process applying CAS AI policy to internal use cases and tool requests.
Maintain the internal AI use case register, including owners, approved tools, data used, and status.
Coordinate reviews with Legal, Information Security, Privacy, and Procurement, and track requests through to decisions.
Keep the governance process fast and predictable, with clear criteria for full versus lighter reviews.
Report policy friction or gaps in practice to policy owners.