Career Category
Sales & Marketing Operations
Job Description
Role summary
The AIN Marketing Manager, AI Technology Specialist will serve as a franchise partner to the U.S. Oncology Business Unit, helping teams translate business challenges into practical, responsible, and scalable AI-enabled solutions. Working closely with U.S. brand marketers, Marketing Operations, analytics, field teams, Data and AI, Information Systems, Legal, Regulatory, Compliance, and other cross-functional partners, this individual will identify opportunities to apply AI where it can meaningfully improve efficiency, decision-making, execution quality, and business impact.
The role will support the design, development, testing, and adoption of approved generative AI solutions, AI-enabled development tools and workflows, AI-assisted insight generation and synthesis, and workflow automation. The individual will also establish and lead the measurement of AI initiatives across the OBU, ensuring solutions are evaluated against clearly defined adoption, efficiency, quality, and business-impact measures.
This role does not replace brand, technology, analytics, or compliance ownership. It serves as the connective point that translates OBU business needs into execution-ready AI use cases and works with the appropriate partners to develop, govern, scale, and sustain those solutions. By simplifying work and accelerating decisions, the role will help the OBU operate with greater direction, speed, and purpose in service of patients. Core deliverables will include a prioritized AI use-case dashboard, solution business cases, pilot plans, measurement dashboards, governance documentation, and concise leadership readouts.
Key responsibilities
AI opportunity identification and prioritization
Partner across OBU franchise and brand functions to identify business challenges that may be addressed through AI, automation, or technology-enabled process improvement.
Conduct discovery sessions and workflow assessments to understand user needs, pain points, current processes, data requirements, and desired outcomes.
Translate business problems into clear AI use cases, functional requirements, user stories, solution concepts, and measurable success criteria.
Maintain an integrated pipeline of OBU AI opportunities and support prioritization based on business value, user impact, feasibility, risk, scalability, and potential for cross-franchise reuse.
Identify common needs across brands and functions and recommend shared solutions rather than duplicative, brand-specific builds where appropriate.
Develop clear business cases and pilot recommendations that define the problem, proposed solution, expected value, resource requirements, risks, and measurement approach.
Help distinguish where AI is the appropriate solution and where process simplification, standardization, or a non-AI technology solution may better address the need.
AI solution design and development
Design, configure, test, and improve approved generative AI assistants that support approved OBU business processes and user needs.
Develop and coordinate AI-enabled development tools and workflows that automate repeatable tasks, improve access to information, support data preparation, or simplify operational processes.
Build practical prototypes using approved AI, automation, analytics, and low-code or no-code platforms.
Partner with Data and AI, Information Systems, engineering, analytics, and other technical teams to move validated prototypes into secure, sustainable, and scalable solutions.
Develop reusable solution components, prompt frameworks, templates, workflow patterns, and documentation that can be adapted across brands and functions.
Establish clear testing and acceptance criteria, including output quality, accuracy, usability, reliability, security, and required human review.
Ensure solutions are grounded in approved sources and include appropriate traceability, quality checks, and human-in-the-loop controls.
Monitor…