Marketing Manager, AI Technology Specialist

Overview

Serve as a franchise partner to the U.S. Oncology Business Unit, translating business challenges into practical, responsible, and scalable AI-enabled solutions, and leading measurement of AI initiatives across the OBU.

What you'll do

• 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 business cases and pilot recommendations that define the problem, proposed solution, expected value, resource requirements, risks, and measurement approach.
• 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.
• 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 solution performance after deployment and make iterative improvements based on user feedback, usage patterns, output evaluations, and changing business needs.
• Develop AI-enabled approaches to support the synthesis of approved customer, market, campaign, field, operational, and performance information.
• Establish review processes that ensure AI-assisted insights are traceable to source material, appropriately contextualized, and validated before use.
• Identify repetitive, manual, or fragmented workflows across the OBU that could benefit from automation or AI-enabled support.
• Design and support structured pilots and experiments to evaluate AI use cases before broader deployment, including baselines, success criteria, and scale-or-stop decisions.
• Establish and lead a consistent measurement framework for AI initiatives across the OBU, including baseline definition, initiative-level KPIs, and dashboards or scorecards.
• Partner with Legal, Regulatory, Compliance, Privacy, Information Security, Data and AI, and Information Systems to assess and manage risks.
• Maintain an inventory of OBU AI solutions, owners, intended users, data sources, controls, performance measures, and lifecycle status.
• Develop adoption plans, training materials, playbooks, and feedback mechanisms that help OBU teams incorporate approved AI solutions into existing workflows.
• Build and support an OBU community of practice and identify AI champions across franchises and functions.

What you'll need

• Bachelor's degree and 8-13 years of experience in marketing technology, digital transformation, product management, business technology, analytics, automation, or a related role.
• Hands-on experience designing, testing, or implementing generative AI, large-language-model, automation, or AI-enabled workflow solutions.
• Demonstrated ability to translate business needs into clear technical or functional requirements and practical solution designs.
• Experience with generative AI tools, prompt design, workflow automation, APIs, low-code or no-code platforms, or comparable technologies.
• Experience developing pilots, testing solutions, gathering user feedback, and improving products or workflows through iteration.
• Strong analytical skills and experience defining KPIs, establishing baselines, measuring adoption, and evaluating business impact.
• Demonstrated ability to manage multiple initiatives, stakeholders, timelines, dependencies, and risks.
• Strong written and verbal communication skills, including the ability to explain technical concepts clearly to nontechnical audiences.
• Proven ability to work across business, technical, analytics, legal, compliance, and operational teams.
• Strong judgment and attention to detail, particularly when working with sensitive information or AI-generated outputs.
• Ability to lead through influence within a complex, matrixed, and cross-functional environment.

Nice to have

• MBA, MS, or other relevant advanced degree.
• Pharmaceutical, biotechnology, healthcare, or other regulated-industry experience.
• Experience supporting U.S. commercial or marketing organizations.
• Oncology or hematology experience.
• Familiarity with pharmaceutical promotional review, MLR processes, data privacy, information security, and responsible-AI requirements.
• Experience with technologies such as generative AI platforms, Python, SQL, APIs, workflow-automation platforms, enterprise knowledge tools, or comparable solutions.
• Experience with retrieval-based AI solutions, structured evaluation methods, and source-grounded insight generation.
• Experience leading AI adoption, change-management, or capability-building programs.
• Experience managing an AI use-case portfolio and reporting value realization to senior leadership.
• Demonstrated success scaling a technology-enabled solution across multiple brands, functions, or user groups.