AI & Intelligent Systems Enablement Manager
pfizer · United States - North Carolina - Sanford ·
- Employment
- Full time
- Category
- Management
- Experience
- 0+ years
pfizer · United States - North Carolina - Sanford ·
The AI & Intelligent Systems Enablement Manager serves as the site's trusted advisor on AI and digital maturity, identifying the organizational capabilities required to modernize how work gets done and to responsibly adopt emerging technologies.
This role leads the identification, design, and delivery of AI-enabled digital solutions that improve operational performance across the site. Working closely with business stakeholders, the Manager determines where digital decision-making, analytics, automation, or AI create meaningful, sustainable value — and builds it.
In this role, you will:
AI Solution Development
Design and develop AI-enabled solutions that address approved business needs, including retrieval-augmented generation (RAG) solutions and generative AI use cases. Integrate AI into existing digital products where it measurably improves business value.
Data Readiness
Assess data availability and quality relevant to digital or AI applications. Work with data owners to close gaps needed for reliable AI outcomes.
Digital Process Improvement
Identify opportunities to simplify and digitize workflows. Support technology-enabled process improvements alongside CI Specialists and Improvers, and recommend and implement continuous-improvement initiatives.
Strategy & AI Readiness
Advise site leadership on AI-appropriate applications. Develop roadmaps that integrate emerging technologies into manufacturing operations, and recommend investments that strengthen AI and long-term digital performance.
Site Consultation & Project Intake
Partner with business functions to identify digital improvement needs. Guide project scoping, feasibility assessment, and technology selection, and ensure initiatives follow the site's standard project intake and governance process.
Site Enablement & Training
Deliver awareness sessions and training that build digital and AI capability across colleagues. Support upskilling initiatives aligned with the site's Digital Workforce framework.
AI Governance & Responsible Adoption
Ensure all solutions comply with corporate governance, security, validation, and responsible-AI requirements, including guardrails against hallucination and bias. Promote appropriate use of AI across the site and document governance decisions.
Technology Leadership
Monitor industry trends in emerging AI technologies and platform developments. Evaluate new tools for potential site adoption, share best practices with Digital Engineering and site leadership, and maintain awareness of evolving regulatory and governance expectations.
Increased operational visibility through digital tools
Improved decision support through AI-powered guidance
Reduced manual effort through workflow digitization
Increased digital maturity site-wide
AI solutions delivered with measurable, tracked business value
Increased colleague digital and AI fluency
Applicant must have a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field with at least 4 years of experience OR Master’s degree with more than 2 years of experience, OR a PhD with 0 years of experience OR High School Diploma (or Equivalent) and 10 years of relevant experience OR an Associate’s degree with 8 years of experience.
Experience in AI/ML solution development, data engineering, or digital solutions delivery
Hands-on experience with large language models and orchestration frameworks (e.g., LangChain, OpenAI APIs, or similar) for building agentic workflows
Experience designing tool-augmented agents — function calling, retrieval-augmented generation, memory systems, and planning/execution loops — rather than single-shot prompts
Working knowledge of vector databases, embeddings, and retrieval systems to support accurate, scalable knowledge retrieval
Experience applying prompt engineering, evaluation, and guardrail techniques (e.g., hallucination mitigation, output validation) to production-grade AI systems
Experience with low-code/no-code platforms such as Power BI and Power Automate
Demonstrated experience assessing data quality and readiness (completeness, accuracy, consistency, timeliness) for analytics or AI use cases
Proficiency in SQL or equivalent tools for querying and profiling data directly from source systems
Understanding of the differing data-quality requirements across AI approaches (e.g., retrieval-based, predictive, generative)
Familiarity with site operational systems (e.g., LIMS, SAP, EAMS, quality management systems)
Strong ability to translate technical capability into business value for non-technical stakeholders
Comfort operating across both strategic advisory work and hands-on technical delivery
Experience in pharmaceutical, biotech, or other regulated manufacturing environments (GxP, CSV)
Exposure to AI governance or responsible-AI frameworks
Experience training or upskilling colleagues on new digital tools
Awareness of production AI system considerations such as latency, cost efficiency, and observability
Last day to apply: September 18th, 2026
Work Location Assignment: Hybrid
Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

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