AI & Intelligent Systems Enablement Manager

Pfizer

Confirmed live today High trust
Closes in 5 days Hybrid

Quick summary

Work type
Hybrid
Location
Sanford, NC
Salary
$99,200–$165,400 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Sep 19, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $132k
$81k most similar roles pay here $268k

This role pays less than 97% of similar roles. Most pay $170,000–$249,490 — the shaded band above. At the midpoint, this role pays about $132k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 32 open roles on FindRole.

Listed pay typically runs $106,000–$176,600 across 32 roles with salary data.

Most-posted roles

View all roles at Pfizer

At a glance

TL;DR · AI & Intelligent Systems Enablement Manager

The AI & Intelligent Systems Enablement Manager serves as a trusted advisor on digital maturity, identifying organizational capabilities to modernize workflows and responsibly adopt emerging technologies. This role involves designing and delivering AI-enabled solutions, including retrieval-augmented generation and generative AI use cases, while assessing data quality for reliable outcomes. The manager identifies opportunities to simplify processes, develops roadmaps for manufacturing operations, and provides training to build site-wide digital fluency. Key technical requirements include experience with large language models, orchestration frameworks like LangChain or OpenAI APIs, vector databases, and prompt engineering. Candidates must be proficient in SQL and familiar with low-code platforms such as Power BI and Power Automate. The role addresses the challenge of integrating automated decision-making and analytics into manufacturing environments while ensuring compliance with safety guardrails against hallucination and bias.

What you'll do

  • Design and develop AI-enabled solutions including RAG systems and generative AI use cases to improve operational performance.
  • Assess data quality and availability to ensure readiness for reliable AI and digital applications.
  • Identify and implement opportunities to simplify, digitize, and automate manual workflows.
  • Advise site leadership on AI roadmaps, technology investments, and the integration of emerging technologies into manufacturing operations.
  • Guide project scoping, feasibility assessments, and technology selection while ensuring compliance with corporate governance.
  • Deliver training and awareness sessions to build digital literacy and AI capabilities across the workforce.
  • Ensure all AI solutions comply with security, validation, and responsible-AI requirements regarding bias and hallucinations.
  • Monitor industry trends and evaluate new tools for potential site adoption and technical integration.

What we're looking for

  • Must have a Bachelor's degree with 4 years experience, Master's with 2 years, PhD, or Associate's with 8 years, or High School Diploma with 10 years experience.
  • Experience in AI/ML solution development, data engineering, or digital solutions delivery is required.
  • Must have hands-on experience with large language models and orchestration frameworks like LangChain or OpenAI APIs for building agentic workflows.
  • Required experience designing tool-augmented agents including function calling, RAG, memory systems, and planning loops.
  • Must possess working knowledge of vector databases, embeddings, retrieval systems, and prompt engineering techniques for production-grade AI.
  • Experience with low-code/no-code platforms such as Power BI and Power Automate is required.
  • Proficiency in SQL or equivalent tools for querying and profiling data from source systems is required.
  • Work authorization in the United States.

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