AI Operations Analyst

AI Operations Analyst

Company:

The Boeing Company

Boing Global Services Training Solutions is seeking an AI Operations Analyst in Seattle, WA.  This is an onsite position.

The AI Operations Analyst identifies, validates, pilots, and operationalizes AI use cases across CTS to improve customer and employee experience, efficiency, and add new product features. This role combines business analysis, data fluency, AI/ML literacy, and program execution to move high-value opportunities from idea to production while ensuring measurable impact, governance, and cross-functional adoption.

Position Responsibilities:

• Discover and prioritize AI use cases
  • Conduct stakeholder interviews, process mapping, and data discovery across CTS teams to surface pain points and opportunity areas.
  • Evaluate and rank use cases by expected impact, feasibility, data readiness, and alignment with strategic goals.
• Validate and prototype
  • Define success criteria, KPIs, and minimal viable experiments for candidate use cases.
  • Partner with data scientists, engineers, and product managers to run experiments, build prototypes or proof-of-concepts, and measure results.
• Operationalize AI solutions
  • Translate prototypes into production-ready solutions in collaboration with engineering, MLOps, and IT.
  • Define monitoring, model performance metrics, retraining cadence, and incident response for deployed models.
• Cross-functional enablement and change management
  • Drive adoption by creating user workflows, documentation, training, and decision guides for business users.
  • Communicate outcomes, ROI, and lessons learned to leadership and stakeholders.
• Governance, compliance, and risk management
  • Ensure AI projects follow internal policies for privacy, security, and responsible AI; incorporate bias testing and explainability checks into pipelines.
  • Maintain artifact libraries (requirements, data lineage, model cards) for auditability.
• Continuous improvement
  • Track model and business metrics post-deployment and run improvement cycles.
  • Surface new opportunities from operational telemetry and user feedback.

Basic Qualifications (Required Skills/Experience):

• Bachelor’s degree in computer science, Engineering, Data Science, Business, or related field.
• 5+ years in data science/AI roles with at least 2 years in strategy, product, or transformation roles; proven track record delivering AI projects to production with measurable business impact.
• AI/ML understanding: working knowledge of model types, training/evaluation concepts, and common pitfalls (overfitting, bias, data leakage)
• Experience with cloud platforms (AWS, Azure, GCP), model-serving frameworks, and data platforms.
• Business analysis and stakeholder management: ability to map processes, quantify pain, and align technical effort with business value
• Data literacy: experience with data exploration, dataset assessment, and familiarity with SQL and basic statistics
• Measurement & experimentation: ability to design A/B tests, define KPIs, and interpret experiment results

Preferred Qualifications (Desired Skills/Experience):  

• Hands-on experience with prototyping tools (Python, Jupyter, or low-code ML platforms)
• Familiarity with MLOps frameworks and production monitoring (e.g., MLflow, Seldon, Airflow, Prometheus)
• Hands-on experience integrating LLMs, embeddings, vector databases, or building RAG solutions.
• Track record of partnering with commercial teams and supporting product launches and adoption.

Drug Free Workplace: 

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. 

 Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. 

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agree