AI Operations Analyst

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):

• Bachelors 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 agreements.

Pay is based upon candidate experience and qualifications as well as market and business considerations.

Summary Pay Range:

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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