Senior Instructor - Business Systems Analytics and AI

This is a remote position.

Job Purpose

Do you get excited when you break down complex concepts, teach and empower students to funnel this knowledge to achieve their career goals? Then this is for you! Empowering students with the knowledge and skills necessary to succeed in Business Systems Analytics, Data Analytics, and AI, while addressing gaps in the job market. The Senior Instructor will deliver cutting-edge, hands-on training in business analysis, AI product development, advanced process mapping, and data visualization, ensuring students are future-proofed for lucrative tech careers.

About SkillHat
SkillHat bridges the gap between tech talent and industry needs, providing expert training and career coaching to launch motivated professionals into dream tech careers. With over 2,000 successful alumni, we are committed to empowering individuals to thrive in the ever-evolving tech landscape.

Key Responsibilities

1. Design and deliver engaging, hands-on virtual classes on topics such as:
   

• Business Analysis: Process mapping, Agile software development, Business case development
  

• Data analytics tools: Excel, SQL, Tableau, Power BI.
  

• AI product development and AI development lifecycle.
  

• Business intelligence, API integration, and automation tools like Zapier, n8n, and ChatGPT.
  

• Developing AI agents with LangChain, GPT APIs, and custom workflows (nice to have)
  

• Regularly update the curriculum to stay aligned with evolving industry standards and student needs.
  

• Deliver classes on Mondays (6:00–8:30 PM EST) and Saturdays (10:00 AM–12:30 PM EST).
  

2. Partner with leadership to evolve the current curriculum and identify opportunities for new programs.
   

3. Drive the development of innovative training strategies that maximize student engagement and learning outcomes.
   

4. Collaborate with the CEO and Director of Product Innovation to align instructional goals with company objectives.
   

5. Engage with students, alumni, and industry experts to ensure programs are aligned with market demands.
   

Requirements

Qualifications

1. Professional Experience
   

• 7–8 years of experience in business systems analysis and product management, including delivering software solutions.
  

• Deep expertise in data analytics, AI product development, and Agile methodologies.
  

• Strong knowledge of end-to-end software development lifecycle (SDLC) and AI lifecycle.
  

• 3–5 years of experience teaching business systems analysis, data analytics, or Agile methodologies in bootcamps, colleges, or universities (proof required).
  

• Certified Business Analysis Professional (CBAP) certification (required).
  

• University degree in IT, Business, Management, Data, or a related field (preferred).
  

• Expertise in tools such as Excel, SQL, Tableau, Power BI, Zapier, n8n, and ChatGPT.
  

• Strong technical knowledge of APIs, automation workflows, and AI/ML concepts.
  

• Exceptional ability to formulate, communicate, and deliver complex concepts in a pragmatic, simple and engaging manner.
  

• Strong mentorship skills with demonstrated success in coaching students.
  

• Collaborative mindset with a passion for driving student success.
  

Benefits

Who is the Ideal Candidate?

The ideal candidate is a passionate educator and experienced technologist who thrives on seeing students succeed in their careers. You possess a deep understanding of business systems analytics, AI, and Agile frameworks, and are motivated to develop future tech professionals while championing diversity and reducing the racial and gender wealth gap. This role offers leadership opportunities to design and deliver new programs, making a lasting impact on the tech workforce. Why Join Us?

• Empower Future Tech Professionals: Shape the careers of aspiring business analysts, data analysts, and AI specialists.
  

• Leadership Opportunities: Drive innovation by designing and leading new programs.
  

• Make an Impact: Be part of a mission-driven organization committed to reducing the racial and gender wealth gap in tech.
  

Additional Details

• Work Hours: Mondays (6:00–8:30 PM EST) and Saturdays (10:00 AM–12:30 PM EST).
  

• Location: Remote (North America only).
  

• Compensation: Hourly pay.
  

• Note: Applicants outside the US and Canada will not be considered.