U

Senior Content Learning Architect, Data Science

Udacity
Full-time
On-site
Egypt
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Senior Content Learning Architect, Data Science

πŸ”Ή Company: Udacity

πŸ”Ή Location: Egypt

πŸ”Ή Job Type: Full-time

πŸ”Ή Category: Education, Data Science

πŸ”Ή Date Posted: April 22, 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: Remote OK

πŸš€ Job Overview

Key aspects of this role include:

  • Developing and improving learning journeys for data science students
  • Triage and resolution of urgent content issues
  • Collaboration with cross-functional teams to ensure content quality and student success
  • Analysis of student feedback to drive content improvements

ASSUMPTION: This role requires a balance of technical expertise and instructional design skills. The ideal candidate will have a strong background in data science and a passion for teaching.

πŸ“‹ Key Responsibilities

βœ… Tailor learning journeys based on desired learning outcomes

βœ… Develop assessments to gauge applicants’ readiness for admission to learning journeys

βœ… Triage and correct urgent content issues

βœ… Review and revise course content to ensure it satisfies Udacity quality standards and style guidelines

βœ… Anticipate and identify potential student drop-off points in program content

βœ… Analyze student and customer feedback and user-testing data, and prioritize revisions to improve content effectiveness and student outcomes

βœ… Review and approve content submissions from content contributor network; ensure content improvements deliver the target outcomes

ASSUMPTION: This role requires a high level of attention to detail, strong communication skills, and the ability to work effectively with diverse teams.

🎯 Required Qualifications

Education: Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, or a related discipline)

Experience: 5+ years in Data Analytics, Data Engineering, or a closely related field

Required Skills:

  • Extensive experience in data-related fields
  • Technical proficiency in Python, R, SQL, and data visualization tools
  • Familiarity with database technologies (e.g., MySQL, MongoDB) and data processing libraries/frameworks (e.g., Pandas, NumPy, Spark)
  • Basic knowledge of cloud computing and containerization (e.g., Docker, Kubernetes) to troubleshoot technical issues
  • Problem-solving skills and ability to work independently

Preferred Skills:

  • Familiarity with instructional design principles and curriculum creation
  • Experience selling learning solutions

ASSUMPTION: Candidates with a strong background in data science and a proven track record in instructional roles will be most successful in this position.

πŸ’° Compensation & Benefits

Salary Range: $120,000 - $160,000 USD per year (based on industry standards for a senior role in data science and education)

Benefits:

  • Flexible working hours
  • Paid time off
  • Comprehensive medical insurance coverage
  • Employee wellness resources and initiatives
  • Quarterly wellness day off
  • Personalized career development
  • Unlimited access to Udacity Nanodegrees

Working Hours: Full-time (40 hours per week) with flexible scheduling

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles. Actual compensation may vary based on factors such as experience and performance.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Udacity operates in the online education industry, focusing on digital technologies and data science. The market is competitive, with a strong emphasis on innovation and continuous improvement.

Company Size: Udacity is a mid-sized company with a flat organizational structure, emphasizing autonomy and collaboration.

Founded: Udacity was founded in 2012 and has since grown to become a leading provider of online learning platforms for digital technologies.

Company Description:

  • Udacity offers immersive online learning platforms, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing, and more.
  • The company aims to bridge the talent shortage and skills gaps during the digital transformation journey of its enterprise market clients.
  • Udacity fosters a fast-paced work environment with a strong emphasis on autonomy, collaboration, and delivering results.

Company Specialties:

  • Online learning platforms
  • Digital technologies
  • Data science
  • Corporate training
  • Talent transformation

Company Website: Udacity

ASSUMPTION: Udacity's focus on innovation and continuous improvement creates a dynamic work environment that requires adaptability and a growth mindset.

πŸ“Š Role Analysis

Career Level: This role is a senior-level position, requiring a high degree of expertise and experience in data science and instructional design.

Reporting Structure: The Senior Content Learning Architect reports directly to the Content Team Lead and collaborates with various cross-functional teams, including mentor operations, student services, sales, and solution architects.

Work Arrangement: This role offers flexible working hours and the opportunity to work remotely, with a focus on results and delivery.

Growth Opportunities:

  • Potential career progression into leadership or management roles within the Content Team or broader organization
  • Opportunities to develop expertise in emerging technologies and instructional design methodologies
  • Chance to make a significant impact on Udacity's learning platforms and student success

ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to develop both technically and professionally.

🌍 Location & Work Environment

Office Type: Udacity operates a hybrid work environment, with both remote and on-site work options available.

Office Location(s): Udacity has offices in various locations worldwide, including the United States, Europe, and Asia. However, this role can be performed remotely from Egypt.

Geographic Context:

  • Egypt has a growing tech industry, with a strong focus on emerging technologies and data science.
  • The country offers a competitive job market for data science professionals, with opportunities for career growth and development.
  • Egypt's time zone (EET, UTC+2) may require some flexibility in working hours to accommodate collaboration with global teams.

Work Schedule: Full-time (40 hours per week) with flexible scheduling to accommodate remote work and global collaboration.

ASSUMPTION: Working remotely from Egypt may require some adjustment to accommodate time zone differences and ensure effective collaboration with global teams.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with the hiring manager
  • Technical assessment or case study
  • Final interview with the Content Team Lead and other stakeholders

Key Assessment Areas:

  • Technical expertise in data science and related tools
  • Instructional design skills and ability to create engaging learning experiences
  • Problem-solving skills and ability to work independently
  • Communication and collaboration skills

Application Tips:

  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
  • Be prepared to discuss your approach to instructional design and content creation
  • Demonstrate your problem-solving skills and ability to work independently through your application materials and interview responses

ATS Keywords: Data Science, Instructional Design, Content Creation, Learning Architect, Data Analytics, Data Engineering, Python, R, SQL, Data Visualization, Cloud Computing, Containerization

ASSUMPTION: Udacity's application process is designed to assess both technical skills and cultural fit, with a strong emphasis on problem-solving and collaboration.

πŸ› οΈ Tools & Technologies

  • Python, R, SQL
  • Data visualization tools (e.g., Tableau, Power BI)
  • Database technologies (e.g., MySQL, MongoDB)
  • Data processing libraries/frameworks (e.g., Pandas, NumPy, Spark)
  • Cloud computing platforms (e.g., AWS, GCP, Azure)
  • Containerization tools (e.g., Docker, Kubernetes)
  • Instructional design tools (e.g., Articulate, Adobe Captivate)

ASSUMPTION: The specific tools and technologies required for this role may evolve over time, as Udacity continues to innovate and adapt its learning platforms.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Obsess over Outcomes
  • Take the Lead
  • Embrace Curiosity
  • Celebrate the Assist

Work Style:

  • Autonomous and self-driven
  • Collaborative and team-oriented
  • Adaptable and open to feedback
  • Results-focused and committed to continuous improvement

Self-Assessment Questions:

  • Do you have a strong passion for learning and teaching emerging technologies?
  • Are you comfortable working independently and taking the lead on projects?
  • Do you embrace feedback and continuously seek to improve your skills and knowledge?

ASSUMPTION: Udacity's culture values autonomy, collaboration, and a strong commitment to continuous improvement. Candidates who thrive in dynamic, fast-paced environments will be most successful in this role.

⚠️ Potential Challenges

  • Managing multiple priorities and deadlines in a fast-paced work environment
  • Balancing technical expertise with instructional design skills
  • Effectively collaborating with global teams across different time zones
  • Adapting to changes in Udacity's learning platforms and content requirements

ASSUMPTION: These challenges require strong problem-solving skills, adaptability, and a growth mindset to overcome.

πŸ“ˆ Similar Roles Comparison

  • Compared to other instructional design roles, this position requires a higher level of technical expertise in data science and related tools.
  • In the data science industry, this role offers a unique blend of technical and instructional design responsibilities, with a strong focus on student success and content quality.
  • Career progression in this role may lead to leadership or management positions within Udacity's Content Team or broader organization.

ASSUMPTION: This role offers a unique opportunity to leverage both technical expertise and instructional design skills to drive student success and content quality.

πŸ“ Sample Projects

  • Developing a new learning journey for a cutting-edge data science topic, such as MLOps or responsible AI
  • Analyzing student feedback to identify trends and opportunities for content improvement in an existing course
  • Collaborating with cross-functional teams to create engaging and effective assessments for a data science program

ASSUMPTION: These sample projects illustrate the diverse range of responsibilities and opportunities available in this role.

❓ Key Questions to Ask During Interview

  • Can you describe the most challenging content issue you've faced in the past, and how you approached it?
  • How does Udacity ensure the quality and consistency of its learning content across different courses and programs?
  • What opportunities are there for professional development and growth within the Content Team and Udacity as a whole?
  • How does Udacity support and collaborate with its global team members, particularly those working remotely?
  • What is the most rewarding aspect of working as a Senior Content Learning Architect at Udacity?

ASSUMPTION: These interview questions are designed to provide insight into the day-to-day responsibilities, work environment, and growth opportunities available in this role.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through the Udacity Careers page
  • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
  • Prepare for a phone or video screen with the hiring manager, focusing on your technical expertise and problem-solving skills
  • Complete a technical assessment or case study, demonstrating your ability to create engaging learning experiences
  • Prepare for a final interview with the Content Team Lead and other stakeholders, focusing on your cultural fit and alignment with Udacity's values
  • Follow up with the hiring manager one week after your final interview to express your continued interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.