Principal Application Delivery Consultant Salary in 2024

Salary details

The average Principal Application Delivery Consultant salary lies between USD 123,000 and USD 242,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Principal Application Delivery Consultant roles

The three most common job tag items assiciated with Principal Application Delivery Consultant job listings are Python, JavaScript and MongoDB. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 35 jobs JavaScript | 35 jobs MongoDB | 35 jobs SQL | 35 jobs Consulting | 35 jobs Architecture | 35 jobs Agile | 35 jobs Pipelines | 35 jobs Git | 35 jobs OpenAI | 35 jobs Microservices | 35 jobs APIs | 35 jobs Node.js | 35 jobs CI/CD | 35 jobs RDBMS | 35 jobs Travel | 35 jobs GPT | 35 jobs LLMs | 35 jobs Java | 35 jobs Generative AI | 35 jobs

Top 20 Job Perks/Benefits for Principal Application Delivery Consultant roles

The three most common job benefits and perks assiciated with Principal Application Delivery Consultant job listings are Parental leave, Career development and Salary bonus. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Parental leave | 35 jobs Career development | 35 jobs Salary bonus | 35 jobs Fertility benefits | 35 jobs Equity / stock options | 28 jobs Flex hours | 28 jobs Flex vacation | 28 jobs Health care | 28 jobs Insurance | 28 jobs Signing bonus | 26 jobs

Salary Composition

The salary for a Principal Application Delivery Consultant in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5% to 15%.

Regional differences play a significant role in salary composition. For instance, positions in tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options compared to other regions. Industry also impacts salary composition; tech companies might offer more in stock options, while financial firms might provide higher cash bonuses. Company size can influence the structure as well, with larger companies often providing more comprehensive bonus and stock option plans.

Increasing Salary from This Position

To increase your salary further from the position of a Principal Application Delivery Consultant, consider the following strategies:

• Specialization: Develop expertise in a niche area within AI/ML/Data Science that is in high demand, such as deep learning, natural language processing, or AI ethics.
• Leadership Roles: Transition into leadership or managerial roles, such as a Director of AI/ML or Chief Data Officer, which typically offer higher compensation.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to enhance your skill set and increase your market value.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when considering new job offers.

Educational Requirements

Most Principal Application Delivery Consultant roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for positions involving complex problem-solving and advanced research. Advanced degrees can provide a deeper understanding of machine learning algorithms, statistical analysis, and data modeling, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Scientist (CDS)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, a Principal Application Delivery Consultant is expected to have at least 8 to 10 years of experience in the field of AI/ML/Data Science. This experience should include a proven track record of successful project delivery, leadership in cross-functional teams, and expertise in designing and implementing machine learning models. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous, as it provides domain-specific insights that are valuable in application delivery.

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