July 9, 2026
Artificial Intelligence and Data Science have completely changed the way businesses function while making data-centric decision making processes a key feature for standing out in the market. With organisations across industries relying on AI-powered technologies, there is also a rising demand for professionals who are capable of understanding advanced technologies and business strategies.
Pursuing an online MBA in Data Science and AI enables learners with a unique combination of managerial expertise, analytical knowledge, and technical skills. Graduates pursuing this program can get trained in skills that are considered for high-impact roles in the present technology driven economy.
If you are aspiring to enrol for this degree at a renowned institution such as Chitkara University then below we have mentioned the top 10 high paying jobs after an online MBA in Data Science and Artificial Intelligence.
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Data Science Manager: The job of a Data Science Manager is bridging the gap between the technical team and business management stakeholders. These professionals are responsible for leading data scientists for building machine learning models and extract useful insights while also making sure that these projects can align well with the corporate goals and also deliver measurable return on investment.
Some of the key responsibilities of a Data Science Manager include strategic planning and impact measurement, stakeholder management, team leadership, and technical oversight. In India, the salary of a Data Science Manager is anywhere between INR 35 to 55 Lakhs per annum which is heavily dependent on work experience. The basic salary of a Data Science Manager is around INR 30 to 45 Lakhs per annum.
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Machine Learning Engineer: A Machine Learning Engineer is a professional who is responsible for bridging the gap between theoretical data science and software engineering. They are the professionals responsible for designing, building, and deploying self-learning predictive learning models, writing production code, and also maintaining scalable infrastructure for running the AI algorithms in the real-world applications.
In India, the salary of a Machine Learning Engineer is anywhere between INR 12 – 15 Lakhs per annum. That said, the compensation can vary depending on the professional experience, skill set, and location.
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Business Intelligence Director: A Business Intelligence Director is a professional who is responsible for leading an organisation’s data strategy. They are responsible for overseeing analytics, warehouse, and reporting for empowering data-centric decisions. These professionals are also responsible for managing data teams, establishing governance policies, and acting as a bridge between technical IT infrastructure and wider business objectives.
The salary of a Business Intelligence Director is anywhere between INR 35 – 50 Lakhs per annum, with the senior executives exceeding over INR 60 Lakhs as well. The total salary also includes performance bonuses and benefits.
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AI Strategy Consultant: An AI Strategy Consultant is responsible for bridging the gap between business goals and artificial intelligence technology. They are responsible for helping organisations find AI opportunities, design actionable implementation roadmaps, ensure that there is ethical deployment, and measure tangible return on investment instead of building the machine learning models completely.
An AI Strategy Consultant can earn an average basic salary of INR 20 to 25 Lakhs per annum based on their experience. The entry level roles start at INR 15 Lakhs per annum while the mid-level professionals can make around INR 18 – 26 Lakhs per annum. The senior strategists often exceed INR 35-40 Lakhs per annum.
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Analytics Solutions Architect: An Analytics Solutions Architect is responsible for bridging the business goals and taking care of technical implementation. They are responsible for designing the conceptual blueprints for data systems which helps organisations transform the raw data into useful actionable insights.
An Analytics Solutions Architect is also responsible for structuring the data pipelines, choosing the tech stacks, ensuring that there is security, and also scaling the analytics infrastructure. In India, the salary of an Analytics Solutions Architect is INR 25 – 35 Lakhs per annum. This salary depends on academic profile, professional experience, and location.
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AI Product Manager: An AI Product Manager bridging the gap between business goals, user needs, and complex machine learning and AI models. Their role involves defining the product vision, mapping out the data requirements, managing the model evaluation, and coordinating with cross-functional teams of Data Scientists and Engineers for deploying and scaling AI-driven features.
The average salary of an AI Product Manager is anywhere between INR 18 – 25 Lakhs per annum but it generally commands a premium as compared to traditional product managers. In cities such as Delhi, Mumbai, Bengaluru, and Pune, the salary also ranges from INR 30 – 50 Lakhs per annum.
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Data Science Team Lead: A Data Science Team Lead is responsible for bridging the gap between complex technical models and business goals. They are responsible for managing everyday operations of data professionals, aligning the data products with the company goals, mentor team members, and also guide the overall technical strategy.
In India, the salary of a Data Science Team Lead is anywhere between INR 25 – 35 Lakhs per annum. The comparison is dependent on job experience, and professionals who have over three to six years of experience also go on to earn as much as INR 30 Lakhs per annum while those with more than 10 years of experience also earn INR 40 – 50 Lakhs per annum.
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AI Ethics Consultant: An AI Ethics Consultant is responsible for working as a moral compass for organisations making sure that AI technologies are developed and deployed with complete responsibility. These professionals are responsible for bridging technical teams and policymakers for mitigating the risks such as algorithm bias, unintended societal consequences, and data privacy violations.
The starting salary of an AI Ethics Consultant is anywhere between INR 6 – 12 Lakhs per annum. As the professional keeps gaining more experience, the salary varies on the basis of experience, location, and industry. The medium level professionals earn INR 20 – 25 Lakhs per annum and the senior professionals earn as much as INR 40 – 50 Lakhs per annum.
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Data Governance Specialist: The job role of a Data Governance Specialist is to safeguard and optimise the enterprise data assets by developing the governance frameworks that make sure that data quality, security, and regulatory compliance is there.
These professionals are responsible for ensuring that IT, business units, and legal teams can establish the data management policies and foster a data-driven culture. The salary of a Data Governance Specialist is INR 16 – 30 Lakhs per annum. This depends on professional experience, location, and the firm that is employing. The entry level roles start around INR 6 Lakhs while the experienced professionals can earn as much as INR 40 Lakhs per annum.
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Chief Analytics Officer: A Chief Analytics Officer is a C-suite executive professional who is responsible for leading an organisation’s data analytics strategy. The primary goal of these professionals is to turn the raw data into actionable insights for driving business decisions, optimising operations, and gaining competitive advantage.
In India, a Chief Analytics Officer earns an average salary of INR 45 Lakhs to as much as 1 Crore. This is dependent on experience, company scale, and the location. The candidates who are highly experienced, mostly more than 12 years old, also command a base package of more than INR 1 Crore.
Summing It Up:
The future of business belongs to organisations that can use data and AI. An online MBA in Data Science and AI in knowledge partnership with EY from Chitkara University prepares professionals to lead the transformation by combining analytical expertise with strategic business leadership.
Regardless of whether your goal is to become an Analytics Director, Data Science Manager, AI Product Manager, or a Chief Data Officer, a specialized MBA can open the doors to rewarding careers with a good salary potential with long-term growth. As AI continues to change industries worldwide, professionals with the ability to translate data into business value will stay among the most sought-after leaders in the job market.
Frequently Asked Questions:
1. Is an online MBA in Data Science and Artificial Intelligence considered worth it?
Yes, an online MBA in Data Science and AI pursued from a renowned institution such as Chitkara University is a combination of business management and AI expertise which makes these professionals eligible for leadership roles in high-growth industries.
2. What is the average salary of a professional after an online MBA in Data Science and AI?
The average salary after completing an online MBA in Data Science and AI depends on professional experience, job role, and organisation. The salary ranges from INR 15 to 20 Lakhs per annum for entry level managerial positions to as much as INR 1 crore annually for the senior executive roles.
3. Can candidates who are from non-technical backgrounds also pursue an online MBA in Data Science and AI?
Yes, the programs are designed for learners from a wide range of academic backgrounds and include foundational modules in Data Analytics and AI before they advance to specialised topics.
4. Which industries employ the graduates of this online MBA program?
Almost all industries ranging from healthcare, banking, financial services, consulting, fintech, e-commerce, manufacturing, technology, and telecommunications employ the graduates of this online MBA program.
5. Which skills should I develop along with this MBA?
The knowledge of machine learning, Python, business intelligence tools, cloud computing, communication, strategic decision-making, leadership, and SQL can improve career prospects.
6. Can working professionals pursue this program?
Yes, the program is designed to offer flexibility to students which allows working professionals to upskill without taking any break.
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