Confused about career path after MBA: What should I do next?

Ans: Your career path will depend on the kind of job you get. Look out for job. Wherever you get a good job which is to your liking you can make a career in that. While searching for a job keep your options open for good opportunities.

Ans: Can you give more details about your college, branch of engg, scores, year of graduation, what is it that you aspire to do.

Ans: Look out for job and see what kind of openings are available. Can consult a few placement agencies. Leave your service only if you have a good job at hand else it should not happen that you do not have anything at hand at the end of the day. Can pursue Executive MBA. Can check ISB has a course for people with 15+ years work ex.

Ans: An MBA specialization in Operations + Data Science builds directly on your son’s six years in AI & DS by combining analytics leadership with process optimization—skills vital to e-commerce giants, manufacturing leaders, and tech firms. India’s demand for data-savvy managers is surging: operations roles in supply-chain, logistics, vendor management, and reverse logistics now account for a substantial share of MBA placements, with top schools reporting 70–80 percent hiring in these domains. Meanwhile, Data Science MBAs are projected to face 36 percent employment growth through 2033, stepping into roles such as Chief Data Officer, Analytics Manager, and Business Intelligence lead. These positions leverage his technical acumen and drive digital transformation initiatives across industries. Conversely, an MBA in Finance unlocks paths into corporate finance, investment banking, risk management, and global asset management, where specialists command critical roles in capital allocation and strategic decision-making, with business-school placement rates of 75–85 percent in finance streams. Finance offers global mobility and high-visibility leadership tracks (e.g., CFO, Treasury Head), but it demands comfort with regulatory environments, capital markets, and financial modelling. Given his AI background, Operations + DS enables him to blend domain expertise and managerial skills, leading cross-functional teams and data-driven strategy execution, while Finance would require building deep domain knowledge from the ground up.

Recommendation: Leveraging his AI & DS experience, pursuing the Operations + Data Science specialization will most effectively stabilize and advance his career by aligning technical leadership with high-growth operations roles, whereas Finance suits those seeking traditional capital-markets trajectories. All the BEST for a Prosperous Future!

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