From Engineering to Enterprise Finance: How a Technical Foundation Shapes Strategic Decision-Making
The path from a degree in Mechanical Engineering to VP and Global Head of M&A at one of the world’s largest agricultural processing companies is not a conventional one. It is, however, a coherent one — built on a specific set of analytical capabilities that engineering training develops with a rigor and precision that few other academic disciplines replicate. Anubhav Mittal’s undergraduate education at IIT Kanpur, where he earned a Bachelor of Technology in Mechanical Engineering and graduated in the top 5% of his class, established the quantitative and systems-level thinking that would later define his approach to financial modeling, investment analysis, and enterprise capital governance at Kellogg Company and Archer Daniels Midland.
What Engineering Training Actually Develops
IIT Kanpur ranks among the most competitive engineering institutions in the world. Entry requires performance in the upper percentiles of one of the most demanding university entrance examinations anywhere. The curriculum, once enrolled, demands sustained command of mathematics, physics, systems analysis, and quantitative problem-solving at a level that shapes how graduates think about complex problems for the rest of their careers.
The specific capabilities that engineering training develops are directly applicable to the financial analytical work that defines corporate development at the highest levels. Quantitative modeling — the ability to build precise representations of complex systems, identify the variables that drive outcomes, and understand how changes in one input propagate through a system — is foundational to both mechanical engineering and financial analysis. Structural problem decomposition — breaking a complex, interconnected problem into its component parts, solving each component precisely, and reassembling the solution — is the method that both disciplines require.
In financial modeling for M&A, these capabilities translate directly into the quality of the analytical work. A precise financial model is, in structural terms, a system: revenues and costs interact with working capital assumptions to produce cash flows, which are discounted at a rate that reflects the risk of the investment, to produce a valuation that either justifies or fails to justify a given price. Building that model with the rigor it requires — understanding which inputs are load-bearing, how sensitive the output is to changes in key assumptions, and where the model’s limitations lie — demands exactly the quantitative precision that engineering training instills.
The STEM-to-Finance Transition at ADM and Kellogg
Mittal’s transition from engineering into finance was mediated by two subsequent layers of analytical training. The Harvard MBA, with its concentration in Finance and Strategy, formalized the financial frameworks that his engineering foundation would support — valuation methodologies, capital structure theory, corporate strategy frameworks. The CFA and CMA designations added a further layer of professional certification in financial analysis and management accounting, the applied disciplines that govern how investment decisions are built and how business unit financial performance is measured.
That credential stack — IIT Kanpur engineering foundation, Harvard MBA, CFA, CMA — is not redundant. Each layer adds a distinct capability. The engineering training provides quantitative precision and systems-level thinking. The MBA provides the strategic and organizational frameworks within which financial decisions are made. The CFA provides depth in asset valuation and portfolio analysis that is directly applied in M&A screening and investment committee work. The CMA provides the management accounting depth that governs how business unit CFOs measure and report financial performance.
At Kellogg, where Mittal held corporate development and strategy roles before joining ADM, this layered capability set was applied in an operating context for the first time — translating analytical precision into investment decisions with real capital commitments and real performance accountability attached. At ADM’s Nutrition Business Unit, where his CFO mandate extended across an approximately $8 billion global business with more than 14,000 employees, the same precision was applied at a significantly larger scale.
Quantitative Discipline in Capital Allocation Governance
The most visible expression of Mittal’s technical foundation in his current role at ADM is the quality of the capital allocation governance function he leads. Enterprise capital allocation governance, at a company of ADM’s complexity, requires a systematic framework for comparing investment opportunities across different business segments, geographies, and risk profiles — and producing recommendations that are analytically defensible to a board-level audience.
That comparative analysis demands exactly the quantitative rigor that engineering training develops. Comparing the return profile of a proposed acquisition in specialty nutrition ingredients against an organic capital expenditure in commodity processing requires consistent assumptions about discount rates, risk premiums, and terminal value methodology — the kind of model-level precision that separates analytically rigorous capital governance from judgment-based allocation.
Mittal’s role overseeing this function at ADM, combined with his mandate as Global Head of M&A, means that the investment cases his team produces and the governance framework that evaluates them are designed by the same analytical discipline. That coherence — between the rigor of the investment case and the rigor of the governance system that reviews it — is the structural benefit of a leadership background that began with a world-class engineering education.
Why the Technical Foundation Compounds Over Time
The value of an engineering foundation in a senior finance leadership role does not diminish as career seniority increases. It compounds. As the decisions become larger and more consequential — moving from individual transaction analysis to enterprise capital policy — the ability to hold the underlying model logic in view while communicating at a strategic level becomes increasingly valuable. The executive who can move fluidly between the precision of the quantitative analysis and the strategic framing of the board recommendation is the executive who can lead a high-performing corporate development function.
Mittal’s career trajectory — IIT Kanpur to Booz & Company to Kellogg to ADM, with credentials accumulated at each stage — reflects exactly this compounding dynamic. The technical foundation established at IIT Kanpur did not become less relevant as his career progressed. It became the substrate on which every subsequent analytical capability was built, and it remains visible in the precision and governance discipline that characterize the M&A and capital allocation function he leads at ADM today.
About Anubhav Mittal
Anubhav Mittal is a senior finance, corporate development, and value-creation executive with more than two decades of experience leading strategy, M&A, capital allocation, restructuring, and business transformation across global public companies. He currently serves as VP and Global Head of Business Development and M&A at Archer Daniels Midland (ADM). Previously, he held CFO-level and senior finance leadership roles within ADM and at Kellogg Company, and began his career at Booz & Company. He earned an MBA from Harvard Business School with a concentration in Finance and Strategy, and a Bachelor of Technology in Mechanical Engineering from IIT Kanpur, graduating in the top 5% of his class. He holds the CFA and CMA designations and is based in Chicago, Illinois.
