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Rebuilding the corporate ladder at accounting firms

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I was sitting down at Bryant Park in New York City, having a strawberry daiquiri and eating fried calamari at noon on a Friday in the middle of the summer with my fellow public accounting interns. Life was good.

You don’t even mind being dressed up in business casual attire when you’re getting paid $25 per hour to be there (internship programs usually let out early after Friday morning team-building sessions), especially while all your friends were working their menial summer jobs. Honestly, I was proud to be part of the corporate America grind, on the train with other professionals for the morning commute.

My identity very much so embraced the essence of a modern day yuppie (Young Urban Professional) for those not familiar with the term that boomed in the 1980s. I’d even started wearing argyle fashion, got custom dress shirts with my initials embroidered, and became a coffee enthusiast.

I recall thinking, “I’m going to be on the fast path and make partner in 10 years,” whilst having never done any real work beyond rolling forward workpapers, highlighting unreconciled cells on spreadsheets and gathering team lunch orders. The dream felt very real, and while 10 years is a pipedream at any national size firm and larger, I was convinced that I’d be quickly climbing the ladder in front of me.

But then came my actual first real engagement … where if I didn’t know something, I had to figure it out, not just highlight it and pass it on. 

I did eventually get the hang of it, but not before my expectations of my career path shifted.

The traditional ladder sales pitch

Almost every one of us who came through the major public accounting firm “farm system” has heard it: Every five years or so, you can see your salary double. Associate 1 and 2. Senior 1, 2 and 3. Manager, experienced manager, senior manager, partner, MD or principal. The corporate ladder was very clear and transparent, which is probably the reason why so many of us went into accounting.

We’re naturally risk averse — this isn’t a secret. We like predictability, and nothing is more predictable than the past (we leave the financial forecasting to the more risky budgeting folks). It’s not just in knowing the black and white technical details of accounting, but it’s in our careers as well. We want to know what comes next.

That’s why public accounting was always so appealing — you know if you just dig in and grind it out, you’ll get a predictable raise and follow a steady promotion path.

With the injection of private equity into the profession, though, it’s not shocking that there may be a revisiting of how this ladder works.

The three employee types

Well before PE got on the scene, I’d begun preaching one of the core elements to my thought leadership paradigm: the three types of employees. 

The three types of employees are the technician, manager and leader (sometimes referred to as the entrepreneur). 

The technician is the person who is really good at doing the core work of the operation — think of your best senior associate on an audit or tax engagement. They minimize review notes, can be relied on to get the engagement done cleanly, and are always in the top percentile of utilization rates.

The manager is the person whom employees can turn to when they’re stressed. They are specially skilled in providing a calm and collected demeanor to the room, and create a sense of confidence that “we can do this.” Simply put, they are really good at understanding and managing people, keeping the engagement rolling, and reporting on how things are going.

The leader is the visionary of the group, who finds a way to get innovative with problem-solving. They think creatively about work, how to get it done and why it needs to get done. Oftentimes they are building the brand, doing business development, fostering partnerships and alliances, and designing strategic initiative campaigns. 

This theory resonated with me, so I adopted, iterated and refined it — especially because I had firsthand experience with the alternative. 

As I mentioned earlier, I originally was set on making partner, and I had many leaders tell me I would make a great one. Anyone who knows me gets my outgoing and charismatic personality type, which is considered a bit rare in the accounting world. This is exactly what makes for a successful partner, because you’re selling and doing business development.

My problem, however, was that I didn’t have what it took to handle the 10+ years of technical grind, essentially keeping my personality in a box so I could focus on the work tasks at hand, only to then finally be able to whip it out a decade later. 

It got me thinking about the corporate ladder and promotion structure, which I later realized applies to all professions, not just accounting. 

Here’s how the old structure works:

The best technicians (associates) get promoted to manager. The best managers get promoted to leadership (partners). The best leaders steer the business.

The problem? Being the best in one area doesn’t necessarily mean you’re going to be the best in the next area … in fact, you could be worse.

Getting innovative with it

So now that you’ve got the context, the natural query is: so what do we change to?

Well, I was told I’d make for a great (leader) partner, but my problem was that in order to get there, I’d first have to prove I was the best technician (audit senior) and then the best manager. These two skill areas were not as much in my wheelhouse as my innovative and creative talents — so I’d either struggle and stress my way through to get to that position, or there’d need to be a different ladder to climb.

What if the alternative ladder offered paths that lent themselves to the person’s strong suite? 

Right now, everyone wants to take the promotion to manager, because it means more money and status … but being a manager is an entirely different skill set! That’s why you have really bad managers, who are in that position because they were the best technician (now they’re just annoying micromanagers).

The best technician who is not good at managing people shouldn’t be a manager, but they wouldn’t turn down more money or a promotion, so what do you do? 

If you took away the incentive but instead incentivized people to pick a path that leans into what they’re good at, how many technicians would choose to just keep becoming more efficient and effective technical workers? What if there are employees who are excellent at managing people, but not great at doing the actual work, who should just be overseeing the engagements? What if there are individuals who struggle to tend to report-to needs, but are brilliantly innovative and can design comprehensive business development plans?

All of these employee types need each other, and all are equally important, so why not pay them all equally?

If you just want to lock in and knock out audits or tax work and not think about dealing with people or finding new business, you could climb a technician ladder and eventually be the firm’s resident expert.

If you find yourself struggling to get the work done but are well liked and a person others can turn to for support, why not be on a manager path where you keep the culture, ensure project timeliness, and keep the ship steady?

If you’re always thinking about ways to grow the business, improve processes and get creative, how about an entrepreneurial path that puts you in an environment where you can be strategic and innovative for the good of the firm? 

If we remove the stigma that one type of employee needs to be paid more than the other, we can start to design this new system. People won’t have to be torn between choosing what they’re good at and what is advantageous to their career.

A calculated move

Right now, it’s a tossup of business success, hoping that someone who excels at one employee type tier will be good at the next one. If you’re lucky, you end up with a great leader — but private equity and the world are starting to rely less on luck and more on accurate predicting.

You might miss out on some of the best managers and partners if your only or most heavily weighed promotion metric is technical skill. 

If I’m an investor, I want my best technicians working, my best people and project managers managing, and my most creative and innovative minds leading the business growth — and I’d be willing to pay these all the same.

Everyone is happy, everyone is doing what they’re good at, and everyone is getting paid for their contribution. It’s a win all around.

I’d argue that this type of ladder provides a better, more calculated path to business success and career success for each individual and the company than the former method, so maybe it’s worth a serious conversation.

One thing is for certain: if I ever am running my own business or firm, I’ll be implementing this approach.

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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