Original Coverage & Source Attribution: www.the-star.co.ke
Ann Kinyanjui, Finance Manager at Amazon
From the disciplined world of Kenyan accounting to the high-speed, data-rich corridors of Amazon in Seattle, Ann Kinyanjui’s
career reflects a striking evolution in modern finance.
A Certified Public Accountant and Strathmore
University graduate, Kinyanjui began her career grounded in accounting,
financial controls and reporting.
An MBA from Cornell University’s Johnson
Graduate School of Management later broadened her strategic and global business
perspective.
Today, as a Finance manager at Amazon, she
works at the intersection of financial strategy, technology and process
automation.
Her journey offers a window into how the
finance profession is changing as businesses embrace data, automation and
artificial intelligence.
In this interview, Kinyanjui discusses the
lessons from Kenya that continue to shape her work, the difference between
finance at a mid-sized company and a global technology giant, and why young
African professionals must learn to work alongside AI rather than compete with
it.
You trained as a CPA-K, studied at Strathmore
and later Cornell before joining Amazon. What was the turning point that moved
you from traditional accounting into global corporate finance?
I would not describe it as one single turning
point. It was an evolution in how I understood the role of finance.
I began with a strong accounting foundation.
Studying at Strathmore University and completing the CPA-K qualification taught
me discipline, financial integrity and the importance of strong controls.
As my career progressed, particularly during my
time at Hallmark Advertising & Marketing, my responsibilities expanded
beyond accounting and reporting.
I became involved in budgeting, forecasting,
evaluating business opportunities and helping leadership decide where to invest
resources.
By the time I became Head of Finance, I
realised that what I enjoyed most was not simply explaining what had already
happened. I wanted to use financial information to help determine what the
business should do next.
That influenced my decision to pursue an MBA at
Cornell. I wanted broader exposure to strategy, leadership and global business.
How did your Kenyan education prepare you for
the pace and scale of finance at a company such as Amazon?
My Kenyan education gave me a very strong
technical foundation. Accounting at Strathmore and the CPA-K qualification
provided grounding in accounting, financial analysis, taxation and business
fundamentals.
What changed when I moved into a global
environment was the scale and complexity of the decisions. At a company such as
Amazon, finance operates alongside enormous volumes of data, multiple business
inputs and decisions that can have implications across markets.
Cornell helped bridge that transition. My MBA
broadened how I approached problems, particularly through global case studies.
I also participated in a Corporate Finance immersion where we worked on
real-world business challenges for organisations in the United States.
That experience exposed me to solving complex
problems in a global business environment and helped prepare me for Amazon. I
was no longer looking only at whether the numbers were correct.
But I still draw on my Kenyan foundation
constantly. The fundamentals of finance do not disappear because a company
becomes larger. If anything, scale makes disciplined financial thinking even
more important.
How does financial strategy differ at Amazon
compared with a mid-sized company, and what principles remain constant?
One of the biggest differences is the shift
from breadth of responsibility to scale and complexity.
At Amazon, my scope is more specialised. I may
own or support a specific part of a much larger profit and loss statement, but
the scale behind that piece can be significantly greater. The analysis also
involves more data, stakeholders and variables.
A single decision may require evaluating
different scenarios, customer behaviour, cost structures and long-term
financial implications.
The experience has taught me that greater scale
does not necessarily mean having visibility over every line of a company’s
financial statements.
It can mean going much deeper into a particular
business area and understanding its economics well enough to influence
decisions.
Which experiences along your career path have
shaped the finance leader you are today?
One of the most important was growing with an
organisation rather than stepping directly into a senior finance position.
I spent approximately six years at Hallmark
Advertising & Marketing and progressed through different responsibilities
before becoming Head of Finance.
That progression meant I understood finance
from the operational level upwards. I had worked with the details before
becoming responsible for the broader financial picture.
That taught me that a finance leader must
understand both the numbers and the business behind them.
Cornell expanded my perspective beyond finance,
particularly around strategy and leadership, while Amazon exposed me to
financial decision-making at a very different scale.
Each stage added something different. Kenya
gave me the technical and operational foundation, Cornell broadened my
strategic perspective, and Amazon has challenged me to apply both in a highly
data-driven environment.
What financial metrics do you think companies
sometimes underestimate when assessing long-term health?
My experience at Amazon has reinforced the
importance of connecting financial performance back to the customer.
Revenue and profit are obviously important, but
they are often the outcome of something happening much earlier with the
customer.
That is why customer-oriented metrics can
sometimes be underrated from a finance perspective.
Understanding how customers engage with a
product or service, whether they return and whether the business is creating
sufficient value for them can provide important context for what eventually
appears in the financial statements.
I therefore try not to look at a financial
metric in isolation. If revenue changes, the more interesting question is what
is driving that change. Is it customer adoption, engagement, pricing, retention, or something else in the underlying economics?
The strongest KPIs are not necessarily those
that simply tell you what happened financially. They are often the ones that
help you understand why it happened and what it could mean for the future.
What does financial automation look like in
practice, and where can businesses gain the most?
At its simplest, financial process automation
is about reducing repetitive manual work required to move from data to insight.
Finance teams traditionally spend significant
time extracting information, reconciling different data sources, updating
recurring reports and checking for inconsistencies.
Automation can reduce that workload by creating
repeatable processes for gathering, validating and presenting information.
More recently, AI has been a game changer in
the work I do. It is changing how quickly we can work through certain
repetitive or data-intensive tasks and, importantly, creating more time for the
strategic side of finance.
Instead of spending as much time assembling
information and producing reports, finance professionals can spend more time
interpreting numbers, challenging assumptions, evaluating scenarios and helping
the business make decisions.
For a Kenyan SME beginning its automation
journey, where should it start?
I would start with processes that are
repetitive, time-consuming and rules-based.
A company does not necessarily need an
expensive transformation programme. Something as simple as identifying a report
that someone manually rebuilds every week, or a reconciliation that follows the
same steps every month, can reveal opportunities for automation.
The biggest mistake is automating a process
before understanding whether the process itself makes sense.
Technology can make a good process faster, but
it can also make an inefficient process inefficient at greater speed.
I would therefore start by mapping the process,
eliminating unnecessary steps, improving the quality of the underlying data and
then deciding what should be automated.
For many SMEs, a series of small improvements
can create meaningful gains without requiring significant capital investment.
What is one thing Kenyan companies could learn
from Amazon’s culture?
One thing that stood out to me when I joined
Amazon was how deeply the company’s leadership principles are embedded in the
way people work.
Amazon has 16 leadership principles, and they
provide a common framework for how people approach decisions, solve problems
and work with one another.
What I find powerful is that they are not
simply values written on a wall. Principles such as customer obsession, ownership
and dive deep become part of the language used in everyday discussions and
decision-making.
That is something companies can adopt without
significant financial investment.
An organisation does not need 16 principles,
nor should it copy Amazon’s. But having a small number of clearly defined
principles that genuinely guide decision-making can be valuable.
The real impact comes when those principles
move beyond words on a page and become part of how people actually work. That
is when they become culture.
Kenyan businesses often cite limited capital
and legacy systems as barriers to modernising finance. How can they make
progress despite these constraints?
Modernisation does not have to begin with
replacing every system.
Companies can first identify where their
finance teams are losing the most time or where poor information is affecting
important decisions.
Sometimes the highest-value improvement may be
standardising how data is captured, simplifying a reporting process or
automating one repetitive task.
Businesses should also prioritise according to
decision value. If better information in one area would materially improve
pricing, cash management or investment decisions, that may deserve attention
before a broader technology transformation.
Technology is most useful when it solves a
clearly defined business problem. The starting point should therefore be the
problem, not the tool.
AI is rapidly reshaping finance. What should
young Kenyan accountants learn to remain relevant over the next decade?
The finance professional of the future needs
both strong financial fundamentals and the ability to work comfortably with
technology.
Young professionals should understand
accounting and financial analysis deeply, but they should also become
comfortable working with data, automation and AI tools.
Increasingly, the advantage will not come from
manually performing every task. It will come from knowing what question to ask,
how to evaluate the output and how to translate information into a business
decision.
At the same time, I do not believe technology
eliminates the need for human judgment. Finance often operates in situations
where there is no perfect answer.
Someone still has to understand the business
context, challenge assumptions, assess risk, communicate with stakeholders and
make a recommendation.
Finally, looking back at your journey, what
would you tell a young Kenyan finance graduate with similar ambitions?
I would
tell them first that it is possible.
When you are starting your career in Kenya,
opportunities such as studying at an Ivy League school or working for a global
company can feel very far away.
My journey has taught me that what initially
looks distant becomes much more achievable when you are intentional about what
you want and consistently work towards it.
As I gained experience, those responsibilities
grew and eventually led me into leadership roles. I became more curious about
the business beyond my immediate role and continued looking for opportunities
that would stretch me further.
I could not have mapped every step of the
journey when I started, but each experience built on the one before it and
prepared me for the next.
