An intelligent career transformation

Denisse Domínguez

“Trabalhar na Accenture significa pensar fora da caixa e alta performance, sem barreiras de gênero.”

Describe your role in Accenture.
I am part of the analytics team within Accenture Applied Intelligence and together with my team, we generate analytical models that forecast and identify valuable proposals that generate a change in the way in which clients operate.

Why would you invite a woman to work at Accenture?
Working at Accenture means development and high performance without gender barriers, the opportunity for growth is the same for everyone. It is a company that gives you the tools to meet your career goals.

What is the most memorable moment you've had at Accenture?
The day I joined Accenture was a different experience because I was used to working in a very small company and knowing that I was now working in a global company, I was thrilled because I knew it would be a great challenge to demonstrate my knowledge and experience to generate value for the business.

What is it that makes Accenture unique and that allows you to create, innovate, lead and transform in an effective way?
There are no limits to think out of the box, in Accenture we have the opportunity to work with other teams globally to learn about new solution models that we can replicate and adapt according to the needs of our clients in Mexico.

What has been the best professional advice you have received and would like to share?
"Think further, but remember that the solution is sometimes closer than we think".

Ana Madrid
Senior Manager

“Fui atraída para trabalhar na Accenture devido à sua ênfase na diversidade.”

As it happens, my name is ‘Madrid’ and this is also where I come from. I could never have imagined as a child doing what I do now; living and working in London especially. Before joining Accenture, I worked at Deloitte. This was after having studied economics in Spain, with an emphasis on econometrics.

As far as I’m concerned, being a data-driven organization is the only way to be. Advanced Analytics (machine learning) and Big Data is already shaping what we do and, as we are focused on and committed to generating great results for our clients, I can only see it becoming increasingly important to our work in future. Data and data science is a crucial part of what we do here. It also helps us to build the credentials we need to evidence our capabilities.

Diversity will also continue to play a key role. Data gives us a new perspective on how we approach our client’s issues; it therefore makes sense that we embrace as many different perspectives on what that data is capable of.

In my current role, I create new Artificial Intelligence products. It involves a great deal of stakeholder management and lots of difficult technical decisions which, in turn, means you can usually find me in meetings. This reflects the collaborative approach we take to work at Accenture. I’m looking forward to more exciting times ahead. The next big thing on my professional horizon is exploring the scalability of AI.

My inspiration is Belle from Disney’s Beauty and the Beast. She was more concerned with reading and doing what she saw as morally right than with social status. These values and this approach to life I like to reflect in my own.

In terms of my future, I’d like to be able to help others to grow. I believe very much in persevering personally but also giving others the opportunities they need to release their potential. I’d like to see a world where we have more equal rights. This means leveraging diversity to achieve this. People are what make Accenture special; they make working here special too. I’m proud to be part of what we achieve together as a business.

Zuzanna Blaszczak
“Estou constantemente pensando em coisas que nunca foram pensadas por alguém e tentando responder a perguntas que nunca foram respondidas.”

“I’m constantly thinking about things others haven’t thought of, and trying to answer previously unanswered questions.”

Digital Analytics is all about using data to help our clients with pretty much anything they can imagine – whether that’s improving their products or services, or generating insights to enhance decision-making. I’m on the Data Science side of Analytics. Essentially, we apply state-of-the-art algorithms and machine learning to huge data sets in order to solve complex business problems. This combination of modern algorithms and data sets allows us to move away from describing the world as it is to predicting what will happen in the future. Data Science relies on technology – and since Accenture is an undisputed technology leader this, for me, is the place to be.

Being a self-confessed geek, I find the whole thing fascinating. I really enjoy writing code and solving problems. I’m constantly using my brain, thinking about things others haven’t thought of, trying to answer previously unanswered questions – or researching those that have been answered. The research element was something that I’d experienced in my previous life in academia, but moving to Accenture I found was a whole new ball game. In academia, it’s quite theoretical and you have the luxury of being able to come up with the ‘nicest’ solution. Moving to Accenture I’ve had to think differently. In industry, you have to find the solution that works best against all sorts of constraints. Everything we do has pounds and pence attached to it and deadlines are far, far tighter.

I’ve been at Accenture for less than a year, but my confidence has really grown in this time. So, I was joining this huge global company. Could I add value? How would I hold my own against all these super-smart people? But I’ve had so much encouragement and positive feedback that I can now speak confidently with clients and I’m not afraid to offer my opinions. Nor has being part of a traditionally male world been an issue as I’m surrounded by so many like-minded women.

I’ve thrown myself into community activities, too. Last year, I took part in a hackathon organised with Amnesty International looking at the abuse of politicians on Twitter, which really showed the power of data science. I also took part in Teen Tech, an event for schoolchildren – Accenture was the sponsor of the Data Science competition. We gave the children a few data sets to play with and I mentored them on ways to approach using the data, trying to get them thinking about how data is used in everyday life.

There’s still so much to explore in areas such as machine learning and AI, and that suits me to a tee. What motivates me most is learning new things and stretching myself. I enjoy rock climbing and bouldering – every time I go to the bouldering gym, there’s another challenge to solve. I’m into bread-making, always striving to bake the perfect loaf. And golf: it’s not the most popular sport in my native Poland, which was reason enough for me to give it a go. I suppose that’s the kind of person I am!