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Toby Sykes, Head of Data, Altruistiq

What has been your path to power?

I have not had a typical path so far! I am a self-taught coder, having always been interested in technology, from my first ZX Spectrum to coding on BBC Micros and building my own PCs. After university, I went to China to continue studying martial arts where my teacher asked me to help him build an online Kung Fu encyclopedia. I learnt how to code web sites and this started my journey into real technology. After returning to the UK, I qualified and started working as a freelance web developer.

 

Since then, I have moved from helping clients re-engineer global processes supported by large technology implementation to architecting large-scale data architectures and MI solutions. Eight or nine years ago, I was introduced to Hadoop and became excited about larger-scale data processing and the possible value it could unlock. This prompted me to explore analytics and value creation, so I moved to McKinsey QuantumBlack, where I built a team of more than 100 data engineers globally, implementing data products to support AI at scale.

 

After an amazing five years, I wanted to do more to help the fight against climate change using data and AI. I switched to an early-stage start-up, Altruistiq, where we use data to track, measure and report on corporate impact to the environment and provide a platform to set data-driven targets and recommend/manage reduction initiatives!

What impact has the pandemic had on your role?

From a team perspective, I can say that the pandemic has had a positive impact. As an early stage start-up, we have incredible access to a much broader market now that remote working is more normal. We are a remote-first company and our data and application engineering teams are all over Europe. This brings amazing diversity and talent!

 

Regarding sustainability tracking, we have had to be careful around setting baseline years. For instance, carbon emissions have been lower in 2020 and 2021 than before, obviously with fewer people travelling. It is important our customers have a realistic view of their environmental impact to work from, enabling more meaningful interventions to decarbonise.

How do you bring your strategic views into discussions about data either in organisations or across industry?

I always try to bring a modular, fail early mindset when it comes to implementing anything in data. It can be easy to get too complicated, too quickly, which harms business adoption and understanding of data, as well as reducing transparency and auditability. In most cases (in my opinion), it is important to be clear on the business value first, users/consumers second, data third, technology fourth. This approach often resonates well with business stakeholders and can lead to better engagement. Data should be a strategic value-driver, not a back office function. It is then critical to start building small to prove value and incrementally scale, learning as you go.

 

What are your key areas of focus for the business in 2022?

A big focus for us is data-centric AI (as coined by Andrew Ng in 2021) and reducing data processing overheads and margin for error. With the emergence of knowledge graphs for data, coupled with ML, there are opportunities to accelerate data onboarding and integration dramatically.

 

We are also keen to drive data standards in sustainability, starting with how emissions input data is captured and stored, making it easier to track and report carbon emissions across industry. Improving decarbonisation across industry is a data problem and there is an opportunity to drive industry-wide collaboration to make a significant difference.

 

How do you apply your leadership skills a) within your own business and b) externally?

I try to listen, coach and co-ordinate wherever possible, bringing the right cross-functional skills together to bring a diversity of perspective and solve problems from multiple angles. I often attempt to set a clear vision, seek feedback and input to that vision, then empower the broader team to divide and conquer. Depending on the situation, I will also try to get my hands dirty, getting stuck in to deliver where appropriate (and where I won’t be a hindrance or slow things down!). I adopt the same approach internally and externally.

 

What key skills or attributes do you consider have contributed to your success in this role?

I would say knowing my strengths and weaknesses has been a big factor. I always remain humble and inclusive, so, although I often have an idea of what I want to achieve, there are others who can provide better solutions and bring different perspectives. A team will usually have incredible combined experience, and it should all be harvested to craft better solutions!

 

How did you develop – and continue to develop – these skills or attributes?

I have been lucky in my career to work with some incredible people at incredible companies. This has given me exposure to multiple leadership courses where there has always been a strong focus on emotional intelligence and working with different profiles. I have often tried to reflect this in my hiring process, actively recruiting for slightly different skillsets in the same role to introduce diversity and the opportunity for peer learning (not just between each other, but for me to learn, too). Managing diverse teams is one of the best ways to learn. I am also fortunate to have senior mentors with whom I can discuss team learnings/dynamics to make me a better leader.

How do you ensure that you are keeping pace with the goals and requirements around data to avoid lagging behind?

Data is essential to our product, so a considerable number of our features focus on data architecture. This means that our cross-functional product squads are always improving how we process data, iteratively building out our strategic data objectives and aiming to release new capabilities every two weeks. We strive to make small functionality releases often and are putting in place the development processes to enable this (following continuous integration/deployment practices).

 

Additionally, we use OKRs to set ambitious targets and track progress every two weeks. Our OKRs are company-wide and connect overall to the business strategy, which highlights how dependent success is on data! This helps garner support and buy-in from leadership for our data roadmap and hiring plans.

Toby Sykes
has been included in:
  • 100 Enablers 2021 (EMEA)
  • 100 Influencers 2022 (EMEA)