As a marketing executive at a big data startup, my day often revolves around analysing and discovering hidden trends and patterns from our lead data, and providing guidance to my team on strategies to maximise our conversion rates.
Marketers leverage big data in a number of ways, ranging from customer segmentation, customer insights, and predictive lead scoring, to personalised marketing and sentiment analysis. Some marketing teams rely heavily on big data for off-the-shelf marketing technology solutions to enable programmatic marketing, content optimisation, predictive response targeting, attribution tools, performance analytics and more. While others are evaluating open source software to build capabilities that will help them to quickly and correctly act on their own data. Either way, data analytics has certainly become top of mind for CMOs in 2016.
The marketing tech landscape is becoming more complex and diverse. As the need for more predictive and deterministic data in marketing decision-making increases, so do new leadership roles needed to acquire and manage these, invariably integrating the technology and marketing worlds. As an engineer turned tech marketer, this new paradigm presents a perfect storm that helps me combine my engineering and marketing skills to do what I love the most - solve complex problems.
Despite this shift in big data technology innovation that is driving tremendous growth and opportunities, women still play a small role in this arena. Gender disparity in tech companies is nothing new and has existed for decades. Although concerted efforts are being made by companies and women's awareness groups to narrow this gap, the statistics over the past five years indicate that we still have much work to do. Ironically these numbers aren't too different from when I first entered the workforce twenty years ago.
There are several reasons why women are underrepresented in tech, especially big data. First, the lack of female role models in tech and in the C-Suite makes it less attractive for women to pursue careers in this area. Second, the lack of support networks along the path to help, guide and motivate women at every stage in their tech careers. Third, retention of women technologists within the workforce is a major problem due to cultural and work-life integration issues i.e. the leaky pipeline issue indicating a 50% decline in representation of women from entry to executive levels.
Despite all, making your mark as a woman in big data is not only possible but a direction I personally hope many will continue to pursue. Drawing from my personal experience, I have always felt that opportunities exist, even in what may feel like adverse circumstances. Yes, you may still be the minority in your CS class, or in your first team meeting at work, but my advice to women in big data is to embrace that, seek out opportunities and make them yours.
Some parting thoughts for women considering a career in big data:
1. Stretch your technical skills: Big data is both competitive and highly cerebral. Invest in your learning and build that toolkit. Ask the stupid questions - it is only going to help you sharpen that saw. Get your hands dirty and explore the technologies and tools out there. Make open source your sandbox for learning.
2. Seek out mentors and find networks: Find thought leaders and experts in your area of interest - these can be both women and men. Reach out to them and build that network. You will be surprised by how many experts out there are willing to be in your corner - after all, they have all had to start somewhere themselves.
3. Embrace your inner 'girl': The one thing I learned early on in my career in tech is that you are better off to be yourself. Don't try too hard to fit in with the guys just to feel accepted. Focus on who you are and harness your individuality and talent. It will be less tiresome, and you'll find that both women and men will appreciate you more for it.
4. Take your seat at the table: The only way you are going to win is to play. Make your ideas and opinions heard because they matter. Diversity of opinion and input enriches the final outcome of any project. Learn to debate pragmatically and not emotionally - you can't win every professional debate but you will come away with a better outcome with every professional discourse, and believe it or not, it will enrich you as a person.
5. Stay Hungry: You have to want to be in this for the long haul. Set defined goals, make a plan to get there and put in the work. As Margaret Thatcher once said, "plan your work for today and every day, then work your plan."Suggest a correction