Emma Gray 
  Chief Data Officer 
  ANZ

Emma Gray

Chief Data Officer

ANZ

About

1. In a normal day, what kinds of data / analytics activities are you involved in?
I work across everything from how we collect data, how we architect it for democratised use, how we derive insights from it, how we ensure our businesses are driving results based on data use, and critically, how we govern it securely and ethically to ensure we protect our customers and our employees. I am also responsible for sharing the story of how data can step change our relationship with customers and for capability build across the organisation. My days basically fit into one of these buckets, and sometimes all of them together! 

2. What's the biggest challenges you face?
There are a few: Communicating the potential of data in ways that each audience can understand and then take appropriate actions, and working cross functionally to ensure we can deliver to our requirements given multiple other priorities, the budget process, and in the face of complex legacy systems.

3. What would be the proudest or most enjoyable moment in your analytics career?
This is a very new field and I have proud moments all the time, as I see teams build their confidence. I saw a senior team of men jump out of their chairs a few weeks ago when they were able to understand that through use of a machine learning capable platform they transform the speed, effectiveness and efficiency of one of their most important processes. Moments like that create massive business excitement and then the machine can get going on its own!

4. What advice would you give to a woman wanting to get into the analytics industry?
Understand technology and business, and get skilled in working in and driving cross functional teams. If you’re not out of comfort zone you’re not trying hard enough!! Be adaptable and don’t stop learning even after formal course work is done 

5. What do you think the future holds for women in analytics?
Success in analytics is about ‘joining the dots’ between disparate siloed groups, between cause and effect, between disparate data sources that when they come together create magic, and it also comes with good judgement and a sense of purpose. Women have significant capability assuming underlying technical and business competence to excel in analytics!