Data Vis & AI Interaction Manager

Job Title: Vis & Interaction Science Manager

Location: London

The Data and AI revolution is changing everything. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance.

We cover wide range of Data and AI skills, from Strategy, Data Science, Data Architecture, Engineering and Visual Insights. At Augmented Insights we help clients transform the way they use data to solve business problems by making data analysis fast, easy, and more visual and impactful.

• We are the primary System Integration partner for the leading vendors (e.g. Tableau, Qlik, PowerBI, Alteryx)
• We are leading innovation for new entrants in the market and using new capabilities at top tier clients

• Equally, we help clients develop and enhance skills in data literacy. Who are we looking for? If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As a valuable member of the Augmented Insights practice, you are uniquely positioned to bring your expertise in data analytics, data storytelling, user centric design and business consulting to help clients innovate using data.

• Your curiosity in data combined with your understanding of the business context will be the missing jigsaw piece to realise extraordinary business value;
• Your critical thinking in the customer/user journey coupled with your technical know-how in data will help our clients transform their business processes; and

• Your ability to operate and lead a team as well as independently will be regarded as a critical factor for many successful multi-disciplined projects. Excited? We are looking for strong candidates who can demonstrate their experience, expertise, and strength in multiple disciplines, as well as their passion in development them, including:

• Data Analysis & Modelling
• Data handling and ingestion (SQL) skills
• Data Quality Principles
• DWH & Big Data architectures
• AI, ML and Advanced Analytics Techniques
• Stakeholder engagement and consulting skills
• Business analysis / requirements gathering