About our client
Our client is set out to build the world’s most trusted consulting firm – creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector. They have hubs in Europe, the US, Asia and Australia, and we work all around the world – from a wind farm in Wyoming to a boardroom in Berlin. Find us wherever there’s a challenge to be tackled and an impact to be made.
Our team based in Singapore predominately works within 1 Energy, Metals/ Mining and Agricultural traders across the APAC region to help them to deliver, and operational change projects. Our deep content expertise is recognized by our clients and means that they come to us to help them with their most important or challenging projects.
About the role
You will be part of leadership team in Singapore, building a data delivery capability, growing our business, leading and coaching our people.
You will have the opportunity to use your experience to set up the Data Analytics & AI practice for our Singapore office, bringing the right team and skills to the table for Digital Transformation in the Energy and Commodities Trading sectors, with the support of our established Data Analytics & AI practice in the UK, to provide you some insights and support on scaling the practice locally.
You will be part of team working on client engagements in the Energy and Commodities Trading sector driving transformation together. Examples of what you’ll do include:
Defining and documenting their program strategy and value drivers.
Undertaking business and data analysis such as capturing use cases, building business cases, and prioritizing backlogs.
Acting as a data product owner; leading and running data projects or workstreams using agile, waterfall or hybrid methods.
Providing technical rigour and challenge to designs and proposals.
Developing, designing and/or delivering the data architecture and data solutions in line with the business needs.
8+ years of data consulting experience; leading teams and/or workstreams which may be comprised of different parties.
Held a leadership role with experience in developing and running a Data Analytics & AI practice or scaled delivery team.
Experience in a strategic piece of work, advising on the commercial value and shaping up the roadmap for full delivery lifecycle using different delivery methods, agile, hybrid and waterfall skills.
Excellent stakeholder management skills from explanation of technical content to non-technical stakeholders to articulating the cost and benefits of the data strategy.
Experience in solving complex problems across the data landscape, from data warehousing to insights generation.
Degree in relevant fields such as Information Systems, Computer Science, Mathematics, Business Analytics etc.
Expertise in a number of the following areas – Data Strategy, Data Science & Engineering, Data Visualization, Data Management, Data Architecture and Software Development.
Passion for Energy and Commodities sectors is a plus.
Passion for driving a data-led change in Trading businesses is a plus.
Have experience in delivering data strategy work to Energy and Commodities Trading clients is a bonus.
Prior experience in Management Consulting.