• ANZ Senior Presales Consultant – Advanced Analytics (Artificial Intelligence/Machine Learning)

    Job Locations AU-CT-Canberra
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  • Company Overview

    ANZ (Senior) Customer Advisory Consultant – Advanced Analytics / Artificial Intelligence Machine Learning


    The SAS ANZ Customer Advisory team supports our vision to be the first company called to solve a customer’s complex business problem. We achieve this status through developing high value trusted relationships and engineering high value solutions that solve our customer’s complex business problems.


    SAS is embarking on hiring a new generation of Customer Advisory people locally and globally. This new generation are not the traditional SAS mould - but change agents, leaders and advisors to take SAS’ next generation platform Viya and AI applications to new and existing customers.  Our customers are asking us to lead and advise - way beyond to traditional role of a software vendor.


    With both technologies and application suites in areas such a fraud, risk, marketing and IOT - SAS has grown every year since it began. You probably have a preconception of SAS which we would like to challenge.


    SAS’ new Viya platform expands on SAS’ market leading capability to add capabilities such as AI and Machine Learning – but also embraces open source and a new, open micro-services, cloud-first architecture.  A number of leading Australian organisations have already adopted Viya and demand is growing.


    SAS is now looking for a (Senior) Customer Advisory Consultant to provide leadership and domain expertise to influence new customer engagements in Queensland.  To be effective in this role, you will already have a demonstrated credibility and experience in areas such as classic statistical modelling, machine learning, natural language processes, deep learning and forecasting.


    The Customer Advisory Team is typically the first team on the ground to support the sales team.


    You don’t have to know SAS – in fact, an open mind and an “open source” skills set is beneficial for SAS’ new platforms.  SAS is also a great investor in people, so we ensure you get the best training to fill any gaps in knowledge you have.


    You will be expected to participate and/or lead customer engagements with both business and IT, relate AI / Advanced Analytics concepts to customers and fit SAS’ end-to-end capabilities to within the customer’s current ecosystem.  SAS has technical architects who can help with the plumbing and infrastructure.


    SAS provides ongoing training and education for both technical skills (e.g. modelling, AI, open source) as well as soft / business skills (e.g. presentation skills, sales skills, negotiating skills) to allow candidates with the right attitude and motivation to achieve new heights in their career.  SAS is continually in the top rankings for Great Place to Work in Australia, New Zealand and Globally.




    Primary Responsibilities

    • Works with customers (and the wider SAS team) to define and demonstrate how successful business outcomes can be achieved through the use of AI and Analytics
    • Proactively engages and builds trusted relationships with customers, partners and the wider SAS team such that they can leverage your domain expertise
    • Delivers standard, customised and/or strategic solution demonstrations and presentations outlining the functional capabilities, competitive advantages and business benefits of SAS Solutions offerings as they apply to client needs
    • Learns and embraces the SAS technology and solutions – as well as open source – for knowledge sharing and demonstration purposes
    • Helps educate the sales and marketing team and communicates knowledge to other non‐technical sales functions to empower them to position and support SAS solutions
    • Works closely with regional and global SAS community to leverage best practices
    • Proactively works with sales and marketing to create propositions for customers on how AI / Advanced Analytics can improve or transform their organisation

    To be successful in this role you will require:

    • Knowledge and experience in one or more of Machine Learning, Predictive Modelling, Deep Learning, Forecasting, Natural Language Processing, Optimisation / OR or other areas of Advanced Analytics
    • Knowledge the analytics lifecycle (from data preparation, to model training, to production etc.)
    • Familiar with data preparation and visualisation technologies and techniques
    • Have hands on experience of advanced analytics / machine learning technologies such as e.g. R, Python, SAS, SPSS etc.
    • Excellent problem solving, written, oral and interpersonal skills. 
    • 2+ (4+ for senior) years of experience in experience in advance analytics / data science / modelling roles within industry or consultancy organisations
    • Ability to constantly be learning new technologies, techniques and capabilities in an ever changing industry
    • Bachelor's degree or other quantitative field related to area of assignment



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