Customer Solutions Lead (Pre-Sales)

We are seeking a Customer Solutions Lead (Pre-Sales) to join our multinational client who is a leading software developer specializing in business analytics.

As part of the Customer Advisory team, this customer-facing role manages all strategic customer advisory and technical presales activities for business units that support industries including government, banking, retail, utilities, and energy.

If you are a natural problem solver with an enthusiasm for innovative business solutions looking to join a collaborative and creative team, this opportunity could be the next step in your career growth.

RESPONSIBILITIES:

• Developing an understanding of clients’ current business strategies, requirements, and opportunities;
• Developing an understanding of the clients’ existing business solutions and technical environment;
• Determining, defining, presenting and proposing solutions including technology, services, infrastructure, and hosting;
• Participating in and delivering presentations, workshops, and briefings;
• Building and deploying analytical models to support demos and proofs of concept/capability;
• Supporting relevant components of formal proposals, Proof of Concepts, and RFP responses;
• Demonstrating and proving how the proposed solutions will deliver value to clients;
• Engaging with customers post-sale as-needed to ensure adoption;
• Leveraging Architects to determine how the proposed solutions would be architected within clients’ existing business and technical infrastructure; and
• Supporting client needs with respect to the full analytics lifecycle (Data, Discovery, and Deployment).

REQUIREMENTS:

• 8 – 10 years experience selling or working in enterprise platforms across any of the following industries: government, banking, retail, utilities, or energy;
• Bachelor’s Degree;
• Expertise in at least two of the following areas: data management, business intelligence, advanced analytics, or AI;
• Significant hands-on experience with defining, developing and deploying analytically-based models in a business context (this could be based on experience as a practitioner, consulting, or technology sales);
• Extensive experience with analytically-related technologies (ex. SAS, AzureML, Databricks, open source technologies such as Python and R, etc.);
• Experience with visualization tools (ex. SAS VA, MS Power BI, Tableau);
• Prior experience in one or more of the following is highly desirable: forecasting, statistics, optimization, econometrics;
• Talent for defining business technology solutions, specifically in relation to clients’ businesses and technical environments including on-premises infrastructure, and private/public clouds;
• High level of proactivity, creativity, curiosity, self-motivation, competitiveness and a thirst for knowledge;
• Excellent communication skills with internal and external stakeholders; and
• Ability to travel.