Successful candidates will -

• Be assigned to one or more target accounts and partner with the Account Executive to define a relevant, actionable account strategy and plan;
• Understand and document the client’s “as is” analytical ecosystem architecture and define a “to be” architecture that addresses client strategy and requirements, supports the growth of the Teradata platform and mitigates competitive threats;
• Drive sales and usage of Teradata software and services by acting as a trusted technical advisor to the client;
• Provide technical leadership to the extended Teradata account team and ensure that other relevant SMEs are engaged at appropriate points throughout the sales cycle;
• Work with the extended account team to identify new workloads that can be brought to the platform and opportunities to leverage new features and functions to optimize existing workloads; be accountable for customer success;
• Deal with ambiguity and propose creative solutions that leverage informed assumptions based on her experience and expertise where only partial information is available to her;
• Work with the extended Teradata consulting team to scope projects and develop appropriate SOWs, project plans and risk analyses;
• Actively participate in the design, implementation, and roll-out of solutions to ensure that customer requirements are met or exceeded and in order to understand the real-world strengths and weaknesses of Teradata solution offerings; ensure that appropriate learning is captured, best-practices are updated and that feedback is provided to the product and engineering teams, as required;
• Continuously develop her own consulting and technology skills and ensure that she stays abreast of the relevant industry developments, including the emergence and evolution of new competitive threats;
• Share hard-won skills and experience with peers and colleagues throughout the organization.

Candidate Profile

Successful candidates must -

• Be passionate and enthusiastic about data, analytics and Teradata;
• Have at least 5+ years hands-on experience in architecting, designing, delivering or optimizing Data Warehouse and/or Data Lake solutions;
• Be a clear, confident and persuasive communicator, with excellent presentation skills and with the ability to structure a coherent, logical argument and the confidence to defend assumptions, projections and recommendations;
• Demonstrate a keen interest and understanding of developments in the data and analytic technology marketplace and the trends are driving the adoption of new analytic technologies;
• Be proficient in the use of both written and spoken business English;
• Possess strong analytical and problem-solving skills;
• Demonstrate excellent organizational and people skills.

Successful candidates will preferably -

• Have a background in technology consulting and relevant pre-sales experience;
• Demonstrate relevant domain expertise in at least one industry vertical (e.g.: Retail Finance) or one horizontal (e.g.: Supply Chain);
• Be familiar with SQL and at least one other relevant analytic programming language;
• Have a degree level qualification in Computer Science, Software Engineering or a related discipline.