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Senior Sales Specialist at NTT Ltd.
NTT Ltd.
September 22, 2026
Full-time
On-site
To thrive in this role, you need to have:
A proven track record of achieving and exceeding sales and financial goals.
Proficiency in delivering engaging sales presentations and working effectively in a team-selling environment.
In-depth knowledge of competitors with the ability to apply successful sales strategies.
Attention to maintaining accurate sales forecasts and close plans.
Strong business acumen and seasoned sales solution capabilities.
The ability to build and maintain meaningful customer relationships, including at senior leadership levels.
A client-centric approach with excellent problem-solving skills to find the best-fit solutions.
Flexibility to adapt quickly to new missions or urgent deadlines.
Excellent negotiation abilities to craft mutually beneficial solutions.
A bachelor's degree in information technology/systems, Sales, or a related field.
Industry/Vendor sales certifications required.
Key Responsibilities:
Build and manage a robust pipeline of Data & Analytics opportunities across target accounts within MEA, aligned to company growth targets.
Develop deep relationships with C-level and senior stakeholders (CDOs, CIOs, CTOs, Heads of Analytics) to understand business challenges and position relevant solutions.
Collaborate with practice SMEs, solution architects, and delivery teams to shape compelling proposals, RFP responses, and commercial constructs.
Drive the end-to-end Data & Analytics sales cycle: prospecting, qualification, solutioning, negotiation, and deal closure.
Partner with hyperscaler and technology alliances (e.g., AWS, Microsoft, Google Cloud, Snowflake, Databricks) to develop joint strategic sales motion within targeted accounts.
Maintain TCV forecasting, pipeline reporting and ACV estimating
Represent the company at local industry events, forums, and client engagements to build brand visibility and thought leadership.
Stay current on local market trends, regulatory considerations, and competitive landscape affecting Data & Analytics buying decisions.
Academic Qualifications and Certifications:
15+ years of sales experience, with at least 10 years focused on Data & Analytics technology solutions (MDM, Data Quality, Data Governance, Data Engineering and Data Cloud platforms)
Proven track record of achieving/exceeding Data & Analytics quotas within MEA, ideally within a GSI, consulting, or technology services environment.
Strong network of client and partner relationships in-country.
Solid understanding of data platforms, analytics tools, and AI/ML solution offerings.
Excellent communication, negotiation, and executive presentation skills.
Required experience:
Existing certifications or partner relationships with major data platform vendors (Snowflake and Databricks).
Experience selling managed services or outcome-based engagements.
A Cross Technology Sales Specialist is a seasoned subject matter expert and is a quota-bearing sales persona. The purpose of this role is to primarily pursue, and land qualified leads identified by the Client Management team and other respective teams.
A proven track record of achieving and exceeding sales and financial goals.
Proficiency in delivering engaging sales presentations and working effectively in a team-selling environment.
In-depth knowledge of competitors with the ability to apply successful sales strategies.
Attention to maintaining accurate sales forecasts and close plans.
Strong business acumen and seasoned sales solution capabilities.
The ability to build and maintain meaningful customer relationships, including at senior leadership levels.
A client-centric approach with excellent problem-solving skills to find the best-fit solutions.
Flexibility to adapt quickly to new missions or urgent deadlines.
Excellent negotiation abilities to craft mutually beneficial solutions.
A bachelor's degree in information technology/systems, Sales, or a related field.
Industry/Vendor sales certifications required.
Key Responsibilities:
Build and manage a robust pipeline of Data & Analytics opportunities across target accounts within MEA, aligned to company growth targets.
Develop deep relationships with C-level and senior stakeholders (CDOs, CIOs, CTOs, Heads of Analytics) to understand business challenges and position relevant solutions.
Collaborate with practice SMEs, solution architects, and delivery teams to shape compelling proposals, RFP responses, and commercial constructs.
Drive the end-to-end Data & Analytics sales cycle: prospecting, qualification, solutioning, negotiation, and deal closure.
Partner with hyperscaler and technology alliances (e.g., AWS, Microsoft, Google Cloud, Snowflake, Databricks) to develop joint strategic sales motion within targeted accounts.
Maintain TCV forecasting, pipeline reporting and ACV estimating
Represent the company at local industry events, forums, and client engagements to build brand visibility and thought leadership.
Stay current on local market trends, regulatory considerations, and competitive landscape affecting Data & Analytics buying decisions.
Academic Qualifications and Certifications:
15+ years of sales experience, with at least 10 years focused on Data & Analytics technology solutions (MDM, Data Quality, Data Governance, Data Engineering and Data Cloud platforms)
Proven track record of achieving/exceeding Data & Analytics quotas within MEA, ideally within a GSI, consulting, or technology services environment.
Strong network of client and partner relationships in-country.
Solid understanding of data platforms, analytics tools, and AI/ML solution offerings.
Excellent communication, negotiation, and executive presentation skills.
Required experience:
Existing certifications or partner relationships with major data platform vendors (Snowflake and Databricks).
Experience selling managed services or outcome-based engagements.
A Cross Technology Sales Specialist is a seasoned subject matter expert and is a quota-bearing sales persona. The purpose of this role is to primarily pursue, and land qualified leads identified by the Client Management team and other respective teams.