Senior Specialist Talent Acquisition

Transunion Llc; Gauteng; On-site; USD 60 000 - 100 000; Full time

Job summary

An innovative firm is seeking a Sales Executive to drive revenue growth for a cutting-edge zero-code AI platform tailored for financial services. This role demands a strategic thinker with extensive experience in enterprise sales and a solid understanding of data science and machine learning. The successful candidate will engage clients, develop sales strategies, and collaborate with various teams to enhance platform adoption. Join a dynamic environment where your expertise will significantly impact the acceleration of AI solutions in the financial sector, enabling organizations to harness the power of AI swiftly and effectively.

Qualifications

• 8+ years in data science or machine learning, with at least 5 years in sales.
• Proven success in platform sales cycles for complex solutions.

Responsibilities

• Develop and implement sales strategies to meet revenue targets.
• Manage sales pipeline, forecasting, and revenue reporting.

Skills

Sales Strategy

Data Science

Machine Learning

Enterprise Sales

SaaS Solutions

Client Engagement

Problem Solving

Education

Bachelor's in Computer Science

Bachelor's in Business

Tools

AWS

Azure

GCP

Analytics Tools

Job description

Our client is a fast-growing Enterprise AI software company focused on Financial Services.

Their next-generation AI platform automates the entire data science and machine learning lifecycle. It helps organizations develop, deploy, manage, govern, and operationalize AI applications at scale, ethically and responsibly.

The product is designed to create highly accurate, trusted, and explainable models, enabling the deployment of advanced machine learning and deep learning models in production with just a few clicks.

It is a zero-code platform with real-time scoring and model performance monitoring.

Our client accelerates AI adoption, enabling AI-based solutions in hours and days instead of weeks and months, thus improving ROI. The platform enhances data science teams' capabilities, making them faster, more consistent, and more accurate, allowing them to focus on solving business problems rather than coding.

Offices are located at the headquarters in Bangalore, India, with additional offices in the USA and South Africa.

About the Role

Designation: Sales Executive

Location: Prefer Johannesburg / Cape Town

Experience: 8+ years platform sales experience in Financial Services, with experience in data science.

Reports to: EVP, EMEA

Job Description

Our client seeks a Sales Executive for our zero-code AI platform, offering end-to-end data science and machine learning (DSML) solutions to financial services organizations.

The Sales Executive will lead revenue growth for the company's platform solutions.

This role requires a strategic thinker with a strong background in enterprise sales, SaaS, and platform-based business models.

The ideal candidate will have deep expertise in analytics and ML, with the ability to engage clients, understand their challenges, and present tailored solutions.

The successful candidate will develop and execute sales strategies, build key client relationships, and drive platform adoption and revenue.

Responsibilities

1. Sales Strategy and Execution: Develop and implement sales strategies to meet revenue targets. Identify and pursue new business opportunities within Financial Services (banks, insurers, lenders, Fintechs). Collaborate with Product, Marketing, Pre-Sales, and Customer Success teams. Understand customer pain points and articulate how the platform addresses them. Lead contract negotiations and deal structuring.
2. Proposal & Bid Management: Work with Pre-Sales and Product teams to build strong relationships with clients. Create compelling proposals, including solution approach, costs, scope, and timelines. Prepare RFP responses aligned with client requirements. Ensure timely and quality proposal delivery.
3. Revenue Growth & Forecasting: Manage sales pipeline, forecasting, and revenue reporting. Use data-driven insights to optimize sales performance and identify growth opportunities.

Qualifications & Experience

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Alternatively, a Bachelor's in Business with extensive Data Science experience.

Experience: 8+ years in data science or machine learning, with at least 5 years in sales. Proven success in platform sales cycles for complex solutions. Strong understanding of data engineering, analytics, AI, and ML. Domain expertise in credit risk, debt collection, customer acquisition scorecards, etc., for financial services. Knowledge of big data, cloud platforms (AWS, Azure, GCP), and analytics tools. Familiarity with AI trends like deep learning, NLP, and AutoML.

Soft Skills

Excellent verbal and written communication skills, with the ability to present to executives and technical teams. Strong problem-solving and creative thinking. Business acumen to translate technical capabilities into business value. Ability to handle complex, high-pressure situations and close multiple opportunities successfully.