Sales Specialist - Data & Analytics, Gen AI

The Sales Specialist - Data & Analytics, Gen AI at Cognizant will focus on building innovative solutions that empower modern businesses. Key responsibilities include engaging clients in proactive conversations about generative AI, selling data management and AI solutions, and collaborating with cross-functional teams to understand user requirements and deliver solutions that enhance existing applications.

Candidates for the Sales Specialist - Data & Analytics, Gen AI position at Cognizant should possess solid experience in business growth and sales within data management, analytics, and AI, preferably in the life sciences domain. A consultative selling experience, strong communication skills, and familiarity with cloud platforms like Azure, AWS, and GCP are essential qualifications.

Essential skills for the Sales Specialist - Data & Analytics, Gen AI role at Cognizant include strong technical skills to devise solutions for complex business problems, excellent oral and written communication abilities, and skills in influencing and engaging clients at all organizational levels. Knowledge of industry trends in AI/ML, data governance, and cloud services is also highly desirable.

The Sales Specialist - Data & Analytics, Gen AI plays a vital role in driving Cognizant’s goals by developing new business models through analytics and AI while helping to prototype and scale products swiftly. Their expertise in consultative selling and their ability to understand client challenges enable Cognizant to position itself as a trusted partner in the rapidly changing technology landscape.

The annual salary for the Sales Specialist - Data & Analytics, Gen AI position at Cognizant ranges between $170,000 – $250,000, depending on the candidate's experience and qualifications. The role also includes participation in Cognizant's discretionary annual incentive program based on performance.

When answering this question, highlight your past accomplishments with generative AI sales, noting specific solutions you implemented or sold, the challenges faced, and how you overcame them. Showcase any metrics that demonstrate the positive impact of your work on business outcomes.

For this question, discuss the steps you take to understand a client's unique needs, how you build relationships, listen actively, and tailor your approach. Explain how you demonstrate the value of solutions that address their challenges in data management and analytics.

You could illustrate your answer by discussing the common obstacles such as client hesitance to adopt new technologies, understanding data privacy concerns, or the complexity of AI integration. Emphasize your strategies for overcoming these challenges based on your experiences.

Share specific examples of initiatives you led that resulted in significant business growth. Focus on metrics, strategies employed, and how you worked with teams to execute projects successfully, ideally in contexts similar to Cognizant’s focus areas.

Detail your experience with cloud platforms such as Azure, AWS, or GCP. Explain how you utilized these platforms to deliver solutions or drive sales, providing examples of projects that highlight your relevant skills.

Your answer should reflect your commitment to continuous learning. Mention resources you use such as industry publications, events, and online courses. You could also discuss your networking practices with professionals in the field.

Explain your prioritization strategy, focusing on how you assess the potential revenue, urgency, and alignment with your company's strategic goals. Provide examples of how you've managed multiple projects effectively in the past.

Share a concrete example where you crafted and delivered a pitch that won over a client or led to a significant deal. Discuss the process, insights gleaned about the client’s needs, and how you tailored your message for impact.

List visualization tools like Power BI, Tableau, or QLIK that you are proficient with. Discuss how you have used these tools to analyze data and present findings to clients in an impactful manner.

Discuss your approach to objection handling, emphasizing your communication skills and empathy. Provide an example of a past experience where you successfully turned an objection into an opportunity to strengthen the client relationship.