Description
Mastercard's professional services practice specializes in delivering data-driven consulting, AI, and analytics solutions to clients across all industries.
As a Managing Consultant, Services Business Development, Analytics, you will drive sales engagements, lead consultative sales initiatives, and deliver against sales targets.
Key responsibilities include:
- Leading consultative sales engagements and strategic client development initiatives
- Delivering against sales targets by identifying, qualifying, and closing new business opportunities
- Building and maintaining a robust pipeline through proactive prospecting, networking, and thought leadership positioning
- Analyzing and prioritizing critical aspects of complex business problems to define clear objectives and solution pathways
- Designing and leading compelling sales pitches and executive presentations
- Collaborating with cross-functional delivery and solution teams to ensure seamless transitions from sales to execution
- Developing structured analytical approaches and testable hypotheses for large-scale engagements
- Framing client opportunities in financial terms, articulating value quantification, ROI projections, and business case rationale
Requirements:
- Undergraduate degree in Statistics, Economics, Engineering, Computer Science, AI, or Data Science field required
- MBA or relevant postgraduate degree recommended
- 10+ years of demonstrated experience in management consulting, technology advisory, or relevant data and AI industry roles
- Proven ability to independently initiate, develop, and close complex sales engagements
- Analytics and AI domain expert with hands-on advisory experience
- In-depth knowledge of Generative AI technologies and trends
- Strong understanding of Data Engineering principles and MLOps practices
- Solid understanding of major cloud platforms (AWS, Azure, GCP)
- Expertise in Data Strategy, including data governance, data product design, and analytics-driven decision-making frameworks
- Advanced analytical skills with the ability to construct business cases and conduct ROI analysis
- Excellent verbal and written communication skills
Nice to have:
- Professional certifications in Cloud platforms (AWS, Azure, GCP) or AI/ML frameworks
- Familiarity with MLOps practices, including model deployment, monitoring, retraining, and AI productionization