Managing Consultant, Services Business Development, Analytics
Mastercard is hiring a Managing Consultant, Services Business Development, Analytics in Riyadh, Saudi Arabia. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this sales role Little AI ●○○○: aI is not part of the work.
- The posting mentions MLOps, business development and analytics among its tools and skills.
- Level classes it as a senior role.
- Mastercard has 1,000+ other open roles on Level.
AI in this role
Drive sales engagements and strategic client development for professional services spanning analytics, AI, and data strategy.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Managing Consultant, Services Business Development, AnalyticsOverviewOur professional services practice specializes in delivering data-driven consulting, AI and analytics solutions, data strategy advisory, and digital transformation programs to clients across all industries. Leveraging deep domain expertise, advanced technology capabilities, and a proven track record of solving complex business challenges, we drive measurable value for our clients and strengthen our position as a market leader in the West Arabia region.
Description and Major Responsibilities
Drive Sales Engagements
•Lead consultative sales engagements and strategic client development initiatives spanning Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud capabilities across all industry verticals in West Arabia
•Deliver against sales targets by identifying, qualifying, and closing new business opportunities while nurturing long-term senior client relationships
•Contribute actively to deal bids and RFP responses, ensuring high-quality, differentiated proposals aligned with client objectives and market context
•Build and maintain a robust pipeline through proactive prospecting, networking, and thought leadership positioning in the West Arabia market
Client Needs Analysis & Problem Structuring
•Build trusted relationships with C-suite and senior executives by developing a deep understanding of both explicit requests and underlying business needs across diverse industries
•Analyze and prioritize critical aspects of complex, ambiguous business problems to define clear, commercially grounded objectives and solution pathways
•Develop structured analytical approaches and testable hypotheses for large-scale, multi-dimensional engagements spanning data, AI, and digital domains
•Frame client opportunities in financial terms, articulating value quantification, ROI projections, and business case rationale to accelerate decision-making
Sales Pitch Development & Client Communication
•Design and lead compelling sales pitches and executive presentations, from initial storyboarding through to high-impact face-to-face delivery
•Craft succinct, persuasive written deliverables — proposals, points of view, solution briefs — tailored to varied audience levels from technical teams to board stakeholders
•Collaborate with cross-functional delivery and solution teams to ensure seamless transitions from sales to execution, maintaining accountability for client outcomes
Innovative Solution Design & Thought Leadership
•Design integrated, industry-agnostic solutions combining Analytics, Generative AI, Data Strategy, Data Engineering, MLOps, and Cloud to address complex client challenges
•Drive internal knowledge management by organizing training sessions, conceptualizing new solutions, and expanding the regional solution suite to reflect emerging market needs
•Author thought-provoking articles, blogs, and whitepapers on emerging AI, data, and analytics trends relevant to the West Africa and broader MENA market
•Represent the practice at industry events, conferences, and client forums to elevate brand presence and generate business development opportunities in West Arabia
Capability Integration & Ecosystem Collaboration
•Leverage deep expertise across Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud to design and position end-to-end, integrated solutions for clients
•Collaborate with global and regional capability teams to continuously adapt and enhance solution offerings in response to evolving market demands and technology trends
•Partner with alliance and technology ecosystem partners (cloud providers, AI platform vendors, data infrastructure providers) to develop joint go-to-market propositions
All About You
Education
•Undergraduate degree in Statistics, Economics, Engineering, Computer Science, AI, or Data Science field required
•MBA or relevant postgraduate degree recommended
•Professional certifications in Cloud platforms (AWS, Azure, GCP) or AI/ML frameworks are a strong advantage
Experience & Skills
•10+ years of demonstrated experience in management consulting, technology advisory, or relevant data and AI industry roles, with a strong track record of delivering impactful, measurable outcomes
•Proven ability to independently initiate, develop, and close complex, multi-stakeholder sales engagements across diverse industries
•Analytics and AI domain expert with hands-on advisory experience across the full spectrum: Data Strategy & Governance, Advanced Analytics, Generative AI, Data Engineering, MLOps, and Cloud-enabled AI solutions
•In-depth knowledge of Generative AI technologies and trends, with the ability to translate technical concepts into compelling, commercially relevant business applications
•Strong understanding of Data Engineering principles — data pipelines, lakehouses, data mesh architectures — and the ability to position and sell these capabilities to business and technical audiences
•Familiarity with MLOps practices including model deployment, monitoring, retraining, and AI productionization, sufficient to lead advisory conversations and shape client engagements
•Solid understanding of major cloud platforms (AWS, Azure, GCP) and their role in enabling scalable, enterprise-grade AI and data solutions
•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, conduct ROI analysis, and frame complex opportunities in financial terms
•Strong ability to work across multiple internal stakeholders and subject matter experts in a fast-paced, deadline-driven environment
•Excellent verbal and written communication skills, with a proven ability to create high-impact presentations and written deliverables tailored to C-suite and technical audiences alike
•Advanced proficiency in Microsoft Word, Excel, and PowerPoint for creating data-driven deliverables and executive presentations
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
How we rate this
Managing Consultant, Services Business Development, Analytics at Mastercard rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $138k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where business development was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where ai solutions was part of your work. What did you do?
- Tell me about a project where data strategy was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Business Development, Analytics, AI Solutions, and Data Strategy. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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