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Mastercard

Processes payments across a global network

Managing Consultant - Services Business Development, Analytics

Account ExecutiveConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • An undergraduate degree in Statistics, Economics, Engineering, Computer Science, AI, or Data Science is required.
  • At least 10 years of experience in management consulting, technology advisory, or relevant data and AI industry roles, with a track record of measurable outcomes.
  • Ability to independently initiate, develop, and close complex, multi-stakeholder sales engagements across diverse industries.
  • Hands-on advisory expertise across Data Strategy and Governance, Advanced Analytics, Generative AI, Data Engineering, MLOps, and Cloud-enabled AI solutions.
  • In-depth knowledge of Generative AI technologies and trends, and ability to translate technical concepts into commercially relevant business applications.
  • Understanding of Data Engineering principles, including data pipelines, lakehouses, and data mesh architectures, and 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.
  • Understanding of AWS, Azure, and GCP and their roles in scalable enterprise AI and data solutions.
  • Expertise in Data Strategy, including data governance, data product design, and analytics-driven decision-making frameworks.
  • Advanced analytical skills, including business-case construction, ROI analysis, and financial framing of complex opportunities.
  • Ability to work across multiple internal stakeholders and subject matter experts in a fast-paced, deadline-driven environment.
  • Verbal and written communication skills, including creating high-impact presentations and written deliverables for C-suite and technical audiences.
  • Advanced proficiency in Microsoft Word, Excel, and PowerPoint.

Responsibilities

  • Lead consultative sales engagements and strategic client development initiatives across Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud capabilities across industry verticals in West Arabia.
  • Meet sales targets by identifying, qualifying, and closing new business opportunities while nurturing senior client relationships.
  • Contribute to deal bids and RFP responses by preparing differentiated proposals aligned with client objectives and market context.
  • Build and maintain a business pipeline through prospecting, networking, and thought leadership in the West Arabia market.
  • Build relationships with C-suite and senior executives and understand explicit requests and underlying business needs across industries.
  • Analyze and prioritize complex business problems to define commercially grounded objectives and solution pathways.
  • Develop structured analytical approaches and testable hypotheses for large-scale engagements across data, AI, and digital domains.
  • Frame opportunities financially through value quantification, ROI projections, and business-case rationale.
  • Design and lead sales pitches and executive presentations from storyboarding through delivery.
  • Create proposals, points of view, and solution briefs tailored to technical teams and board stakeholders.
  • Collaborate with delivery and solution teams to transition sales to execution and maintain accountability for client outcomes.
  • Design integrated, industry-agnostic solutions combining Analytics, Generative AI, Data Strategy, Data Engineering, MLOps, and Cloud.
  • Organize training sessions, conceptualize new solutions, and expand the regional solution suite to reflect emerging market needs.
  • Author articles, blogs, and whitepapers on AI, data, and analytics trends relevant to West Africa and the 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.
  • Leverage expertise across Analytics, AI, Data Strategy, Data Engineering, MLOps, and Cloud to design and position integrated end-to-end client solutions.
  • Collaborate with global and regional capability teams to adapt and enhance solution offerings as market demands and technology trends evolve.
  • Partner with cloud providers, AI platform vendors, and data infrastructure providers to develop joint go-to-market propositions.
  • Abide by Mastercard security policies and practices.
  • Ensure the confidentiality and integrity of accessed information.
  • Report suspected information security violations or breaches.
  • Complete periodic mandatory security trainings in accordance with Mastercard guidelines.

Desired Qualifications

  • An MBA or relevant postgraduate degree is recommended.
  • Professional certifications in cloud platforms such as AWS, Azure, or GCP, or in AI/ML frameworks are an advantage.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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