Director, Data Analytics

Mastercard•O'fallon, MO
•$142,000 - $234,000•Onsite

About The Position

The Global Business Solutions Center (GBSC) Operational Excellence & Enablement organization advances enterprise performance by combining data, technology, analytics, and operational expertise. The team partners across GBSC and its stakeholders to establish trusted data foundations, develop forward-looking insights, and create scalable reporting capabilities that improve decision-making, operational visibility, and business outcomes. We are seeking a strategic and highly collaborative Director, Data Analytics to lead an integrated organization spanning Data Science, Data Architecture & Engineering, and Reporting & Insights. This leader will provide end-to-end accountability for the data and insights value chain, from architecture and data products through advanced analytics, reporting, and executive storytelling. The Director will translate business priorities into a cohesive data strategy, build durable capabilities, and ensure that solutions are trusted, scalable, governed, and connected to measurable business value. This role is designed for an enterprise-minded leader who can set direction, develop talent, simplify complexity, and move the organization from fragmented reporting toward proactive, predictive, and decision-oriented insights.

Requirements

  • Undergraduate degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, Business, Finance, or a related field; advanced degree preferred.
  • Experience leading multidisciplinary data and analytics organizations, including leaders and teams across data science, data engineering or architecture, and business intelligence or reporting.
  • Proven record of setting and executing enterprise data and analytics strategies that deliver measurable business outcomes.
  • Strong understanding of modern data platforms, cloud architecture, data engineering, semantic modeling, business intelligence, advanced analytics, AI, and model lifecycle practices.
  • Experience establishing data, analytics, and reporting standards, including data quality, governance, security, privacy, documentation, controls, and responsible AI practices.
  • Ability to evaluate and prioritize a broad portfolio of opportunities, make clear trade-offs, and align resources to the highest-value outcomes.
  • Strong consulting and stakeholder-management skills, including experience influencing senior leaders and leading through ambiguity in a matrixed, global environment.
  • Proven ability to develop leaders, build inclusive teams, manage organizational change, and create a culture of accountability, innovation, and continuous improvement.
  • Experience delivering scalable data products and insights capabilities from concept through adoption, with disciplined measurement of value and user impact.

Responsibilities

  • Lead, coach, and develop the leaders responsible for Data Science, Data Architecture & Engineering, and Reporting & Insights, establishing clear accountability, priorities, operating rhythms, and performance expectations across the organization.
  • Define and execute a unified data and insights strategy aligned with GBSC Operational Excellence & Enablement priorities and the evolving needs of business stakeholders.
  • Own the end-to-end portfolio of data, analytics, and reporting initiatives to support operational excellence, balancing foundational investments, strategic use cases, regulatory and control requirements, and near-term business value.
  • Partner with functional leaders to translate ambiguous business challenges into clear data products, analytical use cases, reporting solutions, and decision-support capabilities.
  • Guide the design of scalable data architecture, engineering pipelines, semantic models, and reusable data products that improve data quality, accessibility, interoperability, and speed to insight.
  • Advance the organization from descriptive reporting toward diagnostic, predictive, and prescriptive insights through responsible application of statistical methods, machine learning, artificial intelligence, and automation.
  • Create and enforce standards for data quality, solution design, development, testing, documentation, deployment, monitoring, and lifecycle management in partnership with technology, risk, privacy, security, and governance teams.
  • Build a diverse, inclusive, and high-performing global team by strengthening succession plans, technical depth, leadership capability, and career pathways across all three disciplines.
  • Stay current on emerging data, analytics, AI, and reporting technologies, applying relevant innovations to improve team productivity, solution quality, and business impact.

Benefits

  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • 16 weeks of new parent leave
  • up to 20 days of bereavement leave
  • 80 hours of Paid Sick and Safe Time
  • 25 days of vacation time
  • 5 personal days
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • deferred compensation for eligible roles
  • fitness reimbursement or on-site fitness facilities
  • eligibility for tuition reimbursement
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