Description
Mastercard is seeking a strategic and highly collaborative Director, Data Analytics to lead an integrated organization spanning Data Science, Data Architecture & Engineering, and Reporting & Insights.
The Director 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.
Key responsibilities:
- Lead, coach, and develop the leaders responsible for Data Science, Data Architecture & Engineering, and Reporting & Insights
- 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
- 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
- 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
- Build a diverse, inclusive, and high-performing global team
- Stay current on emerging data, analytics, AI, and reporting technologies, applying relevant innovations to improve team productivity, solution quality, and business impact
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
- 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
- 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
- Proven ability to develop leaders, build inclusive teams, manage organizational change, and create a culture of accountability, innovation, and continuous improvement
Benefits:
- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- Flexible spending account and health savings account
- Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 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