Mastercard

Mastercard

Director, Center for Inclusive Growth - Tech for Good

Purchase, New York, USA · Director · Part-time

Sponsorship not specified$164k-$271kDetected 1 day ago
PythonAlgorithmsMachine LearningData ScienceSASResearchLeadershipCommunicationPublic Speaking

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 52 green-card filings in this occupation, 92% were for a worker who already held the job.

Green-card follow-through: 100%

Of 36 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 481 days.92% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
  • The Center for Inclusive Growth is the social impact hub at Mastercard.
  • Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world.

Responsibilities

  • Build and maintain strong relationships with internal teams to build two-way roads to provide a social impact lens to business teams, and leveraging business expertise in service of the Center's mission
  • o Build internal coalitions and harness Mastercard's human capital and technology for social impact, working with Data for Good and Social Impact and other relevant teams to identify opportunities to leverage MA talent in support of the Center and its partners
  • Manage and advise on a diverse portfolio of grants and partnerships aligned with the Tech for Good strategy, while delivering strong outcomes and outputs.
  • o Work with the Center's Measurement & Evaluation lead on continuing to evolve the M&E frameworks and processes to drive towards data-driven decision-making
  • Advise on data-related research projects- supporting in defining the research objectives and working with Research & Insights as well as partner organizations on outputs
  • Manage the Center's proprietary tools, including product development with the vendors, overseeing the delivery to users, and managing marketing and thought leadership activities.
  • Support the data and AI maturity of the Center's grantees, working with the Global Programs team on the grantee engagement strategy, and leveraging internal and external partners to help advance organizational missions
  • Proven skills in visioning, planning and delivery of strategic analytical systems, products, applications and data to support a complex organization and ambitious social impact agenda
  • Proven ability to manage complex technical projects with cross-functional teams.

Requirements

  • Experience with philanthropic or nonprofit funding cycles and impact measurement
  • Master's degree in Computer Science, Data Science, Engineering, Public Policy, or a related field with 5+ years of experience in a relevant technical role. [preferred]

Compensation

  • In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions dependi

Benefits

  • Experience with machine learning methods and data mining, utilizing advanced analytical techniques, algorithms, and methodologies (Python, R, SAS, etc.) preferred
  • Scale the use and adoption of data, networks, technology, and AI for the digital transformation of social impact organizations (SIOs) focused on small business growth and financial health.
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.