Mastercard

Mastercard

Specialist, Product Management, Data Provider Solutions (Open Finance)

Purchase, New York, USA · Part-time

Sponsorship not specified$95k-$158kDetected 5 hours ago
Agentic AIProduct StrategyResearchCommunicationPublic Speaking

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$87,2561 entry
Level II$115,8352 entries
Level III$144,4143 entries
Level IV$172,9944 entries

$20,835 more — $115,835 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $115,835 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

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.

Community outcomes

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About the role

  • Analyze data and customer insights to uncover opportunities and help shape product strategy and recommendations.
  • Technical curiosity and systems thinking, with an interest in understanding how data, APIs, platforms, and interconnected technologies work together.

Responsibilities

  • Independently drive product development initiatives, including technically complex products, from concept through execution.
  • Collaborate cross-functionally across Product, Engineering, Sales, and other teams to build alignment and drive initiatives forward.
  • Engage with financial institutions and design partners to understand needs, validate concepts, and inform product development and commercialization.
  • As a Specialist in Data Provider Solutions, you will help explore and develop the next generation of provider-facing products and capabilities.
  • This is an opportunity for an intellectually curious and innovation-minded professional to develop broad product experience while helping shape new connectivity models, intelligence products, and other emerging areas of Open Finance.
  • Support new product development, translating partner/customer needs and market opportunities into product concepts, requirements, and solutions.
  • Research the market and broader Open Finance ecosystem to identify evolving partner/customer needs, competitive trends, and opportunities for new products and capabilities.
  • Strong analytical skills with the ability to interpret data, identify patterns, and develop meaningful insights.
  • Commercial mindset with an ability to recognize how new products and capabilities can create value for customers and the business.

Requirements

  • Product-oriented and intellectually curious, with an ability to understand customer problems, navigate ambiguity, and think creatively about potential solutions.

Nice to have

  • Interest in financial services, fintech, AI agents, data, or Open Finance
  • prior product management or industry experience is 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

This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.