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Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
- Vice President, Product Management
- Data Platform
Overview:
The Vice President, Product Management is responsible for defining and delivering the product strategy, roadmap, and outcomes for an enterprise, cloud-native data platform that enables a federated data mesh across the organization. This platform serves as the foundation for analytics, AI/ML, data products, and data commercialization use cases at scale.
In this role, you will lead a portfolio of platform capabilities—including data ingestion, storage, processing, platform observability and Fin Ops—designed to empower domain teams to own and publish high-quality data products while maintaining enterprise-grade security, compliance, and reliability.
You will work closely with Engineering, Architecture, Product Operations, Finance, and Business stakeholders to ensure the platform enables self-service, scalability, and innovation while aligning with enterprise standards and strategic objectives.
Key Responsibilities:
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Product Strategy & Vision
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Define and evolve the product vision and strategy for the enterprise data platform supporting a federated data mesh.
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Articulate a clear target state for the platform, aligned to enterprise data, analytics, and AI strategies.
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Translate business and domain needs into scalable platform capabilities and services.
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Roadmap & Capability Ownership
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Own the platform product roadmap, including prioritization of capabilities such as:
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Data ingestion and integration (batch, streaming, source connectors)
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Data Lakehouse and analytical storage
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Orchestration framework (airflow patterns), transformation libraries, data contracts, etc.
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Platform SLOs, Reliability engineering, Usage analytics, etc.
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Cost attribution & chargeback (including forecasting)
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Balance near-term delivery with long-term architectural integrity and scalability.
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Data Mesh Enablement
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Enable domain teams to operate as data product owners by providing clear standards, tooling, and self-service capabilities.
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Partner with Data Governance to embed federated governance and policy enforcement into the platform.
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Ensure the platform reduces friction while maintaining enterprise guardrails.
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Cross-Functional Leadership
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Partner with Engineering to translate product requirements into executable technical plans.
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Collaborate with Product Operations on adoption, enablement, and customer experience.
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Work with Architecture, Security, Legal, and Risk teams to ensure platform compliance and resilience.
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Influence without direct authority across distributed, global teams.
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Delivery & Execution
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Ensure platform capabilities are delivered with a strong focus on quality, reliability, and readiness for enterprise-scale launch.
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Define success metrics and ensure outcomes align to business and platform goals.
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Drive continuous improvement through customer feedback, usage insights, and performance data.
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Stakeholder Engagement & Communication
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Serve as the primary product leader and evangelist for the data platform.
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Build strong relationships with senior executives and domain leaders.
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Communicate platform value, roadmap progress, and outcomes in clear, executive-ready language.
Skills & Experience:
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Required Qualifications
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Proven experience in Product Management, with significant experience leading enterprise platform products.
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Proven experience building or scaling cloud-native data platforms or large-scale analytics platforms.
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Deep understanding of data mesh concepts, including domain ownership, data products, federated governance, and self-service infrastructure.
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Experience with modern data technologies and ecosystems, such as:
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Cloud platforms (AWS, Azure, GCP)
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Lakehouse and analytics platforms (e.g., Databricks, Snowflake)
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Streaming, APIs, and event-driven architectures
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Strong analytical and systems-thinking skills.
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Preferred Qualifications
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Experience in highly regulated industries such as financial services, payments, or healthcare.
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Familiarity with AI/ML platforms and data-driven product development.
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Experience working in global, matrixed organizations.
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Leadership & Soft Skills
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Strategic thinker with a strong bias toward execution.
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Excellent communication and storytelling skills, including executive-level presentations.
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Ability to navigate ambiguity and drive alignment across diverse stakeholders.
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Strong people leadership experience, including mentoring and developing senior product managers.
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Customer-centric mindset with empathy for both technical and non-technical users.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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 depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
O'Fallon, Missouri: $204,000 - $326,000 USD
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応募クリック数
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模擬応募者数
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Mastercardについて

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
従業員数
Purchase
本社所在地
$360B
企業価値
レビュー
3.6
10件のレビュー
ワークライフバランス
4.1
報酬
3.4
企業文化
4.0
キャリア
2.3
経営陣
3.2
65%
友人に勧める
良い点
Good benefits and compensation
Collaborative environment and great colleagues
Supportive work-life balance
改善点
Limited career advancement opportunities
Management and leadership issues
Heavy workload and stress
給与レンジ
51件のデータ
L4
L5
L6
L7
L8
Director
L4 ·
0件のレポート
$363,151
年収総額
基本給
-
ストック
-
ボーナス
-
$308,678
$417,624
面接体験
7件の面接
難易度
3.3
/ 5
期間
14-28週間
内定率
29%
体験
ポジティブ 0%
普通 86%
ネガティブ 14%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Behavioral Interview
5
Final Round/Super Day
6
Offer Decision
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
ニュース&話題
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3d ago
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