
Global payments and technology company
Director – AI Strategy & Product Management (Agentic AI)
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
Director – AI Strategy & Product Management (Agentic AI)
Director – AI Strategy & Product Management (Agentic AI)
Operational Intelligence | Mastercard Services
Location: Pune / Gurgaon | Level: Director (L5)
Overview:
Mastercard’s Operational Intelligence (OI) team is building agentic AI and LLM-driven platforms to transform payment operations.
We are hiring a Director – AI Strategy & Product Management to lead strategy, product development, UX, and execution of enterprise AI products, including multi-agent systems, decision platforms, and autonomous workflows.
This is a hands-on 0→1 leadership role evolving into team and program leadership at scale.
Key Responsibilities:
- AI Strategy & Product Leadership
- Define agentic AI strategy and roadmap across OI
- Own 0→1→scale lifecycle (PRD → MVP → Production)
- Deliver AI products across reconciliation, disputes, and operations
- Agentic Systems & Architecture Alignment
- Define product requirements for:
o Multi-agent systems (Lang Graph, Lang Chain, etc.)
o Stateful workflows, guardrails, and HITL - Partner with engineering on LLMs, RAG, Graph RAG, and MCP-based systems
- Agentic UI/UX Design
- Design beyond chat UX:
o Structured workflows, dashboards, and controls - Build:
o Trust layer (explainability, transparency)
o Control layer (HITL, overrides)
o Observability layer (agent actions, traces)
- Program Office & Portfolio Management
- Establish and lead AI Program Office (PMO)
- Manage portfolio of AI products, platforms, and initiatives
- Drive prioritization, capacity planning, and executive reporting
- POC & Experimentation Leadership
- Lead POC → MVP → Production pipeline
- Define success metrics (business + technical)
- Ensure scalable design and avoid “POC traps”
- Data, Models & Platform Integration
- Drive integration of:
o LLMs (GPT, Claude, LLaMA, etc.)
o Enterprise data platforms - Define requirements for:
o Retrieval (vector + graph)
o Memory systems (short/long-term, semantic, graph)
- Observability, Governance & Evaluation
- Define frameworks for:
o Agent observability (Agent Ops)
o Evaluation (accuracy, grounding, latency)
o Responsible AI and compliance
- Business Impact & GTM
- Partner with engineering and commercial teams
- Drive product adoption, monetization, and ROI
- Track automation, cost savings, and revenue uplift
Qualifications:
- 12–15+ years in AI/ML product management or technical strategy
- Proven experience building AI/GenAI products (0→1→scale)
- Strong understanding of:
o LLMs, RAG, Graph RAG, agentic systems - Experience working closely with engineering on scalable platforms
Preferred: Payments, fintech, or operational intelligence experience
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:
-
Abide by Mastercard’s security policies and practices;
-
Ensure the confidentiality and integrity of the information being accessed;
-
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.
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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
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
4.1
企業文化
4.2
キャリア
3.4
経営陣
3.1
72%
知人への推奨率
良い点
Great team culture and supportive colleagues
Excellent benefits and compensation
Training and development opportunities
改善点
Work-life balance challenges and long hours
High pressure and stress during peak times
Management issues and lack of direction
給与レンジ
51件のデータ
L6
L7
L8
Director
L4
L5
L6 ·
0件のレポート
$201,675
年収総額
基本給
-
ストック
-
ボーナス
-
$171,424
$231,926
面接レビュー
レビュー3件
難易度
3.3
/ 5
期間
14-28週間
内定率
33%
体験
ポジティブ 33%
普通 34%
ネガティブ 33%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Super Day/Final Round
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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