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Mastercard

Sr. Specialist, Advertiser Product Development

Mastercard

Published 25 Mar 2026
Singapore
Full Time

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Role Highlights

Languages used

SQL

Key skills

Data Science
Data Engineer
Data Architect
Product Management
Product Development
Written Communication
SME
Information Security
Strategic Planning
Machine Learning
Forecasting
Modelling
Operations
Research
Testing
Prioritization
KPI
Optimization
AI
Agile
Architecture

Tools, Libraries and Frameworks

Power BI
Tableau
Flow
Jira
ADS

Description

\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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\\\\ Sr. Specialist, Advertiser Product Development Sr. Specialist, Advertiser Product Development Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Commerce Media team is looking for a Sr. Specialist, Product Development to drive delivery of innovative and sustainable Advertiser solutions that yield significant in year revenue and strategic long-term differentiation for Mastercard. The role: \- Contribute to the development of product concepts, prototypes, and features; independently owning and delivering key workstreams. \- Work with engineering and CX&D teams on a day-to-day basis to translate strategy into tangible development plans by writing product requirements, prioritizing key milestones and tracking progress with Engineering, TPMs and tech leads. \- Lead the strategy and roadmap for a wide range of Data, Reporting & ML capabilities, including technical components. Includes the delivery of new features as well as improvements to existing features. \- Purview for this role includes, but isnt limited to features that enable advertiser performance reporting, advertiser insights, budget forecasting, network health, propensity modeling, auction modeling and more, across both Card Linked Offers and Ads. \- Support GTM efforts by providing key data points to assist with the creation of collateral that highlights our value proposition. \- Act as a liaison between business units and technical teams, ensuring clarity and alignment throughout the product lifecycle. \- Navigate a matrixed & globally distributed organization to influence stakeholders and drive outcomes within tight timelines. \- Establish a network within the organization by building key relationships with Publisher team counterparts and various stakeholders across Sales, Ops, Legal, Privacy, Strategy, leadership, etc. \- Support the creation of business cases and strategic planning for individual product initiatives. \- Drive ideation for new-to-market product features and solutions through extensive internal/external research and workshops. All About You \- Extensive experience in product development, including partnering with Engineering teams, rapid opportunity assessment, concept creation, business model innovation, and global in-market testing. \- Deeply disciplined in product management process & tools including; discovery, planning, user journey mappings, prioritization, milestone creation/management, backlog/roadmap management, collaboration with CX & design, KPI measurement, optimization. \- Adept at taking really complicated manual operational tasks and automating them to improve workflow, productivity and the user journey. \- Proven ability to effectively define MVP for new product features while also elevating products from MVP to maturity for existing product features. \- Natural problem solver: analytical, curious, and fact-driven approach to product development. \- Collaborative team player: proven track record in collaborating with multiple cross-functional (both internal and external) teams across multiple locations; facilitating challenging conversations and managing ambiguity. \- Exceptional analytical, verbal, and written communication skills. \- Strong background in translating stakeholder needs into functional specifications, user journeys and process flows. \- Strategic thinker with strong technical acumen and hands-on experience collaborating with technical teams. \- Ability to manage priorities and delegate tasks effectively in a fast-paced environment. \- Familiarity with ML/AI concepts, including how predictive models and scoring systems are trained, validated, and operationalized. \- Experience with BI/analytics tools (e.g., Tableau, Power BI) and comfort defining dashboard requirements. \- Experience partnering closely with Data Science and Data Engineering teams on experimentation, forecasting, propensity modeling, or optimization workflows. \- Comfortable using SQL or similar tools to validate data, investigate edge cases, and support product discovery. \- Understanding of experimentation design (A/B tests, lift studies, incrementality approaches) and how insights influence product direction. Preferred Skills \- Prior experience in a PM role, or similar, working in agile environments. \- Background in AdTech or MarTech strongly preferred . \- Strong understanding of data architecture, data flow process and data pipelines. \- Experience building scalable systems with an understanding of data limitations. \- Proven history of creating process efficiency. \- Ideal candidates will be subject matter experts in Programmatic, Social or Digital buy or sell-side technologies and solutions. \- Must possess a deep understanding of Advertiser campaign objectives and translate those into specific product requirements and workflows across mediums such as Ads and/or Card Linked Offers. \- CTV and Video experience is a plus. \- Knowledge of tools like Jira and Monday.com. \\\\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 Mastercards security policies and practices; \\+ Ensure the confidentiality and integrity of the information being accessed; \\+ Report any suspected information security violation or breach, and \\+ Complete all periodic mandatory security trainings in accordance with Mastercards guidelines.

Required Qualifications and Skills

The role requires extensive experience in product development, including partnering with engineering teams, opportunity assessment, concept creation, business model innovation, and global in-market testing. A disciplined approach to product management processes and tools is necessary, covering discovery, planning, user journey mapping, prioritization, milestone and backlog management, KPI measurement, and optimization. The candidate must be adept at automating manual operational tasks to improve workflow and productivity. A proven ability to define MVPs and elevate existing products is also required. The position necessitates strong analytical, verbal, and written communication skills, with a background in translating stakeholder needs into functional specifications, user journeys, and process flows. Strategic thinking with technical acumen and hands-on experience collaborating with technical teams is essential, as is the ability to manage priorities and delegate tasks effectively in a fast-paced environment. Familiarity with ML/AI concepts, including predictive models and scoring systems, is expected, along with experience in BI/analytics tools and partnering with Data Science and Data Engineering teams on experimentation, forecasting, propensity modeling, or optimization workflows. Comfort using SQL for data validation and investigation is also a requirement.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Mastercard

Size

38185

HQ

Purchase, US

Description

MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.

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