Mastercard

1 month ago

Director, Value Quantification, Product Data & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead data, models, and analytics powering Mastercard's value quantification platform. Design, build, and operationalize scalable data assets and value models to quantify the economic impact of Mastercard products, partnering with product, pricing, sales, and customer success to drive adoption, revenue growth, and customer value articulation.

Location: Lisbon

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Director level

Key Responsibilities

•Define and lead the value quantification strategy across the product lifecycle, embedding consistent ROI and value measurement into product, pricing, sales, and customer success
•Own and scale value models and analytics assets, including ROI frameworks and simulation tools, ensuring robustness, transparency, and adaptability
•Drive productization of the value quantification platform, partnering with engineering to deliver scalable, automated, enterprise‑grade solutions
•Enable value‑based pricing and commercial decisions through close partnership with pricing, finance, and product teams
•Drive cross‑functional adoption, working with services, product, sales, and customer success to embed value quantification into workflows and strengthen value storytelling

Key Requirements

•Experience designing, developing, and scaling data‑driven tools, frameworks, and analytics products with clear, measurable business outcomes, including value quantification, pricing, or customer impact use cases.
•Demonstrated success partnering with cross‑functional teams, including Sales, Marketing, Product, and Customer Service Center leads, translating business strategy and requirements into scalable technical solutions, and communicating outcomes and trade‑offs effectively.
•Strong leadership skills with a passion for mentoring and developing a high‑performing team, and the ability to foster a culture of collaboration, innovation, and continuous learning while ensuring alignment with business goals.
•Background in analytics, data science, pricing strategy, customer success, or related fields; experience in financial services or payments is strongly preferred.
•Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field; advanced degrees preferred.

Experience:Financial servicesPaymentsData analyticsPricingCustomer successRevenue optimization

Education:Bachelor's

Skills:CommunicationLeadershipStorytellingCollaborationProblem-solving

Tech Stack:Ozone/Cloudera HadoopAWSDatabricksOneLakeSQLPythonBI tools

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Director, Value Quantification, Product Data & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Lisbon

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Director level

Key Responsibilities

•Define and lead the value quantification strategy across the product lifecycle, embedding consistent ROI and value measurement into product, pricing, sales, and customer success
•Own and scale value models and analytics assets, including ROI frameworks and simulation tools, ensuring robustness, transparency, and adaptability
•Drive productization of the value quantification platform, partnering with engineering to deliver scalable, automated, enterprise‑grade solutions
•Enable value‑based pricing and commercial decisions through close partnership with pricing, finance, and product teams
•Drive cross‑functional adoption, working with services, product, sales, and customer success to embed value quantification into workflows and strengthen value storytelling

Key Requirements

•Experience designing, developing, and scaling data‑driven tools, frameworks, and analytics products with clear, measurable business outcomes, including value quantification, pricing, or customer impact use cases.
•Demonstrated success partnering with cross‑functional teams, including Sales, Marketing, Product, and Customer Service Center leads, translating business strategy and requirements into scalable technical solutions, and communicating outcomes and trade‑offs effectively.
•Strong leadership skills with a passion for mentoring and developing a high‑performing team, and the ability to foster a culture of collaboration, innovation, and continuous learning while ensuring alignment with business goals.
•Background in analytics, data science, pricing strategy, customer success, or related fields; experience in financial services or payments is strongly preferred.
•Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field; advanced degrees preferred.

Experience:Financial servicesPaymentsData analyticsPricingCustomer successRevenue optimization

Education:Bachelor's

Skills:CommunicationLeadershipStorytellingCollaborationProblem-solving

Tech Stack:Ozone/Cloudera HadoopAWSDatabricksOneLakeSQLPythonBI tools

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor