Director, Value Quantification, Product Data & Analytics

Mastercard; Viseu; Híbrido; EUR 120 000 - 170 000; Tempo integral

Resumo da oferta

Mastercard invites a Director of Value Quantification, Product Data & Analytics, to own data assets, models, and analytics that quantify the business impact of Mastercard's products and services. You will work with product, pricing, sales, and customer success to ensure rigorous measurement and storytelling.

You will drive analytics governance, ROI frameworks, and AI-enabled innovations, building scalable, enterprise-grade solutions that support revenue growth and customer value articulation.

Qualificações

• Experience designing, developing, and scaling data-driven tools and analytics products with measurable business impact.
• Proven ability to partner with cross-functional teams and translate business needs into scalable technical solutions.
• Strong leadership and mentoring skills with a collaborative, proactive style.
• Background in analytics, pricing strategy, or customer success; payments/financial services preferred.

Responsabilidades

• Define and lead the value quantification strategy across the product lifecycle and value measurement.
• Own and scale ROI frameworks and simulation tools for enterprise products and services.
• Drive productization of the value quantification platform with engineering partners.
• Enable value-based pricing and inform commercial decisions with cross-functional teams.
• Lead a high-performing team and foster a culture of innovation and accountability.
• Establish governance for data, models, and KPIs across the organization.

Conhecimentos

Big data platforms

Python

SQL

Analytical thinking

Leadership

Formação académica

BSc in Data Science / CS / Analytics / Economics / Finance

MBA or analytics certifications (preferred)

Ferramentas

Ozone/Cloudera Hadoop

AWS

Databricks

OneLake

SQL analytics

Descrição da oferta de emprego

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, Value Quantification, Product Data & Analytics

Overview

Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data-driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go-to-market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost-efficient manner.

As Director, Value Quantification, you will own the data, models, and analytics that power Mastercard's value quantification platform. You will be responsible for designing, building, and operationalizing scalable data assets, value models, and analytics tools that quantify the economic impact of Mastercard's products and services. This role partners closely with product, pricing, sales, and customer success teams to ensure value drivers are rigorously measured, consistently modeled, and embedded into enterprise platforms, enabling credible, data-driven value storytelling that drives customer adoption, revenue growth, and retention.

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
• Establish a single, governed source of truth for value analytics, ensuring consistency of data, models, and KPIs across the organisation
• Lead AI-enabled innovation in value modelling, improving predictive capabilities and automating insight generation
• Define governance and standards for model accuracy, auditability, and enterprise consistency
• Build and lead a high-performing team, fostering a culture of innovation, accountability, and measurable impact
• Deliver measurable business outcomes, driving revenue growth, pricing optimisation, and improved customer value articulation

Qualifications

Experience

• 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 financialservices or payments is strongly preferred.

Skills

• Strong technical expertise in modern data platforms and big-data ecosystems, including Ozone/Cloudera Hadoop, AWS, Databricks, OneLake, and SQL-based analytics across hybrid and cloud-adjacent architectures.
• Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex, multi-source datasets and operate effectively in ambiguous problem spaces.
• Solid technical acumen with the ability to design, review, and guide the implementation of advanced analytics, data models, and visualization solutions using Python, SQL, and BI tools.
• Deep understanding of value-based pricing, customer success enablement, and revenue optimization concepts, and how analytics supports commercial decision-making.
• Excellent communication and storytelling skills, with the ability to translate complex technical insights into clear, business-relevant narratives for both technical and non-technical audiences.
• Strong collaboration skills and a team-oriented mindset, with the ability to work effectively across product, engineering, sales, pricing, and customer success teams.

Education

• Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field.
• Advanced degrees (MBA, Master's, or certifications in analytics, data science) are preferred

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
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.