Senior Specialist, Product Management

Mastercard • Toronto, ON

1d • CA$94,000 - CA$138,000

About The Position

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. The Identity organization develops data-driven platforms and products that enable authentication, fraud detection, and identity intelligence across Mastercard’s global network. This role supports the engineering and product teams to build foundational capabilities that power these solutions. This role supports product development by enabling rapid, data-driven decision-making through analysis, experimentation, and data exploration. The position focuses on answering critical product questions, evaluating product opportunities, and quantifying value to ensure teams are building the highest-impact capabilities.

Requirements

• Previous experience as a data scientist, engineer, or data analyst
• Strong proficiency in PySpark / Spark Scala and distributed data processing
• Experience with AWS infrastructure and data platforms (S3, EC2, or similar)
• Advanced experience with SQL and Python for data analysis
• Experience using Databricks and notebook-based workflows
• Solid understanding of statistics and experiment design
• Ability to analyze large, complex, and interdependent datasets and understand system-level relationships
• Experience designing analyses or experiments to support product/business decision-making
• Ability to generate clear, actionable recommendations based on data insights
• Strong technical foundation and ability to independently write and validate code; candidates must demonstrate depth of understanding in their analyses
• Strong communication skills, with the ability to translate technical results into business recommendations to mixed technical and non-technical audiences
• Ability to manage multiple concurrent projects and deliver on deadlines
• Self-starter with strong curiosity, initiative, and willingness to ask questions
• Experience establishing new, replicable, and organized processes in data pipelines and analyses
• Experience working in product-driven environments, partnering with Product Managers and Engineering teams

Nice To Haves

• Familiarity with data visualization tools such as Tableau or Microsoft BI
• Experience in payments, identity, fraud, or financial services
• Familiarity with graph databases or graph-based data models
• Experience building reusable datasets, pipelines, or executive-level reporting
• Experience with observability and application performance monitoring platforms (Dynatrace, Grafana, or similar)

Responsibilities

• Supports product development by enabling rapid, data-driven decision-making through analysis, experimentation, and data exploration.
• Answers critical product questions, evaluates product opportunities, and quantifies value to ensure teams are building the highest-impact capabilities.
• Partners closely with Product Managers to design analyses and experiments that test product hypotheses and inform engineering and product decisions.
• Analyzes complex, interconnected datasets, develops structured experiments, and generates insights that guide product direction, particularly in areas such as fraud outcomes, data enrichment value, and cost optimization.
• Initially focused on analyzing existing data, the role will ultimately include building datasets, developing pipelines, and creating repeatable reporting processes to support ongoing product evaluation.
• Works across multiple concurrent analyses, supports ongoing initiatives, and contributes recommendations that influence product strategy.
• Translates business questions into structured analyses and testable hypotheses.
• Contributes to cost optimization, value quantification, or performance analysis initiatives.
• Uses AI tools to improve efficiency while maintaining full ownership, explainability, and rigor in outputs.

Benefits

• Competitive pay based on location, experience and other qualifications for the role
• May be eligible to participate in a discretionary annual incentive program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed