MastercardSenior Specialist, Product Operations, Services
Mastercard is hiring a Senior Specialist, Product Operations, Services. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include portfolio analysis, data analysis and product operations.
- Level classifies it as a senior role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted within the past week.
AI in this role
Senior product operations specialist responsible for portfolio analysis, customer success insights, and strategic reporting for Security Solutions.
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
Senior Specialist, Product Operations, ServicesOverviewMastercard Security Solutions is accelerating its next phase of growth by optimizing its portfolio, strengthening customer-centric value propositions, and embedding data-driven insights into strategic decision-making. This role will transform complex portfolio, regional, and customer success insights into actionable growth strategies and executive level reporting. This focus aligns closely with Security Solutions' broader emphasis on portfolio optimization, competitive differentiation, Voice of Customer integration, and strategic growth initiatives.
Role
Help drive organizational performance and support our Security Solutions business in achieving the Services and MA organization's business goals. Work closely with finance and strategy partners, ensuring we operate efficiently and effectively. Roles in this family conduct portfolio research, business performance analysis, and reporting activities in relation to business priorities and investment areas; prepare analytical observations regarding product portfolios and operational processes; and support head office through reporting, monitoring, and information-sharing activities.
Key Responsibilities
• Lead portfolio overlap, whitespace, adjacency, and greenfield opportunity analyses to identify areas for expansion, rationalization, and investment prioritization.
• Develop data-driven recommendations to optimize portfolio performance, and support head office-led portfolio assessments, customer insight reporting, and strategic analysis.
• Analyze Customer Success data to identify opt-in, expansion, retention, adoption, and churn trends, and prepare analytical reports and recommendations for consideration by head office.
• Conduct competitive, regulatory, and market assessments using regional insights to identify emerging opportunities, risks, and strategic gaps.
• Partner with Product Management teams to provide market research, benchmarking, customer insight analysis, and portfolio assessments related to product positioning and customer needs.
• Identify, document, and report best practices across regions, customer segments, and industry verticals.
• Build stronger connections between regional and global teams, facilitating communication and information sharing between teams and providing customer, market, and field insights for consideration by head office in connection with product strategy and roadmap decisions.
• Support strategic initiatives and market assessments in emerging areas including Agentic AI, Crypto, Digital Identity, and Trust technologies.
• Partner with acquisitions and business units to identify opportunities for portfolio integration, benchmarking, and analytical assessment of business opportunities.
• Conduct deep-dive analyses on strategic growth initiatives, innovation priorities, and Security Solutions "Big Bets."
• Develop executive dashboards, scorecards, presentations, and strategic narratives to support leadership decision-making.
• Create analytical reports, presentations, and information-sharing materials and topic-specific reports that translate complex findings into observations and strategic insights for head office review and decision-making.
• Establish analytical frameworks, KPIs, and measurement methodologies to evaluate portfolio performance, customer value, and growth opportunities for internal reporting and analytical purposes.
• Support annual planning, portfolio reviews, business performance assessments, and strategic priority-setting activities through analytical, reporting, and coordination support provided to head office.
All About You
• Experience in strategy, portfolio management, product management, business intelligence, consulting, analytics, or a related field.
• Strong analytical and problem-solving skills with the ability to synthesize large, complex datasets into executive-level insights and recommendations.
• Demonstrated experience conducting portfolio analyses, growth assessments, customer analytics, market research, or strategic analytical and business planning support activities.
• Ability to connect customer, financial, operational, and market data to identify relevant trends, risks, opportunities, and analytical insights for management review.
• Exceptional storytelling and communication skills with experience creating executive-ready presentations, dashboards, and strategic narratives.
• Strong understanding of SaaS, software, cybersecurity, fraud, identity, risk, or technology-driven solution portfolios.
• Experience working across global, regional, and cross-functional teams in matrixed organizations.
• Proven ability to communicate effectively with stakeholders and support alignment without direct authority.
• Comfort operating in ambiguous environments and translating evolving business needs into structured analytical frameworks.
• Experience with business intelligence and visualization tools such as Power BI, Tableau, SQL, Excel, or similar platforms.
• Knowledge of customer lifecycle metrics, adoption analytics, retention modeling, and business analysis and market assessment methodologies.
• Intellectual curiosity and enthusiasm for emerging technologies, including AI, Agentic AI, Digital Identity, Trust, Risk, and Crypto ecosystems.
• Self-starter with strong project management skills and the ability to manage multiple priorities in a fast-paced environment.
• Bachelor's degree required, advanced degree in Business, Economics, Analytics, Engineering, or a related field preferred.
Preferred Qualifications
• Experience within payments, fintech, cybersecurity, fraud prevention, identity, or data and analytics businesses.
• Experience supporting executive leadership, business reviews, strategic planning, or investment prioritization exercises.
• Familiarity with Voice of Customer programs, competitive intelligence, market assessment and product portfolio analysis, and portfolio optimization frameworks.
• Experience evaluating new market opportunities and business cases for emerging technologies and strategic growth initiatives.
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.
How we rate this
Senior Specialist, Product Operations, Services at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where portfolio analysis was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where product operations was part of your work. What did you do?
- Tell me about a project where market research was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Portfolio Analysis, Data Analysis, Product Operations, Market Research, and Reporting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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