MastercardSenior Product Manager - Technical
Mastercard is hiring a Senior Product Manager - Technical in Pune, India. 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.
- The posting mentions product management, data engineering and data pipelines among its tools and skills.
- Level classes it as a senior role.
- Mastercard has 948 other open roles on Level.
AI in this role
Lead data engineering product development and optimize data pipelines and solutions to drive data-driven decision-making.
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 Product Manager - TechnicalOverview:We are seeking a talented and motivated Senior Product Manager - Technical to join our data engineering team. In this role, you will play a critical part in designing, developing, and optimizing data pipelines and solutions that enable efficient data processing and analysis. As a Senior Product Manager - Technical, you will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the continuous improvement of our data infrastructure.
As a Senior PMT, you will:
• Responsible for developing inspiring platform/product visions, derived from business needs, market opportunities, and technology trends
• Using the Working Backwards method, decomposes business requirements and customer experiences into features and functions that drive the platform/product roadmap
• Works with Technical Program Managers, Developers, and internal customers to define the details behind the business requirements
• Collects and shares user stories with engineering teams
• Acts as the voice of the business customer and accountable for the platform services
Responsibilities
• Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions
• Owns the working backwards document and vision for one or more features
• Elicits and decomposes business requirements into platform requirements and user stories
• Coordinates internal forums to collect and identify feature-level development opportunities
• Contributes near-term input (quarterly) for the platform product portfolio and roadmap, prioritizing the backlog while defining the acceptance criteria for user stories
• Recommends trade-off decisions on platform product features/depth of features/backlog items
• Uses runtime metrics of their services in market as a feedback loop in to the backlog and balances the priorities against new feature requests
• Owns and manages product documentation ensuring features and associated documentation are clear and easily consumable by other engineering teams
• Enables self-service support and/or works to reduce overhead
• Makes use of research, user studies, metrics and competitive analysis to understand the platform and business needs for a platform product and inform the backlog
• May participate with the business in customer research to inform platform product feature needs
• Coordinates with interdependent teams on platform product requirements
• Work with large datasets, ensuring data quality, accuracy, and performance
• Continuously monitors feature development at the feature level adjusting throughout implementation as needed
• Reviews product demo against acceptance criteria for the feature set
• Prepares launches and monitors platform performances, adoption, and operational health for feature sets
• Supports and participates in post-launch reviews and ensures feedback is reincorporated into the feature
• Stays aligned with GTM plans for the feature set
• Identifies issues that will keep the platform features from delivering on time and/or with the desired requirements and works with internal teams and customer service to identify, classify, and prioritize feature-level customer issues
• Mentors team members
• Assists with candidate selection and onboarding
All About You
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• In-depth understanding of data warehousing concepts, and data modeling techniques
• Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools
• Passion for and engagement with emerging trends in data, AI/ML, analytics, and digital experiences
• Experience in data product development, analytical models, and model governance
• Experience in anonymizing data and managing the use of data
• Experience in data hygiene procedures, identity resolution capabilities or data management a plus
• Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization
• Strong project management skills and a demonstrated ability to understand complex information product constructs
• Familiarity with industry best practices for collection and use of data
• Outstanding problem-solving skills and the ability to navigate complex data challenges
• Effective communication and collaboration skills to work with both technical and non-technical stakeholders
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 Product Manager - Technical at Mastercard rates 0 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 product management was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where backlog prioritization was part of your work. What did you do?
- Tell me about a project where working backwards was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Data Engineering, Data Pipelines, Backlog Prioritization, and Working Backwards. 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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