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Mastercard

Product Manager - Technical II

Posted Yesterday
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Vancouver, BC
Mid level
Vancouver, BC
Mid level
The role involves managing technical product development within an Agile team, translating business requirements into features, conducting systems analysis, and enabling effective collaboration across stakeholders.
The summary above was generated by AI

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

Product Manager - Technical II

Who is Mastercard?
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. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. 
The Mastercard Way, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. 
Overview:
• The Decision Management program enables intelligent decision-based products through streaming analytics with the ability to govern these decisions and manage their outcomes with business agility.
• This program leverages business rules & AI engines, a streaming big data cluster, an in-memory data grids, APIs, & UIs to deliver real time decisions at global scale
We are looking for a Product Manager - Technical II to join our DMP team for the Decision Operations product in the Vancouver office.
Role Description:
• Act as the Product Manager Technical for your Agile development team, working closely with internal stakeholders to understand the business needs & requirements, and representing these back to your Agile team.
* Please note this is not a client-facing role. 
• Using the Working Backwards method, decomposes business requirements and customer experiences into features and functions that drive the platform/product roadmap. 
• Drive the technical business and systems analysis based on product requirements to detailed solution development. 
• Collaborate with your Agile development team(s) and system architects to understand the impact on gateway systems and agree the optimal functional solution for new product features.
• Run and manage agile process – grooming, planning, prioritization and retrospectives. 
• Anticipate bottlenecks, risk and dependencies. Adequately using agile practice to unblock, ROAM Risks and eliminate dependencies to create flow of work. 
• Schedule and coordinate releases aligning various teams
• Take an active role in the Planning process, preparing features for the planning event and working through these features with your team to plan their delivery. 
• Through team backlog grooming sessions and individual elaboration activity, define user stories that capture the functional requirements identified to meet the agreed solution. 
• Take responsibility for the prioritization of the team backlog and for accepting user stories on build completion. 
• Produce internal & external-facing supporting documentation using standard templates and natural language. 
All about you 
The ideal candidate for this position should: 
• Demonstrate the ability to complete technical systems analysis and solutioning. 
• Solid business analysis skills and knowledge are essential, i.e. the ability to take high level requirements and drill these down into detailed functional requirements under your own initiative 
• Demonstrate the ability to collaboratively design solutions that both enhance the product offering, and work within the design principles. 
• Comfortable working at a detailed level with interface specifications & doing related data mappings to and from APIs. 
• Ability to work collaboratively with development and business stakeholders within an Agile team. 
• Able to communicate effectively with both business & technical audiences. 
• Empowerment and accountability, demonstrating independent thinking and a collaboration mindset 
• Committed to deliver on time and to quality standards. 
• Willingness to learn and get stuck in with a passion of curiosity.
#AI3

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

Pay Ranges

Vancouver, Canada: $73,000 - $117,000 CAD

Top Skills

Agile Methodologies
Ai Engines
APIs
Big Data
Streaming Analytics

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