Manager, Product Management

Mastercard

3.6

(14)

Gurugram, India

Why you should apply for a job to Mastercard:

  • 4.8/5 in supportive management
  • 71% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.

    #22331_R-258987

    Position summary

    hips to drive innovation and enable individuals, businesses, and governments to reach their full potential. Mastercard's culture is guided by its Decency Quotient (DQ), promoting integrity and sustainability in everything it does.


    Team: Optimization Solutions
    This team is focused on enhancing digital payment performance across products and regions. Key responsibilities include:
    • Monitoring digital performance metrics.
    • Delivering data-driven insights and business recommendations.
    • Collaborating with external stakeholders to implement optimization solutions.
    • Partnering across the organization to ensure alignment and action.


    Key Responsibilities
    • Develop and maintain advanced reporting and data visualization tools.
    • Build and deploy machine learning models to support product optimization and enablement.
    • Design AI systems and automate predictive models.
    • Perform data ingestion and processing on large-scale datasets.
    • Innovate with new tools and techniques to solve business problems.
    • Ensure AI solutions comply with data privacy and quality standards.
    • Collaborate with global stakeholders and technical teams to deploy solutions.
    • Promote scalable AI through reusable models and microservices.


    Candidate Profile
    Experience & Skills
    • 8+ years in Data Science with a focus on AI strategy and solution development.
    • Strong background in:
    oDeep learning algorithms and statistical tools (Python, R, SQL).
    oBig data platforms (Hadoop, Hive, Spark).
    oMachine learning techniques (Logistic Regression, Decision Trees, PCA, Time Series).
    oDeep learning frameworks (TensorFlow, Keras, PyTorch, XGBoost).
    • Familiarity with cybersecurity, fraud, and risk solutions is a plus.
    • Experience with collaboration tools (Confluence, Bitbucket, ALM).
    • Knowledge of the payments industry and SAFe (Scaled Agile Framework) is advantageous.
    Core Competencies
    • Strong problem-solving and analytical skills.
    • Excellent communication and project management abilities.
    • Ability to simplify complex AI concepts for stakeholders.
    • Passion for continuous learning and innovation.

    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.

    Why you should apply for a job to Mastercard:

  • 4.8/5 in supportive management
  • 71% say women are treated fairly and equally to men
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.