Senior Technical Program Manager

Mastercard

3.5

(13)

O'Fallon, MO

Why you should apply for a job to Mastercard:

  • 4.7/5 in supportive management
  • 69% 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-222356

    Position summary

    Analytics team, you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
    You will have the opportunity to develop data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.
    Your Role
    • Drive the evolution of Data & Services products/platform with an impact focused on data science and engineering
    • Participate in development of data and analytic infrastructure for product development
    • Collaborate with the Product dev teams to understand tech requirements for new products
    • Participate in identification and evaluation of data elements to deliver analytics for product development
    • Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
    • Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
    • Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
    • Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
    • Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
    • Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
    • Work with small, cross-functional teams to define vision, establish team culture and processes
    • Consistently focus on key drivers of organization value and prioritize operational activities accordingly
    • Identify and act upon product improvement opportunities
    • Aggregate and collate client data sets and conduct data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights
    • Clean and structure data sets fed to downstream analytics
    • Escalate technical errors or bugs detected in project work
    • Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.

    Ideal Candidate Qualifications:

    • Superior academic record at a leading national university
    • In depth technical knowledge, drive and ability to learn new technologies
    • Experience on Platforms/ Data Environments
    • Prior experience in working in product development/management role
    • In depth technical knowledge, drive and ability to learn new technologies
    • Outstanding communication skills (both verbal and written) and organizational skills
    • Strong project management skills
    • Experience in delivering analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
    • Experience in building and deploying production level data driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python
    • Curiosity, creativity, and excitement for technology and innovation
    • Demonstrated quantitative and problem-solving abilities
    • Ability to multi-task and strong attention to detail
    • Motivation, flexibility, self-direction, and desire to thrive on small project teams
    • Coding experience will be an asset
    The following skills will be considered as a plus
    • Experience with Privacy Enhancing Technologies
    • Financial Institution or a Payments experience a plus
    • Experience in developing integrated cloud applications with services like Azure. Databricks, Amazon or GCP
    • Experience of managing/working in Agile teams
    • Expertise with tuning Impala and Spark jobs in Hadoop
    • Experience developing and configuring dashboards

    Mastercard is an 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. 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.

    In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

    Why you should apply for a job to Mastercard:

  • 4.7/5 in supportive management
  • 69% 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.