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Director - Software Engineering AI/ML

2 months ago

Miami, United States Mastercard Full time
About the Role

We are seeking a highly skilled and experienced Director - Software Engineering AI/ML to join our team at Mastercard. As a key member of our organization, you will play a critical role in developing data & analytics solutions that power the Mastercard customer experience and customer management enablement.

Key Responsibilities
  • Drive the evolution of products/platform with an impact focused on data science and engineering
  • Participate in development of data and analytic infrastructure
  • Participate in identification and evaluation of data elements to deliver analytics for the end-to-end customer experience
  • Prototype new algorithms, experiment, evaluate and deliver actionable insights
  • Continuously innovate and determine novel approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
  • Partner with stakeholders across the organization including consultants and engineering to determine the highest priority problems to solve
  • Evaluate trade-offs between many analytics solutions to a problem, considering 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 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
Requirements
  • Superior academic record at a leading national university in Computer Science, Computer Engineering, or Technology related field or equivalent work experience
  • At least 12 years of experience as data engineer and with open-source tools
  • At least 7 years of experience in managing people/teams
  • 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
  • Strong hands-on experience in Analytics & Computer Science
  • Demonstrated knowledge of statistical analytical techniques, coding, and data engineering
  • Experience leveraging open-source tools, predictive analytics, machine learning, advanced statistics, and other data techniques to perform basic analyses
  • High proficiency in using Python/Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Scoop), and SQL to build Big Data products & platforms
  • 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 and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
  • 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
Preferred Skills
  • Financial Institution or a Payments experience
  • Experience in developing integrated cloud applications with services like Azure. Databricks, Amazon or GCP
  • Experience of managing/working in Agile teams
  • Experience developing and configuring dashboards
About Mastercard

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.