Manager, Product Development & Innovation, AI Garage Application Project Lead-2


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  • Company:
    MasterCard
  • Location:
  • Salary:
    negotiable / month
  • Job type:
    Full-Time
  • Posted:
    3 weeks ago
  • Category:
    General

**Who is Mastercard?**

We are the global technology company behind the world€™s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless ®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

**Job Title**

Manager, Product Development & Innovation, AI Garage Application Project Lead-2

Our Vision

AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency.

Opportunity

Lead a team of Data Science professionals in Mastercard’s AI Garage @ Gurgaon, a newly created strategic business unit within Mastercard, executing on identified use cases for product optimization and operational efficiency securing Mastercard’s competitive advantage through all things AI.

Role

Be an AI subject matter expert at Mastercard, responsible for end-to end ownership and execution of assigned AI responsibilities

Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard

Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases

Gather relevant information to define the business problem interfacing with global stakeholders

Creative thinker capable of linking AI methodologies to identified business challenges

Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models

Develop AI/ML solutions/applications leveraging the latest industry and academic advancements

Leverage open and closed source technologies to solve business problems

Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda

Partner with technical teams to implement developed solutions/applications in production environment

Support a learning culture continuously advancing AI capabilities

All About You

Experience

Prior experience leading and developing high performing teams with an emphasis on execution and through-put

Proven track record of developing and implementing AI strategies at scale, solving identified business problems and achieving optimization in the product development and management lifecycle in addition to operational efficiencies

Demonstrated leader capable of executing the AI agenda while managing complex variables including Information and Data Governance, Data Management, Information Security, Privacy & Compliance, Content Life cycle Management, and Records Retention Demonstrated ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity

8+ years of experience in the Data Sciences field with a focus on AI strategy and execution, developing solutions from scratch, and building local and global teams

Demonstrated expertise in the Data Sciences with established credibility in the field including patent submissions and experience working with start-ups

Demonstrated passion for AI competing in sponsored challenges such as Kaggle

Previous experience with or exposure to:

oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL

oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning

oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems – Collaborative Filtering, FPMC, FISM, Fossil

oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks €“ Feedforward, CNN, LSTM€™s GRU€™s is a plus. Optimization techniques €“ Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets €“ Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing

oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus

Exposure or experience using collaboration tools such as:

oConfluence (Documentation)

oBitbucket/Stash (Code Sharing)

oShared Folders (File Sharing)

oALM (Project Management)

Knowledge of payments industry a plus

Experience with SAFe (Scaled Agile Framework) process is a plus

Effectiveness

Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum

Capable of navigating a complex organization in a relentless pursuit of answers and clarity

Enthusiasm for Data Sciences enabling the identification, design, and deployment of optimal AI and machine learning business opportunities and the creative application of AI techniques to improve an organization’s effectiveness

Proven thought-leadership when evaluating business problems and architecting a cohesive solution

Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation

Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment

Incredible attention to detail and focus instilling confidence without qualification in developed solutions

Core Capabilities

Strong written and oral communication skills

Strong project management skills

Experience leading teams a plus

Bachelor’s degree required. Advanced degree in Management, Mathematics, Computer Science, Engineering, or other quantitative fields desirable

Some international travel required

_Mastercard is an inclusive Equal Employment 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.€‹_

_If you require accommodations or assistance to complete the online application process, please contact_ _reasonable.accommodation@mastercard.com_ _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._
Requisition ID: R-76559

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