Contents
Our Purpose
We work 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.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences.
We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.
Job Description:
| Field | Details |
|---|---|
| Position Name | Lead Data / ML Engineer-1 |
| Company Name | Mastercard |
| Department | Data and Services |
| Qualification | – Experience in data product development, analytical models, and model governance |
| – Strong project management skills | |
| – Strong analytic capabilities and written and oral communication skills | |
| Experience | – Must work well in both team and individual settings and must be able to work with a geographically dispersed team |
| – Familiarity with industry best practices for the collection and use of data | |
| Job Location | Pune, Maharashtra, India |
Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.
Job Title and Summary
Lead Data / ML Engineer-1
As the Lead Data Engineer, you will lead the design and development of enhanced data services and cloud enablement for Data and Services. You will push the limits of the state-of-the-art with best-in-class data product enablement in the cloud and will design the roadmap to develop data & analytics solutions that sit atop vast datasets.
The challenge will be to dynamically deliver value in the near term while developing capabilities and processes that lay the groundwork for the future. Your roadmap will enable a frictionless customer and developer experience, exposing data components for direct customer use or as components for new product constructs.
You will have the opportunity to create high-performance analytic and ML solutions based on datasets measured in billions of transactions and front-end visualizations to unleash the value of big data.
Key Responsibilities:
Lead the Design and Development of Data Capabilities
- Design and develop new data capabilities and infrastructure related to accessing and using MA, third-party, and partner data to power Mastercard data products and solutions.
- Design required new data pipes, data transfers, and compliance-related infrastructure to enable the use of data in the cloud.
Identify and Address Data-Related Needs
- Identify data-related capabilities and infrastructure requirements resulting from new and evolving product constructs and how those requirements can be developed cloud-natively.
- Understand the Data and Services business strategy, information infrastructure, and data needs for both new and existing products and services across various product initiatives.
Collaborate for Long-Term Viability
- Collaborate with relevant data management, data governance, and technical teams to enable long-term viability of information assets and enterprise requirements.
- Develop a horizontal technology roadmap in conjunction with Data Strategy & Management team input to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups.
- Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.
Key Qualifications:
Future Trends Enthusiast
- Curiosity and motivation by future trends in data, AI/ML, analytics, and digital experience.
- Experience in data product development, analytical models, and model governance.
- Experience in anonymizing data and managing the use of data.
Data Management Expertise
- Experience in data hygiene procedures, identity resolution capabilities, or data management is a plus.
- Ability to create strategies and plans that define how information can be utilized to support an organization’s overall business strategy, and how that information and data is organized and governed inside an organization.
- Familiarity with industry best practices for the collection and use of data.
Interpersonal and Communication Skills
- Exceptional interpersonal skills with proven experience in relationship building and partnering. Must work well in both team and individual settings and must be able to work with a geographically dispersed team.
- Strong analytic capabilities and written and oral communication skills. Attention to detail is a must.
- Motivated self-starter with the ability to excel at multi-tasking in a fast-paced environment.
- Outstanding English written and verbal communication skills.
Project Management Skills
- Strong project management skills and a demonstrated ability to understand complex information product constructs.
Corporate Security Responsibility
- All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. 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.
- Complete all periodic mandatory security training in accordance with Mastercard’s guidelines.
Key Responsibilities at a Glance
| Responsibility | Description |
|---|---|
| Design and Development | Lead the creation of data capabilities and infrastructure for Mastercard data products and solutions. |
| Data Transfer and Compliance | Design data pipes, transfers, and compliance infrastructure for cloud usage. |
| Capability Identification | Identify data-related requirements and develop cloud-native solutions. |
| Strategy and Infrastructure Understanding | Understand the data needs for new and existing products, aligning with business strategy. |
| Collaboration for Viability | Work with data management and governance teams for long-term asset viability. |
| Technology Roadmap Development | Create a technology roadmap for managing data across business groups. |
| Gap Identification and Remediation | Identify and address gaps in data capability and infrastructure. |
This comprehensive overview provides a detailed look at the responsibilities and qualifications required for the Lead Data / ML Engineer-1 position at Mastercard. If you are passionate about data, AI/ML, and driving innovation, this role offers an exciting opportunity to shape the future of digital transactions and data analytics.
How To Apply?
To apply for the position of Lead Data / ML Engineer-1, please submit your resume and cover letter to [email address]. We look forward to welcoming you to our team!
If you have any queries feel free to contact us via email or using our contact form.