Senior Analyst, Data Glossary-3

Mastercard is hiring a Senior Analyst, Data Glossary-3 in Pune, India. Level rates it ; you can apply on Mastercard.

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Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as a senior role.
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Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Analyst, Data Glossary-3

Overview
The Senior Analyst, Data Glossary is responsible for the glossary content creation within the enterprise data glossary for assigned data sets and domains. This includes curating the data to be included by ensuring the critical data elements are appropriately identified, categorizing and classifying data, applying business term naming and definition standards, facilitating the rationalization of business terms at an enterprise level across business units, and ensuring content is represented accurately within tooling. This individual will serve as a semantic subject matter expert for assigned data domains and/or data sets as Mastercard expands its data management program and strategy within the office of the Chief Data Officer (CDO).

This role is within the Data Management & Strategy team, with reporting structure up to the Chief Data Officer.

Role
• Coordinate and communicate with data subject matter experts and other stakeholders to curate and proof the content to be included in the data glossary for assigned data domains, ensuring business terms conform to standards.
• Normalize terms cross-functionally, ensuring no term duplicates, and facilitating consensus among competing stakeholders.
• Ensure content is loaded and maintained in enterprise tooling. Participate in the identification and implementation of controls to ensure glossary integrity.
• Collaborate closely with team members and cross-functional teams to ensure content and process alignment. Contribute to process automation and streamlining operational procedures.
• Assist in researching and evaluating external related standards.
• Align with established data categories and concepts that may be managed by other team members.
• Solicit and incorporate continuous feedback from communities of interest and other stakeholders to improve data semantic models while maintaining governance.
• Assist with the creation and maintenance of standards and best practices related to the data glossary, including business term naming and definition standards. Solicit and incorporate continuous feedback from the community and other stakeholders.
• Assist with the training of new data glossary resources.
• Coordinate with Operations & Technology support teams to report, track, and escalate any tool issues or defects impacting the performance or usability of the data glossary tools
• Serve as a data-driven change agent and advocate, persuading and influencing the organization at the grassroots level.
All About You

• Excellent writing skills, including the ability to concisely and precisely convey information to the intended audience in an easy to understand, unambiguous manner.
• Advanced Excel skills are desirable, intermediate required at a minimum.
• Demonstrated experience in working with data.
• Demonstrated experience with the application of standards.
• Hands-on experience with projects involving an enterprise glossary, thesaurus, or controlled vocabulary.
• Highly-motivated self-starter with the ability to multi-task between strategy-related work and tactical ‘in the trenches’ work, while working under deadlines. Ability to produce effective business results while under time pressures.
• Ability to understand and analyze complex information products, systems and processes and to break down complex concepts into clear articulated information to aid organizational understanding and identify common themes.
• Any experience related to data management or data governance including working with data dictionaries, metadata management solutions, data models, data lineage, data quality, data and analytics solutions, data categorization, defining the properties and relationships of concepts, data classification, and data issue tracking is an advantage.
• Strong interpersonal communication, relationship-building and presentation skills.
• Without direct authority, ability to motivate and influence others to achieve organization goals.
• Experience in the technology and/or finance industries is helpful.

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.

How we rate this

Senior Analyst, Data Glossary-3 at Mastercard rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.