Data Governance Platform Engineer - Senior Associate II

Key Responsibilities :

Creation, Maintenance, and Enhancement of Smart Data & Products Discovery :

• Create and maintain a comprehensive data catalog and data products dictionary to ensure data assets are well-documented and easily accessible.
• Develop and update a field-level business dictionary for data products to standardize terminology and enhance understanding across teams.
• Integrate and Implement AI-powered search and recommendation capabilities to improve discoverability of data products and provide intelligent responses to user queries.

Creation and Maintenance of Client 360 :

• Design and Implement Assignee and Client 360 views by integrating data from various sources, including Sales, Financial, and CRM systems, to provide a holistic view of Client engagements across Vialto and its interactions.

AI-Driven MDM & DQ :

• Creating a Data Quality Platform and Master Data Management Framework using AI to automate data profiling, anomaly detection , entity resolution, and metadata enrichment ensuring accurate, consistent, and trusted data across the enterprise.

Qualifications : Education :

• Bachelor s or Master s degree in Computer science , or a related field.

Experience :

• 7+ years of experience in data management, AI-driven solutions, and data governance initiatives.
• Proven expertise in creating, maintaining, and enhancing data dictionaries, business glossaries, and supporting documentation.
• Strong familiarity with AI-driven platforms and their practical applications in data governance and discovery workflows.
• Demonstrated experience working with Enterprise data and KPIs, along with a solid understanding of enterprise processes and terminologies.
• Proficient in data integration techniques and tools, including Azure Data Factory / Pipelines.
• Knowledge of Data Quality (DQ) and Master Data Management (MDM) principles, including metadata management, entity resolution, and data stewardship.
• Familiar with data governance frameworks and data automation practices to improve efficiency and accuracy across data operations.

Technical Skills :

• Strong proficiency in Python, Azure AI / ML, LLM and GenAI.
• Basic SQL skills for querying and extracting data from databases.
• Familiarity with ERP systems and financial software (e.g., SAP, Workday).
• A working knowledge of data modeling and Data Architecture is a plus.

Soft Skills :

• Exceptional communication skills, with the ability to present complex enterprise data in a clear, concise manner.
• Strong problem-solving capabilities and acute attention to detail.
• Ability to work collaboratively across cross-functional teams and manage multiple projects simultaneously.
• Excellent organizational skills, with a keen ability to prioritize tasks and manage time effectively.

Preferred Qualifications :

• Experience in leading data governance initiatives and projects.
• Knowledge of data integration techniques and tools.

Skills Required

Data Governance