Data Governance Lead - Python

Position Overview :

We are seeking a detail-oriented and proactive Data Governance Lead to join our AI & Data Governance team.

This individual will play a pivotal role in developing, maintaining, and supporting data management initiatives, AI-driven solutions, and governance frameworks. The role focuses on maximizing the value of enterprise data assets to deliver actionable insights that drive informed business decisions.

The ideal candidate will be responsible for creating, maintaining, and enhancing data catalog platform & improve data quality, accessibility, and overall data maturity across the organization.

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.

Experience :

- 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 :

- 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.