Sr Consultant, Data Governance

ntrs; Pune District; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Northern Trust in Pune seeks a data quality and governance lead to advance enterprise data quality frameworks, governance standards, and metadata assets. You will collaborate with data owners and technology partners to design controls, monitor data quality, and implement sustainable, scalable solutions across domains.

You will mentor juniors, drive root-cause analysis, and develop executive dashboards to communicate trends, risks, and business impact using Power BI, Collibra, and SQL/Python

Qualifications

• Experience leading data quality initiatives and governance across multiple domains.
• Strong knowledge of Collibra Data Quality and Data Catalog platforms.
• Proficiency in SQL and Python for data analysis, automation, and quality monitoring.
• Experience designing BI and visualization solutions (Power BI, Incorta).
• Ability to communicate complex data governance concepts to technical and non-technical audiences.

Responsibilities

• Engage with data owners and stakeholders to provide expert consultation on data quality strategy.
• Translate complex business challenges into scalable data quality controls and monitoring.
• Develop data quality controls and automated reporting using SQL, Python, and enterprise schedulers.
• Create executive dashboards to communicate data quality trends, risks, and impacts via Power BI.
• Lead root-cause analysis of data quality issues and coordinate cross-functional remediation.

Skills

Data governance

Data quality

Stakeholder management

SQL

Python

Power BI

Education

Bachelor's degree in Information Systems, Computer Science, Data Management

Tools

Collibra

Power BI

Incorta

Job description

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

Summary

Under minimal supervision, independently leads and advances data quality initiatives across the organization by implementing, enhancing, and governing enterprise data quality frameworks, methodologies, and controls.

Drives the establishment, adoption, and continuous improvement of data governance policies, standards, processes, and best practices to strengthen data quality and support business objectives across multiple domains.

Serves as a trusted advisor to business and technology stakeholders, providing thought leadership and influencing enterprise data management and governance strategies.

Role Responsibilities

• Ability to independently engage with data owners, data consumers, custodians, and senior stakeholders across multiple domains to provide expert consultation on data quality strategy, governance practices, and implementation approaches.
• Ability to partner with business stakeholders to identify, analyze, and prioritize complex business challenges, translating them into scalable data quality controls, monitoring capabilities, and measurable outcomes.
• Ability to design, develop, and optimize data quality controls using SQL, Python, or similar technologies, while establishing automated monitoring, scheduling, and reporting solutions leveraging tools such as Control-M and other enterprise platforms.
• Ability to develop executive-level dashboards and data visualizations using platforms such as Power BI, effectively communicating data quality trends, risks, root causes, and business impacts. Acts as a recognized subject matter expert and drives knowledge sharing across business units.
• Ability to lead root cause analysis of complex data quality issues, coordinate cross-functional remediation efforts, and partner with technology teams to implement sustainable solutions at the source.
• Assess, design, and implement strategies that reduce data redundancy and improve the consistency, reliability, and fitness of data used for business decision-making. Proactively recommend enhancements to business processes, controls, and monitoring frameworks.
• Lead the development and enhancement of data management standards, processes, controls, and metadata assets, including business glossaries, data dictionaries, and governance repositories such as Collibra.
• Lead and support governance reviews, compliance assessments, monitoring activities, and control testing to ensure ongoing adherence to enterprise data governance policies, regulatory requirements, and industry best practices.
• Mentor and provide guidance to junior team members and consultants, contributing to capability development and promoting consistent adoption of data quality and governance standards.
• Influence strategic data governance initiatives by identifying opportunities for process improvement, automation, operational efficiencies, and enterprise-wide data quality enhancement.

Required and Preferred Experience

• Bachelor's degree in Information Systems, Computer Science, Data Management, or related field, with significant experience in Data Quality, Data Governance, or Enterprise Data Management.
• Demonstrated experience leading data quality initiatives and working with business and technology stakeholders across multiple functional areas.
• Strong experience with Collibra Data Quality, Collibra Data Catalog, or comparable enterprise data governance and metadata management platforms preferred.
• Advanced proficiency in SQL and experience with Python or other programming languages used for data analysis, automation, and quality monitoring.
• Strong understanding of database architecture, data integration, data lineage, and data management principles.
• Experience designing and developing business intelligence and data visualization solutions using Power BI, Incorta, or similar analytics platforms.
• Deep knowledge of Data Governance, Data Quality, Master Data Management, Metadata Management, and Enterprise Data Management concepts and best practices.
• Proven ability to communicate complex technical and data governance concepts to both technical and non-technical audiences, including senior leadership.
• Demonstrated ability to influence stakeholders, drive change, and lead cros