Data Governance Manager

Dun & Bradstreet; Hyderabad; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Dun & Bradstreet is seeking a senior data governance professional to drive data quality and lifecycle governance across global operations. The role focuses on setting standards, partnering with data supply chains, and delivering data-driven insights to product and client teams.

The ideal candidate brings deep experience in data management, strong communication, and proficiency with SQL, Python, and analytics tools to enable fact-based decision making.

Qualifications

• Requires 8+ years in data management, governance, or data stewardship.
• Strong collaboration across cross-functional teams and regions.
• Proven ability to set data quality standards and drive improvements.

Responsibilities

• Ensure quality, availability, and governance of enterprise data for ops and scale.
• Develop roadmaps with cross-functional partners to improve data quality.
• Set data quality standards for data operations teams globally.
• Review quality results and guide regional teams for improvement.
• Publish directives on data lifecycle management.
• Engage stakeholders to understand client data needs and drive asset management.
• Support data products with insights and strong relationships.
• Foster innovation and continuous process improvement.

Skills

Data governance

Data quality

SQL

Python

Looker

BigQuery

PowerBI

Databricks

Data stewardship

Education

Bachelor's in Statistics

Masters preferred

Tools

Regex

Excel

Job description

Essential Key Responsibilities:

• Ensure the quality, availability, and governance of enterprise data, which is necessary for operational excellence and long-term scalability.
• Develop and implement roadmaps and initiatives through cross-functional partnerships to improve, expand and grow critical data element data quality.
• Understand how critical data elements are processed globally and set data quality standards and guidance for data operations teams. Work with data quality and data supply chain teams to monitor and measure the data against these standards.
• Proactively review data quality results, issues and observations on a regular basis to ensure data quality is maintained and improved. Provide guidance and support to regional teams.
• Develop and publish directives on how data should be managed throughout its lifecycle.
• Understand client insights, usage behaviours and requirements for their assigned CDE/Domain.
• Support client-facing teams in understanding critical data elements and engage product teams to identify business needs and develop, implement, and manage the data asset. Establish and maintain strong relationships with key business and technology stakeholders.
• Serve as a role model, inspiring innovation and teamwork within the team and across departments.
• Continually evaluate processes for improvement, taking the lead in developing and executing plans. Develop innovative alternatives and modern approaches to enhance the areas of our business under our control.
• Stay updated with the latest trends and technologies in data & analytics and apply them to improve existing processes.
• Additional duties as assigned.

Essential Skills and/or Certifications:

• Bachelors Degree in Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering or a related field. Masters Degree is a plus.
• 8+ years of experience in data management (data quality, data governance, data stewardship, master data management) or a related field.
• Ability to manage multiple assignments, many of which have challenging timelines.
• Ability to work independently, as well as collaborate effectively in a team environment.
• Excellent communication and presentation skills.
• Proficiency in Microsoft Office Suite.
• Passionate and curious about data with the ability to query and analyse datasets in order to drive fact-based decisions. Ideally experience with a range of data analysis tools and languages (e.g., SQL, Regex, Python, Looker, Big Query, PowerBI, Snowflake, Databricks).
• Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.