Data Governance lead

1 month ago

Pune, India Tata Consultancy Services Full time

Experience: 7-10years


Location: Pune(preferred), Hyderabad (Adibatla), Bangalore, Chennai, Noida, GG7,Nagpur.


Experience:

  • Minimum of 5 years in data governance, data management, or a related field.
  • Data Governance Expertise: Proven experience in developing and implementing data governance policies and procedures in a regulated environment.
  • Technology Skills: Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools.
  • Stakeholder Management: Proven history of working with both technical and non-technical stakeholders, bridging the gap between data teams and business units.
  • Analytical Thinking: Exceptional ability to analyse complex data environments, assess governance needs, and develop strategic solutions.
  • Regulatory Acumen: Strong understanding of regulatory requirements and compliance standards in data management, especially in finance or healthcare sectors.
  • Technical Expertise: Proficient in various data management technologies and tools, with the ability to guide their effective use for governance purposes.
  • Leadership: Demonstrated ability to lead cross-functional teams, inspire collaboration, and drive governance initiatives.
  • Communication Skills: Excellent communication abilities, capable of clearly conveying complex data governance concepts to both technical and non-technical stakeholders.
  • Problem-Solving: Skilled in identifying challenges in data governance and devising practical, innovative solutions.
  • Detail-Oriented: Meticulous attention to detail, ensuring the accuracy and integrity of data governance processes and documentation.
  • Strategic Vision: Ability to develop long-term data governance strategies that align with organizational goals and adapt to evolving data landscapes.
  • Change Management: Proficiency in managing change, advocating for new processes, and facilitating the adoption of data governance practices across the organization.
  • Continuous Learning: Commitment to staying updated with the latest trends, tools, and best practices in data governance and management.


Detailed Duties:

  • Design, deliver and manage enterprise-wide data and information governance and data quality frameworks, embedding it in the day-to-day work of operational areas.
  • Lead, build and deliver the governance processes and systems to execute and deploy the enterprise Data Strategy. Create, implement, and maintain data governance policies and procedures.
  • Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes.
  • Delivery of an enterprise-wide Data Governance Programme aligned to technical, legislative and regulatory requirements that align with the IT Strategy, Change Programmes, Corporate Priorities and management of Corporate Risks.
  • Identify and appoint data stewards, providing guidance and support.
  • Develop and maintain a data catalogue, taxonomy, and data lineage documentation.
  • Collaborate with stakeholders to ensure data governance practices align with the company's data strategy and infrastructure.
  • Advocate for data governance best practices and drive initiatives to enhance data-driven decision-making.
  • Report on the progress of data governance initiatives to senior leadership.
  • Develop and deliver training and awareness programs to promote data governance principles across the organization.
  • Design and deliver a programme to define, master, and enhance data to ensure it meets the needs of the business and analytical teams
  • Analyses large quantities of data and develops reports on the overall performance of business segments; develops metrics to measure various characteristics of the business
  • Combines a proficient level of understanding on how business operates with analytical ability to sift effectively through data available, overlaying all this with the technical competency to illustrate this analysis to senior level stakeholders and the wider business
  • Models advanced methods of combining charts, maps, timelines, and infographics into comprehensible dashboards; may create visualizations of complex relationships and big data sets in a user-friendly and easy-to-understand way to facilitate business decision making.
  • Provides resolution to a diverse scope and range of complex problems where analysis of data requires evaluation of identifiable factors.
  • Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Normally receives little instruction on day-to-day work, general instructions on new assignments. Determines and develops approach to solutions.

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