Data Governance Associate
Bangalore, India
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Job Description:
The Data Governance Consultant is a critical role responsible for establishing and maintaining a robust data and analytics governance framework within the organization. This individual will champion data quality, integrity, security, and compliance across all business units, ensuring data is treated as a valuable business asset and managed effectively. Whilst there are pockets of high maturity data management practices through the business, there is a need for the establishment of an enterprise wide data and analytics governance program as a business capability. In the future there may also be opportunities to extend this role into the domain of AI governance given the importance of data in the responsible and productive use of AI technologies.
Job Description:
The Data Governance Consultant is a critical role responsible for establishing and maintaining a robust data and analytics governance framework within the organization. This individual will champion data quality, integrity, security, and compliance across all business units, ensuring data is treated as a valuable business asset and managed effectively. Whilst there are pockets of high maturity data management practices through the business, there is a need for the establishment of an enterprise wide data and analytics governance program as a business capability. In the future there may also be opportunities to extend this role into the domain of AI governance given the importance of data in the responsible and productive use of AI technologies.
Responsibilities
- Stakeholder Management: build and maintain strong relationships with key stakeholders to identify and prioritize business goals.
- Communication: Clear and effective communication is crucial for explaining data policies and collaborating with various stakeholders.
- Negotiation: Balancing different interests and finding common ground among stakeholders.
- Empathy: Understanding the needs and concerns of different departments and users.
- Responsibility coordinator: Clarity in distinguishing our respective duties and respective team duties.
- Team Player: Collaborates effectively with stakeholders to ensure data integrity, security, and compliance.
- DG Framework Understanding: Worked with massive datasets and have hands-on experience implementing comprehensive data governance frameworks.
- Strategic Thinking: Developing and implementing data governance frameworks that align with organizational goals.
- Project Management: Managing data governance projects, ensuring they are completed on time and within budget.
- Data Modeling: Understanding how data is structured and how it can be used to support business objectives.
- Regulatory Knowledge: Familiarity with data protection laws and regulations (e.g., GDPR).
- Basic Concepts of Data Governance: Data Quality, Metadata Management, Data Lineage etc.
- Have experience in Creating/Conducting Trainings to enhance data literacy.
- Experience in understanding and implementing changes as per organizational demands.
- Understanding of the Value Driven Approach: Align with org directions, prioritizes accordingly and can understand the value of the prioritized projects.
- Understanding of types of data (Eg PII, Sensitive etc.)
- Understanding of the data governance/management best practices.
- Technical Proficiency: Knowledge of databases, data warehouses, and data management tools (any tool, even inhouse built tools or Collibra or Alation).
- Data Analysis: Ability to analyze data quality issues (eg. data duplications) and implement solutions.
- Measurement (key indicators this role would be responsible for)
- Team Player: Curious, Collaborative, Inclusive, Proactive, Accountable, Committed
- Values: Open, Connected, Useful, Personal
Qualifications
- Bachelor's degree in Computer Science, Information Management, or a related field.
- This role is applicable across various industries, but experience in regulated industries (e.g., finance, healthcare) is a plus.
- Relevant certifications (e.g., Certified Data Management Professional (CDMP), Certified Information Privacy Professional (CIPP)) are desirable.
- Fluency in English and local language mandatory
- Excellent communication, collaboration, and a team player.
- Ability to work effectively with cross-functional teams and influence stakeholders.
- High levels of energy, conscientiousness, rapport building, resiliency, inventiveness, and curiosity.
- Strong understanding of data management principles, data quality, data security, and data privacy.
- Expertise in managing organizational change related to technology adoption and implementing change management strategies to ensure smooth transitions.
- Effective communication and collaboration with stakeholders at all levels, balancing competing priorities and managing expectations.
- Experience with data & analytics governance tools and technologies.
- Ideally, 8+ years of experience in data management, data governance, or a related field.
- Ideally, a proven track record of successfully implementing and leading data & analytics governance programs.
- Ability to evaluate and manage relationships with technology vendors, including understanding contractual terms, service-level agreements (SLAs), and negotiation skills.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: AI governance Computer Science Data analysis Data governance Data management Data quality Finance Privacy Security
Region:
Asia/Pacific
Country:
India
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