Data Architect

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.

Responsibilities

• Stakeholder Engagement: Build and maintain strong relationships with key stakeholders, including business leaders, sales, HR, finance, legal, IT teams, and systems owners, with the goal of identifying and prioritizing business goals. See the Network section for additional details about the set of stakeholders to engage.
• Data Architecture and Modeling: Take full ownership of the data architecture, designing and developing robust data models for diverse datasets.  This includes crafting a Reference Data Enterprise Data Model and a Knowledge Graph platform, pivotal for integrating data across the organization.    
• System Documentation and Visualization: Clearly document and visualize existing and newly designed systems, ensuring maintainability and knowledge transfer.  This involves creating comprehensive documentation and visual representations of data flows, system architectures, and data models.  
• Data Process Optimization and Modernization: Streamline and optimize data processes across all product lines, encompassing data creation, preparation, and delivery.    
• Technical Leadership: Stay abreast of the latest advancements in data architecture, including emerging technologies, trends, and best practices.  Provide technical guidance and mentorship to cross-functional data management staff, fostering their professional development.    
• Data Governance and Standards: Contribute to the development and implementation of robust data governance policies and standards, ensuring data quality, security, and compliance.   
•  Tool Evaluation and Selection: Participate in the evaluation and selection of appropriate data management tools and technologies, aligning them with the organization's needs and strategic objectives. 
• Continuous Improvement: Monitor the effectiveness of Data Architecture initiatives and identify areas for improvement. Stay up-to-date with industry best practices. 
• Integration with Existing Systems: Ensure seamless integration of optimized processes with existing ERP, CRM, and HR systems.
• Stakeholder Management: employ techniques to ensure stakeholders’ needs and expectations are understood and managed; potential conflicts or issues are identified and addressed early on; and build trust and foster collaboration for mutually beneficial outcomes.
• Prioritization: evaluate the relative value of BPM and EA initiatives by evaluating against a set of developed criteria; and ensuring that potential conflicts in priorities with stakeholder groups are discussed, evaluated and agreed collaboratively.

Measurement

• Leadership: Curious, Collaborative, Inclusive, Proactive, Accountable, Committed
• Financial: Global COE and Internal Control metrics, Internal and External Audit observations, Adherence to closing deadlines
• Values: Open, Connected, Useful, Personal

Education & Training

• Technical Expertise: Bachelor's degree in Computer Science, Information Systems, or a related field.   
•  Industry Experience: While this role is applicable across various industries, experience in the media and entertainment sector is highly desirable.  Experience with data management in a global context is a plus.    
• Desirable Certifications: Professional certifications in data architecture (e.g., AWS Certified Solutions Architect, Google Cloud Certified Professional Data Architect) and data management (e.g., CDMP) are highly desirable.
• Communication Skills: Excellent communication skills in English are mandatory, with fluency in local languages relevant to Nielsen's global operations being a plus.

Experience

• Excellent communication, collaboration, and leadership skills.
• Ability to work effectively with cross-functional teams and influence stakeholders.
• High levels of energy, conscientiousness, rapport building, resiliency, inventiveness, and curiosity.
• Data Architecture Experience: 8+ years of experience in data architecture, data warehousing, or data engineering, with a strong focus on designing and implementing enterprise-scale data solutions.    
• Leadership and Collaboration: 3+ years of experience in a leadership role, mentoring and guiding technical teams. Demonstrated ability to collaborate effectively with diverse stakeholders, including business units, technical teams, and external partners.    
• Strategic Thinking: Proven ability to think strategically about data architecture, aligning data solutions with business objectives and industry best practices.    
• Data Modeling Expertise: Extensive experience with data modeling, including conceptual, logical, and physical data models. Proficiency in various data modeling techniques and notations.    
• Data Integration and Migration: Experience with data integration and migration projects, including designing and implementing ETL (Extract, Transform, Load) processes.    
• Cloud Experience: Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. Strong project management skills, with experience in leading complex transformation projects.
• Experience in change management and user training for systems implementations.
• Excellent communication and stakeholder management skills, with the ability to bridge the gap between business and IT.
• Experience in working with global teams and managing diverse stakeholder groups. Experience in a regulated industry is a plus.
• Ability to evaluate and manage relationships with technology vendors, including understanding contractual terms, service-level agreements (SLAs), and negotiation skills.

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