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DA Innovation Lead

External
Nielseniq logoNielseniq · Chennai, India
Full-timeOn-site4d ago
AgileComplianceCross-functional CollaborationDocumentation
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Benefits

Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionVision insuranceFlexible scheduleEquity / stock options

Additional Information

Job Purpose This role supports the execution of innovation initiatives in Data Acquisition , working closely with the Innovations Leader and collaborating with Enterprise Solutions, IT, and DSci teams to convert strategic vision into deployable solutions. The role focuses on solution design, pilot execution, stakeholder coordination, and implementation of innovative data acquisition capabilities . Job Responsibilities Innovation Delivery: Translate innovation ideas into execution-ready use cases Support design and deployment of data acquisition solutions (automation, APIs, AI tools) Technology Collaboration: Work closely with IT and Enterprise Solutions teams Ensure feasibility and technical alignment of innovation initiatives Pilot & Implementation Management: Drive POCs, pilots, and phased rollouts Monitor results and refine solutions before scaling Stakeholder Coordination: Work with DSci, Ops, and markets to ensure adoption Provide training, documentation, and transition support Continuous Improvement: Track performance metrics and identify optimization opportunities Support innovation backlog and pipeline management Scope Budget Responsibility: Limited (project/pilot level) Number of employees managed: Individual contributor / small teams Geographical Scope: Regional / Global projects Functions Managed: Cross-functional collaboration (non-hierarchical) Success Measures Successful execution of pilots and solution deployments Adoption rate of implemented innovations Improvement in data efficiency and quality Adherence to timelines and delivery milestones Stakeholder satisfaction Role Requirements Education: Bachelor's/Master's in Engineering, Data Science, Statistics, or related field Experience: 6-9 years in data, analytics, or technology-enabled roles Technical Skills: Understanding of APIs, automation, scripting, and data pipelines Exposure to AI/ML-based data solutions is preferred Functional Skills: Strong problem-solving and execution capability Ability to bridge business and technology teams Cultural Fit: Agile mindset and collaborative approach Comfortable working in fast-paced innovation environments Language: Fluent English; ability to work with global stakeholders


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