Head of Measurement Science and Innovation at NielsenIQ | NY, US | Rezi

Head of Measurement Science and Innovation at NielsenIQ

Head of Measurement Science and Innovation

NielsenIQ · NY, US

2 months ago

Head of Measurement Science and Innovation

NielsenIQ · NY, US

2 months ago
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About the Role

As the Head of Measurement Science and Innovation, you will be the primary architect of modernizing foundational survey-based datasets while maintaining historical continuity and research quality. This high-impact, executive-level role bridges traditional research rigor and modern data science, leading a team of scientists and researchers to integrate legacy measures into a future-focused analytic ecosystem.

Responsibilities

  • Lead the strategic evolution of legacy-based datasets, balancing historical continuity with modernized methodologies and market positioning.
  • Establish clear roadmaps for recalibrating or re-architecting legacy methodologies, protecting client trust, trendability, and long-term credibility.
  • Champion a vision where legacy data serves as a foundational component within a broader, integrated analytic ecosystem that includes census-level and behavioral data.
  • Serve as senior arbiter in resolving tensions between protecting historical benchmarks and pursuing methodological innovations.
  • Direct complex data integration projects combining traditional survey data with first-party, census-level, and large-scale behavioral inputs.
  • Act as the organization’s primary authority on research rigor, overseeing standards for sampling, weighting, data linkage, and reproducibility.
  • Develop robust frameworks to reconcile discrepancies in coverage, granularity, and timing between consumer surveys and large-scale administrative data.
  • Establish and oversee best-in-class research protocols to ensure all analytic approaches are transparent, defensible, and appropriate for high-stakes decision making.
  • Partner with product and commercial leaders to clarify the unique value of legacy datasets and identify where complementary data sources are required to meet client needs.
  • Collaborate with senior stakeholders to ensure analytic strategies and methodological updates directly support core business objectives and market demands.
  • Establish communication protocols for methodological shifts, ensuring stakeholders understand the impact of updates on trends and benchmarks.
  • Act as senior consultant to internal teams and clients, translating complex statistical concepts into compelling narratives that inform strategy and forecasting.
  • Advise clients on transitioning from reliance on legacy measures to adopting modern, integrated approaches to media measurement and research design.
  • Serve as a thought leader on emerging challenges in data science and measurement.
  • Mentor and develop senior researchers and data scientists, fostering a culture of scientific rigor, curiosity, and continuous learning.

Requirements

  • Proven track record of evolving legacy, survey-based products into modern integrated data assets without losing historic trendability or sacrificing data quality.
  • Deep mastery of statistical methodologies.
  • Ability to explain complex methodological concepts clearly to non-technical audiences, including clients, stakeholders, and executives.
  • Experience navigating the organizational and commercial tensions of modernizing “gold standard” legacy measures.
  • Demonstrated success influencing stakeholders and gaining buy-in on methodological decisions in ambiguous or high-pressure environments.
  • Exceptional communication skills.
  • Credibility with senior audiences.
  • Collaborative leadership style.

Skills

  • Survey sampling design
  • Weighting
  • Inference
  • Data fusion
  • Record linkage
  • Multi-source data integration
  • Working with census-level datasets
  • Working with large-scale population datasets
  • Statistical methodologies
  • Reconciliation of disparate data sources

Location

  • Remote
  • US

Work Type

  • Full-time
  • Hybrid
  • Remote

Experience Level

  • 12+ years of experience in Data Science, Measurement Science, or Research Methods
  • 5+ years in a senior leadership position
  • Executive-level

Education Level

  • Advanced degree in a quantitative field (Statistics, Data Science, Economics, Social Sciences, or related discipline)

Salary/Compensations

  • $174,600 - $250,000
  • Eligible for sales-based incentive or performance-based bonus

Benefits

  • Flexible working environment
  • Comprehensive health insurance (medical, Rx, dental, vision)
  • Industry-leading parental leave
  • Life insurance
  • Education support
  • Flexible spending accounts
  • Health Savings Account (including company contributions)
  • AD&D insurance
  • 401(k) retirement plan including company matching contributions
  • Disability insurance
  • Tuition Reimbursement
  • Discretionary paid time off program
  • 11 paid holidays
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

About the Company

  • NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
  • In 2023, NIQ combined with GfK, bringing together two industry leaders with unparalleled global reach.
  • Provides a holistic retail read and comprehensive consumer insights, delivered with advanced analytics through state-of-the-art platforms.
  • Delivers the Full View™.
  • An Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Equal Opportunity

  • NIQ is committed to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets served.
  • Believes that embracing a wide range of perspectives drives innovation and excellence.
  • All employment decisions are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.