Head of Measurement Science and Innovation

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in New York, NY, USA
Remote or Hybrid
175K-250K Annually
Senior level
Big Data • Information Technology
The world's leading consumer intelligence company.​
The Role
Lead modernization of survey-based datasets, oversee methodological innovations, ensure data quality, mentor a team, and act as a trusted advisor.
Summary Generated by Built In
Company Description

R26_000918

MRI-Simmons is the leading provider of actionable insights on the consumer. We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people! We are seeking an experienced, Head of Measurement Science and Innovation leader to spearhead the evolution of our industry-leading data assets.

MRI-Simmons measures consumer preferences, attitudes, and behaviors. We do this by collecting data through surveys and passively measured data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software.  Marketers and media companies then use MRI-Simmons data and technology to develop marketing strategies, consumer segmentation schemes and media activation approaches. The MRI-Simmons Insights Product is a consumer intelligence and discovery platform that provides marketers with faster access to actionable consumer insights.  

Remote role based in the US. Candidates must be physically located within the US.

Job Description

As the Head of Measurement Science and Innovation, you will be the primary architect of modernizing our foundational survey-based datasets while maintaining the historical continuity and research quality our clients depend on.  

This is a high-impact, executive-level role that sits at the intersection of traditional research rigor and modern data science. You will lead a team of highly skilled scientists and researchers, with the goal of bridging the gap between legacy measures and a future-focused, integrated analytic ecosystem.  

The ideal candidate combines deep technical and methodological expertise with exceptional communication skills, credibility with senior audiences, and a collaborative leadership style that builds trust and buy-in across disciplines.

Responsibilities:

Strategic Leadership & Vision  

  • Modernize Legacy Assets: Lead the strategic evolution of legacy-based datasets; balancing historical continuity with the need for modernized methodologies and market positioning. 
  • Define Evolutionary Pathing: Establish clear roadmaps for recalibrating or re-architecting legacy methodologies while rigorously protecting client trust, trendability, and long-term credibility.  
  • Integrate Data Ecosystems: Champion a vision where legacy data serves as a foundational component within a broader, integrated analytic ecosystem that includes census-level and behavioral data. 
  • Strategic Decision Leadership: Serve as senior arbiter in resolving tensions between protecting historical benchmarks and pursuing methodological innovations. 

Scientific Rigor & Innovation  

  • Data Fusions & Integrations: Direct complex data integration projects that combine traditional survey data with first-party datasets, census-level data, and large-scale behavioral inputs. 
  • Methodological Authority: Act as the organization’s primary authority on research rigor, overseeing standards for sampling, weighting, data linkage, and reproducibility. 
  • Reconcile Complex Datasets: Develop robust frameworks to reconcile discrepancies in coverage, granularity, and timing between consumer surveys and large-scale administrative data.  
  • Enforce Quality Standards: Establish and oversee best-in-class research protocols to ensure all analytic approaches are transparent, defensible, and appropriate for high-stakes decision making.  

Product, Market and Business Alignment 

  • Strategic Repositioning: 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. 
  • Commercial Methodology Alignment: Collaborate with senior stakeholders to ensure analytic strategies and methodological updates directly support core business objectives and market demands. 
  • Change Management Frameworks: Establish communication protocols for methodological shifts, ensuring stakeholders understand the impact of updates on trends and benchmarks.  

Client Advisory, Communication, and Thought Leadership  

  • Trusted Technical Advisor: Act as senior consultant to internal teams and clients, translating complex statistical concepts into compelling narratives that inform strategy and forecasting.  
  • Modernize Measurement Strategy: Advise clients on transitioning from reliance on legacy measures to adopting modern, integrated approaches to media measurement and research design. 
  • Industry Influence: Serve as a thought leader on emerging challenges in data science and measurement. 

Talent Development 

  • Cultivate Expertise: Mentor and develop senior researchers and data scientists, fostering a culture of scientific rigor, curiosity, and continuous learning.  

#LI-Hybrid #LI-SG5

Qualifications

  • 12+ years of experience in Data Science, Measurement Science, or Research Methods, with at least 5 years in a senior leadership position. 
  • Proven track record of evolving legacy, survey-based products into modern integrated data assets without losing historic trendability or sacrificing data quality.  
  • Direct expertise in:  
    • Survey sampling design, weighting, and inference 
    • Data fusion, record linkage, and multi-source data integration 
    • Working with census-level and large-scale population datasets 
  • Deep mastery of statistical methodologies, including sampling, weighting, and reconciliation of disparate data sources.
  • 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. 
  • Advanced degree in quantitative field such as Statistics, Data Science, Economics, Social Sciences, or a related discipline. 
  • Demonstrated success influencing stakeholders and gaining buy-in on methodological decisions in ambiguous or high-pressure environments. 

Additional Information

This role has a market-competitive salary with an anticipated base compensation of the following range: $174,600 - $250,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.  

  US Benefits  

  • Comprehensive healthcare plan (medical, Rx, dental and vision).  
  • Flexible spending accounts and Health Savings Account (including company contributions).  
  • Life and AD&D insurance.  
  • 401(k) retirement plan including company matching contributions.  
  • Disability insurance.  
  • Tuition Reimbursement.  
  • Discretionary paid time off program and 11 paid holidays. 

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

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 the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ 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. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Skills Required

  • 12+ years of experience in Data Science, Measurement Science, or Research Methods
  • Strong track record of evolving legacy survey-based products
  • Expertise in survey sampling design, weighting, and inference
  • Proven experience in data fusion and multi-source data integration
  • Deep mastery of statistical methodologies
  • Ability to explain complex concepts to non-technical audiences
  • Experience influencing stakeholders on methodological decisions
  • Advanced degree in quantitative field

NielsenIQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.

  • Parental & Family Support Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
  • Leave & Time Off Breadth Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
  • Flexible Benefits Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.

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The Company
Chicago, IL
40,000 Employees
Year Founded: 1923

What We Do

NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.

Why Work With Us

We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.

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