Mgr, Retailer Data Exchange & Benchmark Research

Numerator is seeking a Manager of Retailer Data & Benchmark Research to lead the development validation and ongoing optimization of retailer-level benchmarks and external calibration signals that power our panel data products. This role sits at the intersection of data science analytics and product and is critical to ensuring our data accurately reflects real-world retail dynamics.

You will be responsible for the continued evolution of how we incorporate external signals into our ecosystem evaluating data quality and translating complex data behaviors into clear actionable insights for internal teams and clients.

How Youll Spend Your Time:

• Own the design evolution and performance of retailer-level benchmarks used in calibration.

• Identify and integrate external data sources (e.g. POS syndicated data retailer signals).

• Partner with Data Science to refine calibration methodologies and ensure benchmarks reflect channel retailer and shopper differences.

• Define and monitor key data quality and benchmark performance metrics including drift.

• Lead analysis of discrepancies between panel data and external benchmarks identifying and articulating root causes.

• Develop scalable frameworks to distinguish expected variability from true data issues and operationalize AI-enabled investigative workflows.

• Conduct deep-dive analyses of retailer and category trends to inform product and calibration improvements.

• Translate complex data behaviors into clear insights for internal stakeholders and clients.

• Establish guidelines for interpreting meaningful vs. immaterial data movement.

• Partner with Product Engineering Data Science Operations and Client teams to align priorities and operationalize solutions.

• Support go-to-market efforts by articulating data strengths limitations and appropriate use cases.

• Serve as a subject matter expert on retailer data benchmarks and calibration strategy.

• Build scalable processes dashboards and reporting to improve visibility into data quality and benchmark performance.

• Drive continuous improvement in calibration and validation processes.

• Stay current on GenAI capabilities and translate emerging technologies into practical applications for data quality and analytics.

• 7 years of hands-on experience in Data Science Analytics or a closely related field with at least 2 years leading cross functional projects as manager or team lead

• BS or Masters in Mathematics Statistics Computer Science Economics Physics or other behavioral and/or equivalent quantitative science

• Experience working with panel data POS data or large-scale consumer datasets

• Familiarity with calibration benchmarking or statistical modeling concepts

• Proven track record of supporting internal and external customers through development of tools best practices processes and programs

• Strong stakeholder management and cross-functional collaboration skills

• Advanced SQL & Python & modeling skills

What We Offer:

• An inclusive and collaborative company culture- we work in an open environment while working together to get things done and adapt to the changing needs as they come.

• Market competitive total compensation package.

• Volunteer time off and charitable donation matching.

• Strong support for career growth including mentorship programs leadership training access to conferences and employee resource groups.