About The Position

As Head of Quality – Customer Reporting and Data Analytics, your primary goal will be to build and lead a customer-facing intelligence product line that delivers actionable insights from Everseen’s Vision AI solutions and complementary third-party data sources. You will transform complex operational and performance data into clear, impactful analytics and reporting tools that provide retail customers with unparalleled visibility into: •Everseen Product Performance across geographies, regions, stores, and lanes. •Retail Inventory Shrinkage Insights, highlighting patterns, root causes, and improvement opportunities. This role is pivotal in creating a new revenue stream by developing and scaling a market-leading intelligence offering that combines traditional reporting, API-based delivery, and AI-driven analytics experiences.

Requirements

  • 10+ years of experience in data analytics, business intelligence, or data product management, with at least 3 years in a leadership or head-of-function role.
  • Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments.
  • Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g. Tableau, Power BI, Looker, or similar).
  • Strong familiarity with data engineering workflows (ETL, data modeling, API integrations).
  • Experience leading cross-functional collaboration across product, engineering, and commercial teams.
  • Exceptional analytical, strategic thinking, and communication skills.
  • Proven ability to build scalable reporting and analytics products from concept to market.

Nice To Haves

  • Experience with AI/ML-based insight generation or customer intelligence systems is preferred
  • Knowledge of retail operations, shrinkage, and loss prevention analytics.

Responsibilities

  • Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources.
  • Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products.
  • Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams.
  • Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards.
  • Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality.
  • Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities.
  • Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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