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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.
Job Responsibility:
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
Requirements:
10+ years of experience in data analytics, business intelligence, or data product management
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
Knowledge of retail operations, shrinkage, and loss prevention analytics
Proven ability to build scalable reporting and analytics products from concept to market
Nice to have:
Experience with AI/ML-based insight generation or customer intelligence systems is preferred
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