Director of Strategic Analytics

Key Responsibilities

• Lead the company’s strategic analytics and business intelligence initiatives across customer, operational, and executive reporting environments.
• Develop scalable dashboards, KPI frameworks, reporting automation, and data models that support operational visibility and customer-facing analytics.
• Analyze large-scale video classification and theft event data to identify trends, operational gaps, risk patterns, and actionable business opportunities.
• Ensure data integrity, governance, consistency, security, and accessibility across multiple systems and platforms.
• Drive continuous improvement of analytics infrastructure, reporting capabilities, and data visualization tools.
• Partner with Engineering and Product teams to enhance analytics architecture and accelerate delivery of actionable customer insights.
• Leverage AI, machine learning, and predictive analytics capabilities to improve theft detection insights and operational intelligence.

Customer Engagement & Operational Insights

• Work directly with enterprise retail customers to translate analytics into operational recommendations and measurable business outcomes.
• Deliver executive-level business reviews, operational dashboards, KPI reporting, and strategic insights to customer leadership teams.
• Help customers improve shrink reduction initiatives, operational execution, and adoption of Gatekeeper analytics solutions.
• Support customer onboarding, go-live readiness, adoption planning, and long-term operational optimization initiatives.
• Build trusted relationships with Asset Protection, Retail Operations, and Executive Leadership teams within customer organizations.

Subscription Growth & Strategic Impact

• Support subscription growth initiatives by identifying opportunities for increased platform adoption, analytics utilization, and operational expansion.
• Partner with Sales, Customer Success, Product, and Executive Leadership teams to support strategic account growth and long-term customer retention.
• Identify operational challenges and business opportunities that can drive additional customer value and recurring revenue expansion.
• Influence product roadmap discussions through customer feedback, operational findings, and market insights.

Leadership & Cross-Functional Collaboration

• Collaborate across Operations, Product, Engineering, Sales, and Customer Success teams to align analytics initiatives with business objectives.
• Create scalable operational frameworks and repeatable analytics processes that improve customer outcomes and internal efficiencies.
• Mentor and influence teams across analytics and operational functions.
• Foster a data-driven culture focused on execution, accountability, and measurable business impact.

Qualifications

• 10+ years of experience in business intelligence, analytics, retail operations, SaaS, operational strategy, consulting, or enterprise customer-facing leadership roles.
• Proven experience translating complex analytics into operational and business recommendations.
• Experience working directly with enterprise customers and executive stakeholders.
• Strong understanding of operational analytics, retail intelligence, loss prevention technologies, or AI-driven analytics platforms preferred.
• Strong experience with business intelligence platforms, dashboard development, data visualization, operational reporting, and analytics strategy.
• Experience building scalable analytics solutions that support both internal operations and customer-facing insights.
• Strong understanding of data architecture, KPI development, reporting strategy, and data governance principles.
• Ability to synthesize large and complex datasets into actionable operational insights.
• Experience leveraging AI, machine learning, and predictive analytics preferred.
• Executive presence with exceptional communication and presentation skills.
• Strong business acumen with the ability to connect analytics to operational and financial outcomes.
• Ability to influence executive decision-makers through data-driven storytelling and strategic recommendations.
• Highly collaborative leader capable of working across technical and non-technical teams.
• Strong problem-solving mindset with a focus on execution and measurable results.