- Develop best-in-class strategies and manage Insights and Analysis activity for assigned clients
- Serve as the senior analytics voice and trusted advisor for the client
- Own the analytics discipline across consumer decision modeling, semantic/decisioning layers, pricing and promotion, assortment and localization, digital shelf, and competitive intelligence
- Lead a flat, project-based blended onshore/offshore team
- Assemble teams around projects and lead work according to project needs
- Establish weekly delivery status reporting with milestones, risks, and dependencies
- Conduct monthly project-based business readouts for each area
- Maintain a value scorecard showing client investment returns
- Ensure solutions have current documentation, clear workflows, and governance standards in the client's environment
- Convert delivered value into account expansion and contribute to the forward pipeline
- Report into practice leadership while leading the analytics craft for the assigned account
- Draw talent from and contribute talent to Merkle's shared global pool
Requirements
- 8+ years in commerce, retail, or merchandising analytics
- Real functional depth in at least two of: pricing and promotion, assortment and space, consumer decision modeling / CDT, or competitive and digital-shelf intelligence
- Fluent business acumen across the four Ps and related business levers
- Strong technical expertise in AI and machine learning, Python, SQL, and cloud computation
- Experience with GCP, AWS, or Azure and their data/ML services
- Fluency with LLMs and agentic/GenAI, semantic and decisioning layers, experimentation and attribution platforms, and modern BI
- Experience leading senior client relationships as a trusted advisor
- Experience navigating large, matrixed client organizations
- Experience leading blended onshore/offshore teams across time zones
- Ability to translate business intent into a technical plan and maintain delivery quality and timelines
- Direct experience inside a big-box or enterprise retailer's merchandising, category management, pricing, or online organization is an advantage
- Experience standing up a decisioning or semantic-layer product/business decision engine is an advantage
- Track record of converting delivery relationships into strategic, consultative partnerships and growing them is an advantage
Core Competencies
Demonstrates expertise in analytics strategy development, client relationship management, and team leadership within the commerce and retail sectors. Proficient in translating business needs into technical solutions while ensuring delivery quality and governance standards.
Highest-signal resume keywords
- Analytics Strategy Development
- Client Relationship Management
- AI And Machine Learning Expertise
- Python And SQL Proficiency
- Experience With GCP, AWS, Or Azure
Hard Skills
- Consumer Decision Modeling
- Pricing And Promotion Analysis
- Assortment And Space Management
- Digital Shelf Intelligence
- Business Intelligence (BI)
- Experimentation And Attribution Platforms
- Semantic And Decisioning Layers
- Cloud Computation
- Data Analysis
- Value Scorecard Maintenance
Soft Skills
- Leadership
- Communication
- Project Management
- Consultative Partnership Development
- Team Collaboration
Industry Keywords
- Commerce Analytics
- Retail Analytics
- Merchandising Analytics
- Category Management
- Big-Box Retail Experience
Tools & Technologies
- GCP
- AWS
- Azure
- Machine Learning Services
- Decisioning Layer Tools
- Semantic Layer Tools
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Director – Commerce Analytics, Intelligence Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
