Director – Commerce Analytics, Intelligence

atdentsu AustriaRemoteUS flagUnited StatesFull-timeDirectorLead$136k – $190k/year

Posted Sep 11

This is a fully remote position, open to applicants in United States.

📋 Description

• Formulate top-tier strategies and oversee Insights and Analysis activities for designated clients.

• Act as the leading analytics authority and trusted consultant for the client.

• Manage the analytics domain encompassing consumer decision modeling, semantic/decisioning layers, pricing and promotion, assortment and localization, digital shelf, and competitive intelligence.

• Lead a flat, project-oriented team composed of both onshore and offshore members.

• Assemble teams based on project requirements and guide the work accordingly.

• Implement weekly status reports detailing progress, risks, and dependencies.

• Conduct monthly project-based business reviews for each area.

• Maintain a value scorecard that reflects client investment returns.

• Ensure that solutions have up-to-date documentation, defined workflows, and governance standards in the client’s environment.

• Transform delivered value into account growth and contribute to future opportunities.

• Report to practice leadership while managing the analytics discipline for the assigned account.

• Source talent from and provide talent to Merkle's global shared pool.


⛳️ Requirements

• Over 8 years of experience in commerce, retail, or merchandising analytics.

• Significant functional expertise in at least two of the following areas: pricing and promotion, assortment and space, consumer decision modeling / CDT, or competitive and digital-shelf intelligence.

• Strong business acumen regarding the four Ps and associated business drivers.

• Advanced technical proficiency in AI and machine learning, Python, SQL, and cloud computing.

• Familiarity with GCP, AWS, or Azure and their respective data/ML services.

• Proficiency with LLMs, agentic/GenAI, semantic and decisioning layers, experimentation and attribution platforms, and modern BI tools.

• Experience in leading senior client relationships as a trusted advisor.

• Ability to navigate complex, matrixed client organizations.

• Experience managing blended onshore/offshore teams across various time zones.

• Capability to translate business objectives into technical plans while maintaining delivery quality and timelines.

• Direct experience within a big-box or enterprise retailer's merchandising, category management, pricing, or online sectors is a plus.

• Experience in establishing a decisioning or semantic-layer product/business decision engine is advantageous.

• Proven track record of transforming delivery relationships into strategic partnerships and expanding them is beneficial.


🏝️ Benefits

• Medical, vision, and dental insurance.

• Life insurance.

• Short-term and long-term disability insurance.

• 401k plan.

• Flexible paid time off.

• A minimum of 15 paid holidays each year.

• Paid sick and safe leave.

• Paid parental leave.

• Flexible working arrangements, including remote options based on location and business requirements.

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