Senior analytics leader driving growth across strategic retail client portfolio at dentsu. Partnering with internal teams to deliver measurable impact in analytics and AI solutions.
Responsibilities
Partner with Strategic Retail Clients to be a senior advisor, embedding analytics into business-critical functions.
Build and lead hybrid teams (onshore + offshore) that deliver scalable, high-quality, and innovative analytics solutions.
Work with enterprise sales and client partners to identify, shape, and pursue new analytics opportunities.
Define and evangelize our analytics vision—extending beyond marketing into commercial functions.
Lead solutioning efforts, go-to-market strategies, and proposal development that position us as a differentiated partner.
Build, mentor, and scale hybrid analytics teams, fostering innovation, accountability, and excellence.
Stay ahead of market trends in data science, AI/ML, data engineering, and latest retail technologies.
Requirements
15+ years of experience in analytics consulting or professional services, with a strong focus on retail and commercial analytics.
Bachelor's or Master's degree in a quantitative or business discipline (e.g., Mathematics, Statistics, Economics, Data Science, Engineering, or MBA).
Experience with building and scaling analytics programs across sales, pricing, merchandising, supply chain, and go-to-market functions.
Demonstrated success leading hybrid teams (onshore client-facing + offshore/global delivery) and managing revenue and margin outcomes.
Hands-on practitioner who can dive into technical detail, including solution design, code reviews, and analytics execution.
Grounding in data engineering and cloud platforms (Azure, AWS, GCP), given the significant role of data engineering in retail analytics.
Familiarity with competitive intelligence techniques, web scraping technologies, and modern data pipelines.
Exceptional communication skills, executive presence, and ability to influence at the C-suite level.
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