Head of Offer & Commercial Development managing product and commercial strategies for NA Data Labs. Leading innovations in data and analytics offerings in collaboration with client teams.
Responsibilities
Lead market-driven innovation, using direct client feedback and market demand to develop new, unique integration offers.
Position analytics as a strategic, revenue-generating offering, not just a supporting cost center.
Proactively identify opportunities to embed analytics and Behavioral Science frameworks into existing and newly developed offers.
Complement and enhance the power of products and services provided by Ipsos’s main Service Lines, creating a unique value proposition.
Work in close partnership with the Client Development and Marketing (CO) teams to package offers for maximum sales impact.
Develop the go-to-market strategy for new analytical products and solutions.
Develop and execute business plans for targeted clients, reflecting strong strategic thinking and a clear path for delivering profitable growth.
Act as the key strategic advisor and executive sponsor for Data Labs' most important clients.
Build and grow deep relationships with cross-divisional business units, Service Lines, and the central Commercial Organization (CO) to deliver integrated products to clients.
Provide thought leadership directly to clients on matters of data analytics and integration.
Requirements
10+ years of experience in data analytics, consulting, or related fields
Broad knowledge of the field (market trends, client needs, analytics)
Able to work under broad direction
Strong relationship building and influence skills
Strong commercial acumen and experience driving revenue through analytics
Expertise in data integration, advanced analytics, and business intelligence
Proven leadership and diplomacy working with multiple stakeholders
Advanced degree (Master’s or PhD) in a quantitative field (e.g., Data Science, Statistics, Economics)
Experience in market research or behavioral science
Familiarity with tools such as Python, R, SQL, Tableau, and cloud platforms (AWS, Azure, GCP)
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