Senior Director, Applied AI - Customer Data

Capgemini • New York, NY

4d • $180,000 - $280,000

About The Position

At Capgemini Invent, transformation consultants combine strategic, creative, and scientific capabilities to address client challenges through science- and data-informed work, creativity, design, and purposeful technology. frog is a global network of studios with in-person and virtual collaboration, focused on improving the human experience through design.

Within frog, Applied AI for Customer Data connects customer strategy and human-centered design with data, analytics, AI, and technology capabilities to activate customer intelligence at scale. The role supports clients modernizing marketing and customer engagement across commerce, sales, service, loyalty, and experience, helping them move from fragmented data and isolated AI pilots to connected, responsible, measurable customer transformation.

The Senior Director will lead growth of frog’s North American customer-data and applied-AI capability. This senior consulting leadership position involves advising C-suite leaders, shaping and selling engagements, overseeing delivery, developing market offerings, and building multidisciplinary teams. It is not a hands-on data-engineering or data-science role; it requires technical and analytical depth to challenge assumptions, guide specialists, assess feasibility, and connect data and AI investments to customer and commercial outcomes.

Requirements

• 15+ years of relevant experience across management consulting, customer strategy, customer analytics, marketing transformation, data and AI, or digital transformation.
• Senior leadership experience in consulting, advisory, digital agency, analytics, or technology services.
• Deep expertise in customer data and analytics, including segmentation, personalization, recommendations, loyalty, retention, customer lifetime value, journey analytics, and customer intelligence.
• Strong understanding of machine learning, generative AI, and agentic AI, including use-case selection, feasibility, specialist-team leadership, and responsible scaling.
• Experience shaping customer-data strategies across acquisition, quality, identity resolution, consent, governance, integration, analytics, decisioning, and activation.
• Experience leading marketing and customer transformation across marketing operations, audience strategy, media, content, CRM, loyalty, commerce, sales, service, and omnichannel engagement.
• Working knowledge of relevant ecosystems such as Adobe Experience Cloud, Salesforce Data Cloud, Google Cloud, AWS, Microsoft Azure, Databricks, Snowflake, Treasure Data, Tealium, Twilio Segment, or Braze.
• Demonstrated success advising C-suite stakeholders, originating opportunities, leading proposals, and converting client needs into significant transformation engagements.
• Experience leading complex multidisciplinary programs, scaling teams or offerings, and managing engagement economics, delivery risk, and account growth.
• Strong executive communication, facilitation, storytelling, negotiation, and thought-leadership capabilities.
• Bachelor’s degree required.
• Willingness to travel based on client needs.

Nice To Haves

• Enterprise-scale marketing modernization, customer intelligence, personalization, customer-data platform, MarTech, CRM, loyalty, or omnichannel transformation experience.
• Experience aligning CMO and Data or AI leadership around a shared customer-data and AI agenda and taking AI capabilities from pilot to scaled adoption.
• Familiarity with modern customer-data architecture, including CDPs, identity resolution, data clean rooms, real-time decisioning, MLOps, APIs, and cloud data platforms.
• Existing executive relationships, external market presence, or thought leadership in customer data, marketing transformation, customer analytics, or applied AI.
• An MBA, master’s degree, or relevant advanced degree.

Responsibilities

• Define the North American growth strategy and market proposition for Applied AI for Customer Data within frog.
• Advise C-suite leaders on customer-data, analytics, AI, and agentic AI transformation across marketing and the broader customer lifecycle.
• Shape strategies connecting customer data, marketing operations, content, media, commerce, CRM, loyalty, experience design, and intelligent activation.
• Translate business priorities into customer-data strategies, prioritized AI use cases, roadmaps, operating models, investment cases, and value-realization plans.
• Guide solutions across segmentation, personalization, recommendations, next-best-action, journey optimization, customer lifetime value, loyalty, retention, content intelligence, and marketing performance.
• Ensure solutions address privacy, consent, security, responsible AI, explainability, governance, and appropriate human oversight.
• Lead multidisciplinary teams across strategy, marketing, design, data science, analytics, architecture, engineering, product, and organizational change.
• Shape, sell, and oversee complex engagements, including discovery, solution design, proposals, executive presentations, commercials, delivery quality, and economics.
• Build executive relationships, originate opportunities, expand strategic accounts, and contribute to sales and managed-revenue objectives.
• Collaborate across frog and Capgemini to connect customer transformation with data platforms, AI engineering, cloud, CRM, commerce, and industry expertise.
• Develop offerings, accelerators, partnerships, case studies, and thought leadership while recruiting and developing high-performing teams.

Benefits

• Paid time off based on employee grade: vacation of 12–25 days, depending on grade; company-paid holidays; personal days; and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S. and RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior