New York, NY Senior Director, Applied AI Customer Data NY 10001

Job description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities to deliver transformation tailored to our clients’ challenges. Informed and validated by science and data. Superpowered by creativity and design. Underpinned by technology created with purpose. Joining frog means you'll be joining the "pond," a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience through design, while each bringing our unique and diverse skills and experiences to the table. About the Job You’re Considering AI is changing how organizations understand, engage, and create value for customers. Within frog, Applied AI for Customer Data connects customer strategy and human-centered design with the data, analytics, AI, and technology capabilities needed to activate customer intelligence at scale. This role will help clients modernize marketing and customer engagement across commerce, sales, service, loyalty, and experience. The focus is moving clients from fragmented data and isolated AI pilots toward connected, responsible, and measurable customer transformation. Your Role As Senior Director, Applied AI for Customer Data, you will lead the growth of frog’s customer data and applied AI capability in North America. You will advise C-suite leaders, shape and sell consulting engagements, oversee delivery, develop market offerings, and build multidisciplinary teams. This is a senior consulting leadership role, not a hands-on data-engineering or data-science position. You will need enough technical and analytical depth to challenge assumptions, guide specialists, assess feasibility, and connect data and AI investments to customer and commercial outcomes. Key responsibilities include: 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. Your Skills + Experience You are a senior customer-data and AI transformation leader who can connect executive priorities to the strategy, data, technology, operating model, and organizational capabilities required to deliver measurable results. Required Experience 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 areas such as 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. Preferred Experience 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. Bachelor’s degree required; an MBA, master’s degree, or relevant advanced degree is preferred. Willingness to travel based on client needs. The base compensation range for this role in the posted location is: $180,000 to $280,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Can