Capgemini Service SAS

Senior Director, Applied AI - Customer Data

New York, NY, US

Actively hiring, first seen by us 6 days ago

Pay: $180,000–280,000/year · BaseAnnual period assumed. Not guaranteed — pay source
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.
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Work setting: Not stated
Employment: Not stated

Before you apply

Employer’s visa record: 4,980 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

Define North American growth strategy and market offering for customer-data AI
Advise C-suite leaders on customer-data, analytics, and agentic AI transformation
Shape, sell, and oversee complex consulting engagements and their economics
Lead multidisciplinary teams across strategy, design, data science, and engineering
Originate opportunities and grow strategic accounts and revenue

From the employer’s posting

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, sell, and oversee complex engagements, including discovery, solution design, proposals, executive presentations, commercials, delivery quality, and economics.

Lead multidisciplinary teams across strategy, marketing, design, data science, analytics, architecture, engineering, product, and organizational change.

Build executive relationships, originate opportunities, expand strategic accounts, and contribute to sales and managed-revenue objectives.

What you’ll bring

All qualifications

Core experience

15+ years of relevant experience across management consulting, customer strategy, customer analytics, marketing transformation, data and AI, or digital transformation.
Bachelor’s degree required; an MBA, master’s degree, or relevant advanced degree is preferred.
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.

Preferred 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.

Qualification wording

15+ years of relevant experience across management consulting, customer strategy, customer analytics, marketing transformation, data and AI, or digital transformation.

Bachelor’s degree required; an MBA, master’s degree, or relevant advanced degree is preferred. Willingness to travel based on client needs.

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.

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.

Education & alternatives

- 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

Apply at Capgemini Service SAS

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 8, 20266 days ago
Recorded sightings: 4
Last seen by us: Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$180K–$280K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 6

Early. Similar jobs usually come down between day 8 and day 57.

From 9,506 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

284 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Where the posting names them

- 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.

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About Capgemini Service SAS

People: About 11,267 in 2024.Benefit plan filings (Form 5500)
Company: Listed as CAP.PA.
H-1B visas: 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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