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AI & Data Lead with Wealth & Investment Management

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location : New York

Job Description

Job Title: AI & Data Lead with Wealth & Investment Management

Experience Level: 12+ Years

Industry: Banking/Financial Services – Wealth & Investment Management

Employment Type: Full-Time

About the Role:

We are seeking a highly experienced and visionary AI & Data Lead with over 12 years of experience in financial services, specifically within wealth and investment management. This role demands a deep understanding of the private wealth advisory lifecycle, AI/ML platforms, and cloud-native architectures. The ideal candidate will bring a strong technical foundation, leadership capabilities, and a passion for driving innovation through data and AI transformation.

Key Responsibilities

+ Lead the design and implementation of scalable AI/ML platforms and architectures tailored to wealth and investment management.

+ Drive large-scale data and AI transformation initiatives across advisory ecosystems, including captive advisors and Registered Investment Advisors (RIAs).

+ Architect and develop solutions using AWS services such as Amazon SageMaker and Amazon Bedrock.

+ Guide and mentor development teams, including prompt engineering and model optimization.

+ Collaborate with cross-functional teams to align AI strategies with business goals.

+ Ensure robust cloud architecture and deployment strategies are in place.

+ Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Required Skills

+ 12+ years of experience in financial services with a focus on wealth and investment management data.

+ Proven track record of delivering AI and machine learning projects with measurable business impact.

+ Hands-on experience with the private wealth management advisory lifecycle.

+ Proficiency in AWS services, especially Amazon SageMaker and Amazon Bedrock.

+ Strong programming skills in Python, Java, or similar languages.

+ Deep understanding of cloud architecture and deployment strategies.

+ Experience leading development teams and AI/ML initiatives.

+ Excellent verbal and written communication skills.

Preferred Qualifications:

+ Experience with AWS AI/ML services such as Amazon Rekognition, Amazon Comprehend, and Amazon Lex.

+ Knowledge of data engineering and ETL pipelines.

+ Familiarity with containerization tools like Docker and Kubernetes.

+ Understanding of data privacy, governance, and security best practices.

Nice to Have:

+ Experience with generative AI models and frameworks (e.g., GPT, GANs).

+ Knowledge of big data technologies such as Hadoop, Spark, or Kafka.

+ Proficiency with AI/ML libraries like TensorFlow, PyTorch, or scikit-learn.

+ Strong grasp of DevOps practices and CI/CD pipelines

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

+ Flexible work

+ Healthcare including dental, vision, mental health, and well-being programs

+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan

+ Paid time off and paid holidays

+ Paid parental leave

+ Family building benefits like adoption assistance, surrogacy, and cryopreservation

+ Social well-being benefits like subsidized back-up child/elder care and tutoring

+ Mentoring, coaching and learning programs

+ Employee Resource Groups

+ Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 - $145000/yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with 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.

Ref. code: 244741

Posted on: May 21, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, US

Brand: Capgemini

Professional Community: Data & AI

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.