Product Manager - Enterprise Ai/Ml Platforms

**Description**
**You Lead the Way.
Weve Got Your Back.
**
With the right backing, people and businesses have the power to progress in incredible ways.
When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other.
Here, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success.
Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day.
And well do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

How we serve our customers is constantly evolving and is a challenge we gladly accept.
Whether youre finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business.
And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path.
Find your place in risk and analytics on #TeamAmex.

We are seeking a highly motivated individual with hands-on experience in model development and implementation using Machine Learning, Deep Learning, Natural Language Processing and/or Generative AI modeling techniques.
You will be responsible for designing, developing, and deploying scalable machine learning models on hybrid cloud environments while ensuring seamless integration with business processes.
Your expertise in both data science and advanced computing methods for modeling, will enable us to accelerate model development life cycle, and optimize compute resource utilization.
You will drive innovation through cutting edge research and collaboration with industry partners, academia, business teams, and data science community.
If you have a strong background in statistics, computer science, or mathematics, excellent communication skills, and a passion for driving impactful business outcomes, we'd love to hear from you!

**Key Responsibilities:**
+ **Lead Data Science Projects:** Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.

+ **Develop Modeling Capabilities on Cloud:** Hands-on experience with popular frameworks like TensorFlow, PyTorch, Transformers, CUDA, etc., focusing on scalability, performance, and interpretability.

+ **Collaborate Across Teams:** Work closely with stakeholders, product managers, engineers, and analysts to integrate data insights into business strategies and inform product roadmaps.

+ **Develop Scalable Solutions:** Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., OpenShift, Docker, GCP) and programming languages like Python, BigQuery, Spark, etc.

+ **Lead Innovation through external perspective:** Research emerging trends and advancements in machine learning, deep learning, NLP, and generative AI; apply this knowledge to solve complex problems
+ **Communicate Insights Effectively:** Present findings, recommendations, and results to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations.

+ **Mentor Junior Team Members:** Guide junior data scientists and analysts on project execution, best practices, and professional development.

**Minimum Qualifications** :
+ Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related field
+ At least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environments
+ Strong programming skills in at least one language (Python, SQL, Spark, C )
+ Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
+ Excellent written and verbal communication skills
+ Ability to collaborate effectively across functions and levels
+ Strong problem-solving skills, with attention to detail and analytical rigor
+ Experience working in agile environments, with iterative development cycles
+ Comfortable working across locations and time zones, with both co-located and remote team members
**Preferred Qualifications** :
+ Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related field
+ 5 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environments
+ In-depth knowledge of deep learning techniques (CNNs, RNNs, Transformers), NLP concepts and tools, generative AI models, and cloud platforms (AWS, GCP, Azure)
+ Proficiency in multiple programming languages (including Python, SQL, Spark, C , CUDA) and familiarity with containerization (Docker) and orchestration (Kubernetes)
+ Experience with data visualization tools such as Tableau, D3.js
**Qualifications**
Salary Range: $90,000.00 to $165,000.00 annually bonus benefits
The above represents the expected salary range for this job requisition.
Ultimately, in determining your pay, well consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being.
That means we prioritize their physical, financial, and mental health through each stage of life.
Benefits include:
+ Competitive base salaries
+ Bonus incentives
+ 6% Company Match on retirement savings plan
+ Free financial coaching and financial well-being support
+ Comprehensive medical, dental, vision, life insurance, and disability benefits
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .

At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success.
Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day.
And well do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

We back our colleagues with the support they need to thrive, professionally and personally.
That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture.
Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers/Employees - Click here to view the Know Your Rights poster and the Pay Transparency Policy Statement.

If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.

**Job:** Product
**Primary Location:** US-Arizona-Phoenix
**Other Locations:** US-New York-New York
**Schedule** Full-time
**Req ID:** 24014576