MidFull TimeEN
We’re looking to hire a Manager, Product Management for AI/ML Model Governance to join the Machine Learning Experience (MLX) team!
At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. Product Management at Capital One is a critical, vibrant craft that requires a blend of entrepreneurial drive, keen business acumen, customer experience obsession, technical depth and strong people leadership.
The MLX team is at the forefront of how Capital One builds and deploys responsible GenAI and ML models; we onboard and educate associates on the GenAI and ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse Generative AI and ML into the fabric of the company. The AI experience we're creating is the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our customers.
Specific responsibilities include, but are not limited to:
Develop and communicate the product vision and strategy for your area of responsibility
Deeply understand the needs of data scientists, machine learning engineers and model risk officers across Capital One
Partner with business and technology leadership to align on prioritization of key problems to be solved to maximize business and customer outcomes
Collaborate with teams in India and USA to drive alignment with different teams working on the platform
Incorporate design thinking and analytics to inform product design
Maintain a healthy backlog of work and play a critical role in many agile ceremonies.
Support the team with escalation and resolution of impediments
Serve as the connection between Customers, Capital One’s mission, and Tech. Partners
We want you if you are:
Interested in building lasting relationships with peers and having fun while building products that delight customers and drive value to the business.
You enjoy putting yourself in the shoes of customers to identify their pain points and then collaborating with cross-functional teams to solve these customer challenges. Even better if you have experience doing this for data scientists and machine learning engineers.
You are a learner who is able to quickly get up to speed in a highly technical environment.
Passionate about building a well-rounded product management skill set that is human centered, business focused, and technology driven with an emphasis on integrated problem solving and people leadership.
You are experienced working in an Agile environment.
You are a do-er who can also zoom out and think strategically.
You have excellent oral and written communication skills.
You are highly collaborative and have the ability to influence and lead.
Basic Qualifications:
Bachelor’s in Engineering or Technology.
At least 8 years of professional work experience.
At least 5 years of experience in product management.
At least 3 years of experience in building Enterprise AI/ML platform products or AI/ML powered products for enterprises.
Preferred Qualifications:
MBA or Master’s degree.
Expertise in building enterprise platform products with focus on AI/ML Model Governance, AI/ML Model Risk Management and Automation.
Experience with Generative AI and Machine Learning technologies.
Experience in Data Science or Business Analytics.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
