Voyager (94001), India, Bangalore, Karnataka

Senior Manager, Product Management

At Capital One, we think big and do bigger things. We are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world- class products and services impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change.

At DataLabs, Capital One India, we solve fundamental business problems using advanced analytics, data science and machine learning. We prides ourselves on our exceptionally vibrant culture. Our Associate Development program enables us to shape amazing careers for our associates. Our Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives.

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. We are looking for a Senior Manager, Product Management to join the Machine Learning Experience (MLX) team. The MLX team is at the forefront of how Capital One builds and deploys responsible ML models and features; we drive new innovation and research; and we’re working to seamlessly infuse AI and ML into the fabric of the company. The ML 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

• Responsible for a team of directly reporting product managers

• 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 your team

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 Degree

• At least 7 years of experience in product management or at least 10 years of experience in business analysis or data science

Preferred Qualifications :

• MBA or master’s degree

• 2+ years of people leadership experience leading product manager teams

• Experience building products for data scientists, machine learning engineers or model risk officers.

• Experience with Machine Learning and Artificial Intelligence technologies.

• Experience working at a startup or in a startup environment.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).