Senior Manager, Product Management

Job Summary

Capital One India is looking to hire a Sr. Manager, Product Management for AI/ML Model Monitoring and 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 were 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.

Responsibilities

• 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
• Collaborate with the design team and guide their investments for research, prototyping, experimentation, and overall design thinking.
• Clearly communicate product plans, benefits, and results, as appropriate, to a spectrum of audiences, from internal stakeholders to executives, employees to end-users.

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 10 years of experience in software engineering or information technology.
• At least 7 years of experience in product management.
• At least 5 years of experience with AI/ML (powered) platforms, products or experiences.

Preferred Qualifications

• MBA or Master\'s degree.
• 2+ years of experience in building enterprise platform products with focus on AIOps and MLOps, AI/ML Model Monitoring and Governance, AI/ML Model Risk Management and Automation, and/or LLM-powered co-pilot, agent assist capabilities.
• 1+ years of experience with Generative AI and Machine Learning technologies.
• Domain Expertise in Data Science or Business Analytics.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.