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Director, Product Management - Enterprise Data Insights, Machine Learning Services

Company: Capital One
Location: Mc Lean
Posted on: January 26, 2023

Job Description:

Plano 7 (31067), United States of America, Plano, Texas

Director, Product Management - Enterprise Data Insights, Machine Learning Services

Data Insights is a Capital One engineered enterprise platform that enables Machine Learning libraries as a service. This allows teams to solve for business monitoring, model monitoring, forecasting and prediction using machine learning algorithms with a no code platform. The machine learning technology detects anomalies in data in real-time, proactively signals critical trend changes, and conducts root cause analysis to identify the cause of these trends.

Capital One is currently using Data Insights to monitor fraud, credit performance, originations, market share, models, S3 buckets by IAM role and more. You'll get to work on an amazing team building a multi-tenant workflow orchestration platform running on Kubernetes using the latest distributed computing technologies powering some exciting use-cases.

  • Lead the ideation, product development and launch of Data Insights
  • Establish shared vision across the enterprise by building consensus on priorities leading to product execution
  • Define and analyze metrics that inform the success of products
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
  • Strength in building partnerships; working collaboratively in a matrix, proven influencing skills
  • Integrate usability studies, research and market analysis into product requirements to enhance features
  • Ability to thoroughly understand complex business and technical issues and influence decision making at all levels of the organization without formal reporting structure authority Responsible for Zero to One Activities
    • Drive the discovery, ideation and delivery for exposing the core platform features to the end user
    • Drive ML infrastructure decisions with technologists using understanding of ML modeling techniques
    • Engage with end users of the platform to discover feature capabilities to be built on the platform
    • Identify opportunities for continuous improvements and evangelizing usage of the platform
    • Participate in Enterprise and Commercialization forums
    • Drive requirements through appropriate Risk partners
    • Engage and Influence multiple stakeholders across Enterprise to get stuff done Responsible for Data Insights Product Development
      • Drive agenda for Data Insights Product Pods ( UX + Monitoring as a Service)
      • Build core AI/ML compute features on the platform by prioritizing key capability backed by research and customer empathy
      • Improve customer experience through client research and user forums feedback loop
      • Streamline internal onboarding process
      • Enable client communications
      • Become a SME on Data Insights Product capabilities Responsible for "Run the Engine" support
        • Oversee capacity planning / staffing for Data Insights
        • Support analytics on customer experience (NPS, etc.)Team Management
          • Lead cross functional product pods
          • 2-3 Direct Reports Basic Qualifications:
            • Bachelor's Degree or military experience
            • At least 7 years of experience in digital product management Preferred Qualifications:
              • Bachelor's Degree in Computer Science or Engineering
              • MBA or Master's degree
              • 2+ years of experience in Machine Learning or Data Insights
              • 5+ years of experience in Agile product management
              • 5+ years of experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

                Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

                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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 ; 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- or via email at . 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

                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).

Keywords: Capital One, Washington DC , Director, Product Management - Enterprise Data Insights, Machine Learning Services, Executive , Mc Lean, DC

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