Director, Product Management - Enterprise Data Insights, Machine Learning Services
Company: Capital One
Location: Lewisville
Posted on: January 25, 2023
Job Description:
Plano 7 (31067), United States of America, Plano, TexasDirector,
Product Management - Enterprise Data Insights, Machine Learning
ServicesData 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
authorityResponsible 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 doneResponsible 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 ReportsBasic 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 productsAt 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 -. 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 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.comCapital 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, Lewisville , Director, Product Management - Enterprise Data Insights, Machine Learning Services, Executive , Lewisville, Texas
Didn't find what you're looking for? Search again!
Loading more jobs...