Senior Manager, Technical Program Manager - Machine Learning
Company: Capital One
Location: Moonachie
Posted on: October 29, 2024
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Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaSenior Manager, Technical Program Manager - Machine
LearningAre you interested in leading programs that deliver on
critical business goals and build large scale products &
platforms?
At Capital One, we believe that Machine Learning (ML) represents
the biggest opportunity in financial services today, and is a
chance to revolutionize the industry. Capital One's commitment to
Machine Learning has sponsorship from the CEO, the Board of
Directors, and the executive committee of the company. The Machine
Learning Experience (MLX) org is at the heart of this effort, and
is leading the way in building and delivering platforms,
intelligent customer experiences that supercharge responsible ML
across Capital One.
As a Senior Manager of Technical Program Management (TPM) on
Capital One's Enterprise Machine Learning team, you will execute on
high priority enterprise level initiatives, and influence across
our organization. Specifically, you will be partnering closely with
product, engineering, data scientists, and other cross functional
teams to create roadmaps, scope programs aligning them with
business priorities, define milestones and success metrics, and
build scalable, secure, reliable, efficient ML products and
platforms. This role will be responsible for big picture thinking,
presenting to executive stakeholders, and holding engineering teams
accountable for overarching delivery goals.
In addition to the technical program, you will also work to pave
the way for an expanding TPM discipline within the team, by
leveraging your industry knowledge and experience to teach the
organization what a great TPM can achieve.
Our TPM Sr. Managers have:
Strong technical backgrounds (ideally building highly scalable
platforms, products, or services) with the ability to proactively
identify and mitigate technical risks throughout delivery
life-cycle
Exceptional communication and collaboration skills
Excellent problem solving and influencing skills
A quantitative approach to problem solving and a collaborative
implementer to holistic solutions; a systems thinker
Ability to simplify the technically complex and drive well-educated
decisions across product, engineering, design, and data science
representatives
Deep focus on execution, follow-through, accountability, and
results
Exceptional cross-team collaboration; able to work across different
functions, organizations, and reporting boundaries to get the job
done.
Highly tuned emotional intelligence, good listener, and deep seated
empathy for teams and partners
Previous experience with machine learning (building models,
deploying models, setting up cloud infrastructure and/or data
pipelines) and familiarity with major ML frameworks such as
XGBoost, PyTorch, AWS SageMaker, etc.
Manage program communications with key stakeholders at all levels
across the company to enable transparency and timely information
sharing
Serve as the connective tissue across functions, business units,
bringing teams together to foster collaboration, improve
decision-making, and deliver value for customers, end to end
Basic Qualifications:
At least 5 years of experience managing technical programs
Bachelor's degree
Preferred Qualifications:
5+ years of experience designing and building data-intensive
solutions using distributed computing
3+ years of experience in building distributed systems & highly
available services using cloud computing services / architecture -
preferably using AWS
3+ years experience building highly scalable mobile products &
platforms
3+ years of experience with Agile delivery
3+ years experience delivering large and complex programs - where
you own the business or technical vision, collaborate with large
cross-functional teams, secure commitments on deliverables, and
unblock teams to land business impact
4+ years of technical program management experience
2+ years of Machine Learning experience
Experience in building systems & solutions within a highly
regulated environment
Bachelor's degree or higher in a related technical field (Computer
Science, Software Engineering)
PMP, Lean, Agile, or Six Sigma certification
At this time, Capital One will not sponsor a new applicant for
employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are
listed below, by location. Please note that this salary information
is solely for candidates hired to perform work within one of these
locations, and refers to the amount Capital One is willing to pay
at the time of this posting. Salaries for part-time roles will be
prorated based upon the agreed upon number of hours to be regularly
worked.
New York City (Hybrid On-Site): $199,100 - $227,200 for Sr.
Manager, Technical Program ManagementSan Francisco and San Jose,
California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager,
Technical Program ManagementCandidates hired to work in other
locations will be subject to the pay range associated with that
location, and the actual annualized salary amount offered to any
candidate at the time of hire will be reflected solely in the
candidate's offer letter.
This role is also eligible to earn performance based incentive
compensation, which may include cash bonus(es) and/or long term
incentives (LTI). Incentives could be discretionary or non
discretionary depending on the plan.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.
This role is expected to accept applications for a minimum of 5
business days.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).
Keywords: Capital One, Bayonne , Senior Manager, Technical Program Manager - Machine Learning, Executive , Moonachie, New Jersey
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