Senior Manager, Technical Program Manager - Machine Learning
Company: Capital One
Location: Providence
Posted on: April 17, 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, 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, East Providence , Senior Manager, Technical Program Manager - Machine Learning, Executive , Providence, Rhode Island
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