Senior Manager, Technical Program Manager - Machine Learning
Company: Capital One
Location: Atlantic City
Posted on: November 14, 2024
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 certificationAt 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.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, Baltimore , Senior Manager, Technical Program Manager - Machine Learning, IT / Software / Systems , Atlantic City, Maryland
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