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Vice President Machine Learning Jobs in Delaware

Athena LLC

This role does not oversee Talent Acquisition or Learning & Development. Instead, it focuses on ... True VP scope with enterprise visibility * Lead a global team of ~20 * Opportunity to build - not ...

JP Morgan Chase

Service Design Vice President

Wilmington, DE · On-site

$134.40K - $172.20K/yr

As a Service Design Vice President in Consumer and Community Banking, you will play a pivotal role ... accelerated learning program, or equivalent work experience. Preferred experience working in ...

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Vice President Machine Learning information

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$35.5K

$114.8K

$181.7K

How much do vice president machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for vice president machine learning in Delaware is $114,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $143,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a Vice President of Machine Learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What does a Vice President of Machine Learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Vice President Machine Learning jobs in Delaware? For Vice President Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Vice President Machine Learning jobs in Delaware look for? The top searched job categories for Vice President Machine Learning jobs in Delaware are:
What cities in Delaware are hiring for Vice President Machine Learning jobs? Cities in Delaware with the most Vice President Machine Learning job openings:
Vice President Machine Learning jobs near you

Vice President, Global People Operations

Athenago

Wilmington, DE

Full-time

Posted 20 days ago

Job description

Location: USA (any state)

Reports to: President & COO

Team: ~20 globally

About Athena

Athena is a 4,000-employee, multi-country organization generating approximately $100M in annual revenue and continuing to grow.

As we've scaled, our people systems and processes have not kept pace with our global footprint. Historically, HR ownership was distributed across multiple executives - payroll and compensation under Finance, talent processes under Operations, and HR systems under Technology.

We are now consolidating People Operations under a single leader to modernize our infrastructure, unify governance, and build a scalable employee lifecycle experience.

This is a rare opportunity to step into VP-level scope and architect a global People Operations function at scale.

The Opportunity

We are seeking a high-impact, systems-oriented People leader - likely at the Director or Senior Director level today - who is ready to step into enterprise VP scope.

You will lead a global team of approximately 20 and own the operational backbone of the employee lifecycle across multiple countries.

This role does not oversee Talent Acquisition or Learning & Development. Instead, it focuses on:

  • People Operations strategy & governance

  • Compensation and organizational design infrastructure

  • Workforce planning and analytics

  • HR systems (including WorkDay optimization)

  • Global process standardization

  • End-to-end employee lifecycle execution

If you are energized by building structure, modernizing systems, and scaling operational excellence - this role is for you.

What You Will Do

Lead Global People Operations

  • Consolidate and unify People Operations under a clear model

  • Define KPIs, dashboards, and executive reporting

  • Establish governance, standards, and accountability across regions

  • Lead and develop a 25-person global team located primarily in the Philippines, Kenya, and Guatemala

Modernize Infrastructure

  • Optimize and expand WorkDay adoption

  • Ensure clean data architecture and reporting rigor

  • Identify automation opportunities and eliminate inefficiencies

  • Build scalable, repeatable processes

Elevate Compensation & Org Design

  • Standardize global leveling frameworks

  • Renovate compensation structures and pay architecture

  • Improve span-of-control discipline and org modeling

  • Partner with Finance on workforce planning alignment

Strengthen the Employee Lifecycle

  • Redesign onboarding and offboarding processes

  • Standardize performance management governance

  • Institutionalize succession planning infrastructure

  • Lead engagement measurement and action planning

  • Ensure consistent employee experience across countries

What Success Looks Like (First 18 Months)

  • A unified and clearly defined global People Operations model

  • Stabilized and optimized WorkDay ecosystem

  • Standardized compensation and leveling architecture

  • Embedded workforce planning discipline

  • Clear, measurable People Operations KPIs

  • Improved operational efficiency and employee experience metrics

What We're Looking For

Experience

  • 10-15+ years progressive HR / People Operations leadership

  • Currently Director or Senior Director (or equivalent) in a global organization

  • Experience leading HR Operations, Total Rewards, or People Infrastructure

  • Direct experience with enterprise HRIS implementation (WorkDay preferred)

  • Compensation architecture and org design exposure

  • Experience managing multi-country processes

Capabilities

  • Systems thinker who builds scalable infrastructure

  • Strong financial and workforce planning acumen

  • Data-driven and analytically rigorous

  • Experienced people leader comfortable managing distributed teams

  • Strong cross-functional partner with Finance and Technology

  • Builder mindset - comfortable operating in evolving environments

Why This Role Is Compelling

  • True VP scope with enterprise visibility

  • Lead a global team of ~20

  • Opportunity to build - not inherit - a mature system

  • Direct exposure to executive leadership

  • Chance to modernize People Operations for a 4,000-person organization

This is an opportunity to move from functional leadership into enterprise impact.

If you are ready to step into VP-level responsibility and build something enduring, we would love to meet you.

Apply