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Senior Manager Artificial Intelligence Jobs (NOW HIRING)

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Senior Manager Artificial Intelligence information

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$28.5K

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How much do senior manager artificial intelligence jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior manager artificial intelligence in the United States is $97,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $136,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Manager Artificial Intelligence vs Data Scientist?

AspectSenior Manager Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in AITechnical data analysis and modeling

The Senior Manager Artificial Intelligence typically oversees AI projects, manages teams, and aligns AI strategies with business goals. Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require strong technical skills, the Senior Manager role emphasizes leadership and strategic planning, whereas Data Scientists are more hands-on with data analysis and modeling.

What are the key skills and qualifications needed to thrive as a senior manager artificial intelligence?

To thrive as a Senior Manager Artificial Intelligence, you need a strong background in computer science, AI/ML algorithms, and leadership, often supported by an advanced degree and relevant industry experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and project management tools is typically required, along with certifications in AI or data science. Outstanding communication, strategic thinking, and team leadership abilities help drive innovation and foster cross-functional collaboration. These skills and qualities are essential for successfully leading AI initiatives that align with business objectives and deliver measurable value.

How does a senior manager artificial intelligence typically balance technical leadership with team management responsibilities?

A Senior Manager of Artificial Intelligence often divides their time between providing strategic technical guidance and overseeing the professional development of their team. They are expected to set the vision for AI projects, review technical designs, and ensure alignment with business objectives, while also mentoring team members, managing project timelines, and facilitating collaboration across departments. Balancing these responsibilities requires strong communication skills and the ability to prioritize tasks effectively. Additionally, they frequently interact with stakeholders to translate complex AI concepts into actionable business strategies.

What does a senior manager artificial intelligence do?

A Senior Manager of Artificial Intelligence oversees the strategy, development, and deployment of AI-driven solutions within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to deliver projects that solve business problems using AI technologies. Additionally, they collaborate with other departments to identify opportunities for AI, ensure ethical AI practices, and manage project timelines and budgets. Their role is crucial in aligning AI initiatives with the company’s overall goals and ensuring the successful adoption of AI solutions.
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What cities are hiring for Senior Manager Artificial Intelligence jobs? Cities with the most Senior Manager Artificial Intelligence job openings:
What states have the most Senior Manager Artificial Intelligence jobs? States with the most job openings for Senior Manager Artificial Intelligence jobs include:
What job categories do people searching Senior Manager Artificial Intelligence jobs look for? The top searched job categories for Senior Manager Artificial Intelligence jobs are:
Infographic showing various Senior Manager Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $97,101 per year, or $46.7 per hour.

Senior Manager, Product Management - Artificial Intelligence (AI)

Vanguard Group, Inc.

Malvern, PA • On-site

$124K - $163K/yr

Full-time

Posted 19 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Role Summary
This role leads a team responsible for the strategic vision and roadmap for an intelligent platform that surfaces prioritized signals and insights to client-facing crew - powering downstream experiences across multiple product surfaces. This role demonstrates a deep understanding of the digital product and associated business areas, including the cross-divisional implications of platform decisions. The role incorporates deep partnership with data science and engineering to drive innovation at the intersection of data, decisioning, and advisor workflow, and influences product direction and cross-functional execution across the entire product life cycle.
Responsibilities
  • Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
  • Oversees digital product management activities for a strategic intelligence platform product with cross-divisional impact.
  • Defines and owns the product strategy for a signal and intelligence platform, translating data science capabilities into prioritized crew experiences through close partnership with engineering, analytics, and downstream product teams.
  • Influences and collaborates with cross-functional teams - including data science, engineering, and downstream product organizations to create best practices that drive significant change to the crew and client experience.
  • Provides guidance and coaches digital product teams towards best practices and learnings. Oversees digital product teams' support of the messaging, communication, and customer outreach as necessary.
  • Facilitates strong business support through working with team members to promote a consistent approach to decisions and client propositions. Drives connection across all appropriate internal and external stakeholders.
  • Leads the planning, development, and implementation of a new platform product with cross-divisional impact, including 0-to-1 product development experience in data or intelligence platform contexts. Defines and analyzes markets, develops detailed product features and requirements, and develops implementation plans.
  • Influences and employs a variety of qualitative and quantitative analysis techniques to continually improve the user experience.
  • Participates in and influences ongoing business planning and departmental prioritization activities.
  • Participates in special projects and performs other duties as assigned.
  • Manages the entire product life cycle from strategy and planning through execution, ensuring alignment with organizational goals and customer needs.
  • Conducts market research and analyzes consumer trends to identify opportunities for product innovation and enhancement.
  • Defines key product features and functionality and oversees execution by collaborating with cross-functional teams.
  • Prepares product documentation and provides technical support to internal teams including sales and marketing.
  • Leverages market and user feedback to evaluate existing product functionality and guide future roadmap decisions.

Qualifications and Skills
  • Minimum 10 years of experience in product management, with at least 3 years in innovation strategy and execution. Supervisory experience preferred.
  • Bachelor's degree in business, Computer Science, Engineering, or related field; Graduate degree preferred.
  • Good to have skills in product lifecycle management, stakeholder engagement, market research, innovation strategy, and customer experience improvement. Strong understanding of digital product ecosystems and ability to work with engineering, marketing, and operations teams. Experience with data or intelligence platform products - including signal detection, recommendation systems, or next-best-action frameworks - strongly preferred. Familiarity with data pipeline concepts, ML product development, and cross-product API-driven integrations is a plus.
  • Excellent communication, analytical thinking, problem-solving, team leadership, and time management skills.
  • Preferred certifications include Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or Product Management certifications from Pragmatic Institute or AIPMM.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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